Academic literature on the topic 'Improved Learning Ability'
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Journal articles on the topic "Improved Learning Ability"
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Tran, Thi Thuy Lan. "How Can Students' English Speech Skill Be Improved?" European Journal of Theoretical and Applied Sciences 1, no. 3 (2023): 523–27. https://doi.org/10.59324/ejtas.2023.1(3).52.
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One of the most crucial language abilities is the ability to speak English, particularly in the business. However, speaking abilities are still relatively poor among students in general and pedagogy students in particular. The essay will give ideas to enhance the standard of teaching and learning in schools and will discuss the current state of English learning among students in an effort to at least partially address these inadequacies.
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Agustina, Niki. "Improved Ability to Analyze Short Stories with Discovery Learning Model." Alinea: Jurnal Bahasa, Sastra, dan Pengajaran 1, no. 2 (2018): 66. http://dx.doi.org/10.35194/alinea.v1i2.4.
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This article discusses the improvement of the effectiveness of learning to analyze the short story by using discovery learning model. In addition, also discussed the increased interest of students in learning Research conducted using Classroom Action Research methods as much as three cycles. Data collection was done by observation technique, questionnaire, and cycle test. Target of this research is student of class VII-F of Negeri 3 Mande Junior High School year teaching 2016-2017 as many as 33 student. The results showed an increase; (1) II began not too nervous, and on the third cycle of the class is conducive; (2) student interest in literary learning increased in cycle I active students only a small part the effectiveness of learning increases in the first cycle of class is still groomed, the cycle, in cycle II half of active students and in cycle III almost all students active; (3) result of student learning in analyzing character and characterization and background of short story increase in cycle I with average value of student equal to 32,32, at cycle II reach 64,73, and at cycle III reach 85,15. It is concluded that learning using discovery learning model can improve the effectiveness of learning, can increase student’s interest in learning, and can improve student’s ability in analyzing character and character and characteristic and background in the short story in class VII Negeri 3 Mande Junior High School.Keywords: short story, and discovery learning model
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Zhang, Pinggai, Baoling Hu, Dengji Li, Quanle Wang, and Yi Zhou. "An Improved Adaptive Human Learning Optimization Algorithm with Reasoning Learning." Scientific Programming 2022 (May 4, 2022): 1–27. http://dx.doi.org/10.1155/2022/2272672.
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Human Learning Optimization (HLO) is a simple yet highly efficient metaheuristic developed based on a simplified human learning model. To further extend the research of HLO, the social reasoning learning operator (SRLO) is introduced. However, the learning ability of social imitating learning operator (SILO) and SRLO is constant in the process of iterations, which is not true in a real human population as humans often adopt dynamic learning strategies to solve the problem. Inspired by this fact, an improved adaptive human learning optimization algorithm with reasoning learning (AHLORL) is proposed to enhance the global search ability, in which an adaptive ps strategy is carefully designed to sufficiently motivate the roles of SILO and SRLO and dynamically adjust the learning efficiency of the algorithm at different stages of iterations. Then, a comprehensive parameter study is performed to explain why the proposed adaptive strategy can exploit the optimization ability of SILO and SRLO effectively. Finally, the AHLORL is applied to solve the CEC 15 benchmark functions as well as multidimensional knapsack problems (MKPs), and its performance is compared with the previous HLO variants as well as the other recent metaheuristics. The experimental results show that the proposed AHLORL outperforms the other algorithms in terms of search accuracy and scalability.
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Zega, Imansudi, Aprianus Zega, and Noveri Amal Jaya Harefa. "Improved Ability to Deliver Negotiated Texts Through Articulation Learning Model." Edumaspul: Jurnal Pendidikan 6, no. 2 (2022): 2076–79. http://dx.doi.org/10.33487/edumaspul.v6i2.4524.
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The purpose of this study was to improve the ability of the class X MIPA-I SMA Negeri 2 Gunungsitoli even semester consisting of 36 people to convey negotiating texts through the Articulation learning model. To achieve this goal, the researchers carried out Classroom Action Research with the implementation procedures were (1) planning, (2) action, (3) observation, (4) reflection. The results of data analysis from the knowledge test in the first cycle reached an average value of 61.33 with the lowest score 52 and the highest 72. The knowledge value in the second cycle reached an average value of 84.33 with the lowest score 72 and the highest score 96. The results of analysis of student activity observation data in the first cycle of the first meeting with an average of 46.79% and the second meeting 52.35% (predicate "Less") and the second cycle of the first meeting with an average value of 65.38% and the second meeting 80, 55% (predicate “Good”). The results of the researcher's observations in the first cycle of the first meeting with an average value of 50% and the second meeting of 68.75%. While the results of the researchers' observations in the second cycle at the first meeting was 81.25% and the second meeting was 93.75%. Based on the explanation above, it can be concluded that: the use of the Articulation learning model can improve the ability to convey negotiating texts for students of class X MIPA-I SMA Negeri 2 Gunungsitoli. The recommended suggestions are the results of this study can be used as a guide in teaching the material to convey negotiating texts.
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Wang, Yuqing. "A Study of Strategies for Cultivating Independent Learning Ability in College English Courses." World Journal of Education and Humanities 7, no. 2 (2025): p1. https://doi.org/10.22158/wjeh.v7n2p1.
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The purpose of this paper is to discuss the cultivation strategies of independent learning ability in university English courses, analyze the current situation of independent learning ability of college students in English, combine with the theory of independent learning, put forward a series of targeted cultivation strategies, and verify the effectiveness of these strategies through empirical research. It is found that by clarifying independent learning goals, stimulating learning interests, adopting flexible teaching methods, and establishing effective assessment and feedback mechanisms, students' independent learning ability can be significantly improved, which in turn improves the efficiency of English learning and comprehensive application ability.
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Zong, Xingxing, Mariusz Lipowski, Taofeng Liu, Meng Qiao, and Qi Bo. "The Sustainable Development of Psychological Education in Students’ Learning Concept in Physical Education based on Machine Learning and the Internet of Things." Sustainability 14, no. 23 (2022): 15947. http://dx.doi.org/10.3390/su142315947.
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Aim: This paper aims to enhance the emphasis of college physical education (P.E.) in the psychological education of P.E. students and provide a reference for the innovation of P.E. teaching methods. Methodology and procedures: On the basis of the Internet of Things (IoT) and a deep-learning algorithm, combined with psychological education, the teaching effect and the influence on learning philosophy are comprehensively evaluated through the construction of teaching evaluation index system for college P.E. students. Results: The theoretical courses of P.E. students in colleges and universities lack the integration of psychological-education concepts. It is found that the new teaching mode not only has a significant effect on improvement of training courses, but also promotes learning enthusiasm and theoretical courses. In the aspect of psychological quality evaluation, emotional-control ability significantly improved, the average score increased from below 60 to above 79, and self-challenge ability and adaptability to adversity also effectively improved. In the evaluation of deep-learning ability, students’ critical thinking ability improved most obviously, and their complex problem-solving ability also improved to some extent. Conclusions: Based on the IoT and machine learning, college P.E. teaching mode can effectively improve students’ psychological quality and ability, effectively improve students’ training and theoretical achievements, and significantly improve their academic achievements. It can also improve students’ self-learning ability. Practical applications: This paper reforms the traditional P.E. teaching mode, effectively demonstrates the hypothesis through practical teaching, designs the teaching evaluation index system of college P.E. students, and improves their learning ability and comprehensive achievements.
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Yuhong Wu, Yuhong Wu, and Xiangdong Hu Yuhong Wu. "AMS Intrusion Detection Method Based on Improved Generalized Regression Neural Network." 網際網路技術學刊 24, no. 2 (2023): 549–63. http://dx.doi.org/10.53106/160792642023032402029.
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<p>The smart grid integrates the computer network with the traditional power system and realizes the intelligentization of the power grid. The Advanced Measurement System (AMS) interconnects the power system with the user, realizes the two-way interaction of data and information between the power supplier and the user, and promotes the development of the smart grid. Therefore, the safe operation of AMS is the key to the development of the smart grid. As smart grids and computer networks become more and more closely connected, the number of cyberattacks on AMS continues to increase. Currently, AMS intrusion detection algorithms based on machine learning are constantly being proposed. Machine learning algorithms have better learning and classification capabilities for small sample data, but when faced with a large amount of high-dimensional data information, the learning ability of machine learning algorithms is reduced, and the generalization ability is reduced. To enhance the AMS intrusion detection algorithm, this paper uses a Generalized Regression Neural Network (GRNN) to identify attack behaviors. GRNN has strong non-linear mapping ability, is suitable for unstable data processing with small data characteristics, has good classification and prediction ability, and has been widely used in power grid systems. Aiming at the existing problems, this paper proposes an upgraded generalized regression neural network AMS intrusion detection method DBN-DOA-GRNN. Based on the feature extraction and dimensionality reduction of the data by DBN, GRNN is used for data with less feature information in learning classification. In addition, to improve the detection effect of the method, the Drosophila Optimization Algorithm (DOA) is used to optimize the parameters of GRNN to reduce the influence of random parameters on the detection results, improve the detection accuracy of this method on small-scale sample data, and thereby improve the detection performance of the AMS intrusion detection algorithm. The proposed method archives an accuracy of 87.61%, 3.10% false alarm rate, and 96.9 precision rate.</p> <p>&nbsp;</p>
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Lu, Jing, Yan Zhang, Danjv Lv, et al. "Improved Broad Learning System for Birdsong Recognition." Applied Sciences 13, no. 19 (2023): 11009. http://dx.doi.org/10.3390/app131911009.
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Birds play a vital and indispensable role in biodiversity and environmental conservation. Protecting bird diversity is crucial for maintaining the balance of nature, promoting ecosystem health, and ensuring sustainable development. The Broad Learning System (BLS) exhibits an excellent ability to extract highly discriminative features from raw inputs and construct complex feature representations by combining feature nodes and enhancement nodes, thereby enabling effective recognition and classification of various birdsongs. However, within the BLS, the selection of feature nodes and enhancement nodes assumes critical significance, yet the model lacks the capability to identify high quality network nodes. To address this issue, this paper proposes a novel method that introduces residual blocks and Mutual Similarity Criterion (MSC) layers into BLS to form an improved BLS (RMSC-BLS), which makes it easier for BLS to automatically select optimal features related to output. Experimental results demonstrate the accuracy of the RMSC-BLS model for the three construction features of MFCC, dMFCC, and dsquence is 78.85%, 79.29%, and 92.37%, respectively, which is 4.08%, 4.50%, and 2.38% higher than that of original BLS model. In addition, compared with other models, our RMSC-BLS model shows superior recognition performance, has higher stability and better generalization ability, and provides an effective solution for birdsong recognition.
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Nurlina, Laily, and Akhmad Fauzan. "Problem-Based Learning Application To Improve Students' Ability Editing." Syntax Literate ; Jurnal Ilmiah Indonesia 6, no. 3 (2021): 1249. http://dx.doi.org/10.36418/syntax-literate.v6i3.2390.
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This research aims to know the implementation PBL based on technology on boosting students’ editing competence in University of Muhammadiyah Purwokerto. The advancement of technology made changing in students’ habit rapidly. They rarely reading books or newspaper instead of cellular. Everyone can write if they read a lot of information. When the students can not write, they got difficulty to edit text. That’s why it was important to use technology on editing subject in semester 5 PBSI-UMP. The population was 79 students in two classes by random sampling class A as experiment class. The method used experiment by mixed quantitative and qualitative data. The instruments are questionnaire and test. The calculation showed sig. Levene’s test for Equality of Variances 0.264>0.05 means hypothesis was accepted. So, PBL based technology effectively improved students’ editing competence.
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Simamora, Rustam E., and Doni Andriyan Zunaiedy. "Improving Students’ Combinatorial Thinking Ability through Numbereds Head Together." Paradikma: Jurnal Pendidikan Matematika 14, no. 1 (2021): 80–87. http://dx.doi.org/10.24114/paradikma.v14i1.27206.
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Combinatorics is a branch of mathematics that is very important, but this topic has not received serious attention in educational research compared to other branches of mathematics such as geometry, calculus and algebra in Indonesia. Meanwhile, in secondary and undergraduate education, existing research reports that students’ combinatorial thinking ability tend to be low. Efforts to improve students’ combinatorial thinking ability in one of the Vocational Schools in Medan, Indonesia, are carried out through the development of the Numbered Heads Together (NHT). NHT is one cooperative learning structure. The result showed that NHT learning improved students’ combinatorial thinking ability.
Dissertations / Theses on the topic "Improved Learning Ability"
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Parsons, Darryl C. "The application of a technique for enhancing recall to improve learning in the science classroom." Thesis, Curtin University, 2007. http://hdl.handle.net/20.500.11937/25.
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There has existed for many years a memory enhancement technique ("memory pegs") that although having dramatic demonstrable success in some individual cases has not been generally applied in education. The emergence of constructivist epistemology has emphasised the notion that learning occurs as a result of connecting new material with previously learnt concepts. There is, therefore, the implication that effective learning requires some previous knowledge upon which to attach new concepts - and thus realisation of the importance of learning with respect to acquiring factual information as a prerequisite to learning new processes and/or skills. This issue has focussed my attention on the need to ensure that the more physiological skills of accessing 'memory', both for learning and recall, are optimised for maximum learning. Further, there are some indications that the physiological skills of memory access (storage and retrieval) may respond favourably to training and 'exercise'. This study was designed to find out whether or not a repeated 'exercise' using a simple memory enhancement technique would lead to a determinable and statistically significant increase in overall performance in a range of cognitive skills (as indicated by science and mathematics examination results), whether learning such a technique would affect a student's attitudes towards science, whether there was a relationship between the amount of time spent practicing the technique and the degree of effect, and whether the memory technique did actually improve the ability to recall lists of objects. Although the analysis of data gathered during the course of this study did support an observation that there was a general increase in achievement in assessments, the improvement in results was not dramatic enough to be significant. No effect on attitudes towards science was evident. The data gathered concerning the amount of practice time proved to be insufficient to determine a trend. Within the limitations of the research, the data showed that the ability to remember a list of objects had been significantly improved, there was no clear evidence of transference of this ability to result in improved examination or assessment results.
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Parsons, Darryl C. "The application of a technique for enhancing recall to improve learning in the science classroom." Curtin University of Technology, Science and Mathematics Education Centre, 2007. http://espace.library.curtin.edu.au:80/R/?func=dbin-jump-full&object_id=17778.
Full textAbstract:
There has existed for many years a memory enhancement technique ("memory pegs") that although having dramatic demonstrable success in some individual cases has not been generally applied in education. The emergence of constructivist epistemology has emphasised the notion that learning occurs as a result of connecting new material with previously learnt concepts. There is, therefore, the implication that effective learning requires some previous knowledge upon which to attach new concepts - and thus realisation of the importance of learning with respect to acquiring factual information as a prerequisite to learning new processes and/or skills. This issue has focussed my attention on the need to ensure that the more physiological skills of accessing 'memory', both for learning and recall, are optimised for maximum learning. Further, there are some indications that the physiological skills of memory access (storage and retrieval) may respond favourably to training and 'exercise'. This study was designed to find out whether or not a repeated 'exercise' using a simple memory enhancement technique would lead to a determinable and statistically significant increase in overall performance in a range of cognitive skills (as indicated by science and mathematics examination results), whether learning such a technique would affect a student's attitudes towards science, whether there was a relationship between the amount of time spent practicing the technique and the degree of effect, and whether the memory technique did actually improve the ability to recall lists of objects.
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Fox, Naoimh Helen Margaret. "An evaluation of a volunteer tutoring programme to improve reading ability in children learning English as an additional language : a randomised controlled trial." Thesis, Queen's University Belfast, 2014. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.676469.
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Many children experience challenges with learning English as an additional language (EAL) which include; understanding the meaning of words decoding words, reading accuracy and fluency. Research suggests that phonological awareness and alphabet knowledge are the two best predictors of success in learning to read, particularly for a beginner reader of English. Evidence suggests that one:to-one tutoring programmes implemented by volunteer students improve the reading ability of struggling readers. This thesis outlines the design and first ReT evaluation of a one-to-one volunteer tutoring programme aimed to improve the reading and concentration abilities of children aged 5-8 years learning EAL. This evidence-based tutoring programme adopted promising approaches for developing reading in both monolingual and EAL children and was implemented by volunteer undergraduate students over 12 weeks. Eighty-two EAL children with reading difficulties were recruited and individually randomised into either an intervention or control group. An outcome evaluation found no strong evidence that the tutoring programme had an impact across the reading ability and concentration outcomes which may indicate that a manualised approach is unsuitable for all EAL children. Exploratory analysis found no significant effects for gender but significant effects for dosage when reading words accurately and fluently. A process evaluation identified some issues with implementation and fidelity of the programme, attrition and a range of abilities within the sample. This study emphasised the benefits of utilising a mixed-method design in order to explore the full effects of a tutoring programme. Future trials should consider recruiting a larger sample of children and screening to identify the lowest achievers. Moreover, longer intervention programmes that compare different types of volunteer tutors and different lengths of interventions may be useful to assess suitable tutors and the ideal length of one-to-one tutoring programmes.
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Chen, Yu-ping, and 陳玉萍. "With personalized digital learning to strengthen junior high school students self-learning ability to improve learning outcomes learners." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/54016450140384121392.
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碩士<br>國立臺南大學<br>數位學習科技學系碩士班<br>101<br>The purpose of this study is to explore the capacity of junior high school students to learn through personally-digitized methods. Students are given exercises based on their academic achievement and individual learning progress. In order to enhance self-learning ability make learning more effective, handouts given are relevant to learners'' abilities and needs.
In this study, a group of nine junior high school students from a private liberal arts cram school in Tainan was chosen. Qualitative interviews were conducted and the data was analyzed.
Conclusions are as follows:
1. Determine teacher-student interaction and mode of instruction through a personal digital learning environment.
Learners gave high evaluations to the effects of teachers’ teaching attitudes, materials and media on students and fair evaluations to the mode of instruction.
2. The effects of personal digital learning on learning autonomy.
Autonomic learning is lower than other self-learning strategies.
3. Determine learners’ satisfaction of the digital learning environment and the learning effects.
The results of this study were unanticipated. While digital learning was positively valued, the learning disposition of learners was lower than traditional learning methods.
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Lin, Yi-Wei, and 林奕維. "Using 6E Model on Robot Education to Improve Elementary School Students’ Learning Motivation, Learning Effectiveness and Hands-on Ability." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/dq3bta.
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碩士<br>國立臺灣師範大學<br>科技應用與人力資源發展學系<br>105<br>Robot education was an interdisciplinary curriculum, integrated knowledge and skills of electrical, electronic, mechanical, computational, control and other fields. 6E (Engage, Explore, Explain, Engineer, Enrich, Evaluate) model is a student-centered teaching model. The purpose of this model is to strengthen the design and scientific inquiry ability. By combining with the hands-on teaching activities which could integrated theory and practice, enhanced student’s abilities for course content that couldn’t apply. Through hands-on teaching activites and 6E model, provided opportunity for students to enrich their knowledge and evaluate the concept.
The purpose of this study was to design a 6E model of the robot course and explore elementary students’ learning motivation, learning effectiveness and hands-on ability. Through hands-on teaching activites and 6E model, “Crab” was chosen as the course subject, by development the school-based local cultural features. The course included the teaching fields of information technology and living technology. Students not only learned to programming but also assembled robot by themselves, achieved self-oriented learning. The participants were the fifth and sixth graders and the effective sample size was 70. A quasi-experimental design was employed with type of teaching model as the independent variables. While the teaching models included 6E model and traditional teaching model. The dependent variables were learning motivation, lerning effectiveness and hands-on ability. The results show that 6E model in robot education will improve learning motivation, learning effectiveness and hands-on ability.
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劉夢如. "Using Strike up game to improve arithmetic operation ability in children with mathematical learning disabilities." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/60963459732169023039.
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碩士<br>國立臺灣師範大學<br>創造力發展碩士班<br>101<br>This study aimed to explore the efficacy of a mathematical game entitled “Strike up” in assisting students with learning disabilities to grasp the principles of the four mathematical arithmetic operations (addition, subtraction, multiplication, and division). A sixth grade student subject with mathematic learning disability was chosen with a peer from the same class in the present study. The students were subjected to teaching interventions. Based on action research, data on student’s (1) learning self-efficacy, and (2) math-learning anxiety were collected and analyzed through means of interviews, questionnaire and researchers ’observatory records. The results revealed students with increased learning self-efficacy tend to have lower math-learning anxiety, in other words, by adjusting game difficulties, the use of “Strike up” can lead to improved learning outcomes in students with learning disabilities, as well as raising their math learning interests. The results from the present study suggests, the use of game is a suitable media in education, by taking into account the learning progress of different students, and make adjustments accordingly, a better teaching learning outcome can be achieved.
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Kuo, Jui, and 郭睿. "Effects of red mold fermented product to improve memory and learning ability on stroke rats." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/24498554003771983496.
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碩士<br>國立臺灣大學<br>生化科技學系<br>102<br>Oxidative stress and apoptosis induced from cerebral stroke-reperfusion are involved in the cerebral stroke and reperfusion processes of impairment. In this research, every male Sprague-Dawley rats accept bilateral common carotid artery occlusion-reperfusion operation to induce memory and learning ability impairment of stroke. We examined the beneficial effects of the extract and secondary metabolite of red mold rice (RMR) in this model. The extract and secondary metabolite of RMR could improve cognitive impairment in behavior tests. We also found that extract and secondary metabolite of RMR reduce the expression of red mold rice glial fibrillary acidic protein (GFAP) which is elevated by stroke. Furthermore, the extract and secondary metabolite of RMR could reduce oxidative stress and apoptosis in rat’s brain. Effects of melatonin, as a contrast agent, was also examined in this research and show no significant improvement. This research shows that by suppressing lipid peroxidation and activating antioxidant enzyme, the extract and secondary metabolite of RMR could reduce oxidative stress and apoptosis and then ameliorates stroke pathology finally. Thus, protects rats against the impairment of memory and learning ability induced by stroke. In addition, these advantageous effects of the extract and secondary metabolite of RMR on stroke are even better than melatonin. This research proves that the extract and secondary metabolite of RMR could protect the brain from stroke and have multifunctional property in stroke treatment.
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Liu, Yen-Yu, and 劉彥余. "Action Research for Sixth-Grade in Elementary School using Experiential Learning Program to Improve Care Ability." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/07659189473053314989.
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碩士<br>國立臺北教育大學<br>生命教育教學碩士學位班<br>103<br>This action research aimed to design an experiential learning program with caring as priority for sixth-grade students, to investigate their care ability, and to explore their further behavior change within this program.
The purposes of this study were summarized below：
1. Put students’ caring as a topic to design an experiential learning program for
sixth-grade students.
2. Evaluate the effects of this program on students’ caring improvement.
3. Interpret teachers’ professional development within this program.
This study focused on the sixth-grade students in the researcher’s class, based on the data of observations, journals, interviewing, student writings, and the analysis of pre-test and post-test from Caring Scales for Elementary School Students by the researcher, to analyze the influence of Experiential Learning Program with Caring as Priority(ELPCP) on sixth-grade students.
The conclusions of this study were summarized below:
1. ELPCP contained five aspects such as Self-acceptance, Tolerance, Empathy, Listening attentively, and Frugal, proceeding in four experiential learning stages.
2. ELPCP inspired students to care for others.
3. ELPCP encouraged students to take more caring actions.
4. The process of engaging in experiential learning program enhanced teachers’ professional knowledge and professional development by analyzing their practice within this program.
Based upon the findings above, some specific recommendations were provided in this study to approach a better experiential learning program for the administrations, teachers, as well as future studies.
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Kuo, Wei-Wen, and 郭維雯. "A Study of Using Board Games to Improve Elementary School Students’ English Reading Ability and Learning Attitudes." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/fr4w7z.
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碩士<br>康寧大學<br>應用外語研究所<br>105<br>English reading ability plays an important role of the success of English learning. As we know from many studies that many elementary school students in Taiwan do not meet an ideal standard on English reading ability and learning attitude. On the other hand, a double-peak phenomenon in English learning achievement has existed for many years. Recently, there are more and more teachers using board games on different subjects and a number of studies have shown that using board games in elementary schools can improve students’ learning achievement. Therefore, this study attempted to explore the effects of using board games in an elementary school English program to improve students’ English reading ability and attitudes towards English learning.
The participants were 29 fifth graders from two elementary schools in Tainan City. The experimental group was taught by the integration of using board games for 14 weeks. Four instruments were employed, consisting of instructional materials, an English reading test, a questionnaire of attitude towards English learning, and a questionnaire of students’ responses to board games. Three major findings of the study were as follows:
1.The use of board games in an elementary school English program improved the students’ English reading ability significantly.
2.The use of board games in an elementary school English program enhanced the students’ attitudes towards English learning significantly.
3.Positive responses were displayed to the use of board games in an elementary school English program.
Finally, some pedagogical implications were offered for the future researches.
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Lai, Yi-Chi, and 賴伊麒. "The Study of Using Concept Map Learning Sheet Improve Sport Critical Thinking Ability on Elementary School Students." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/86091546918998962256.
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碩士<br>國立體育大學<br>體育研究所<br>97<br>The purpose of this study was to investigate the effects of using concept-mapping method on sport critical thinking ability for fifth grade students in PE. This study was quasi-experimental design. Sixty-four sixth grade students from an elementary school in Taipei participated in this study. The experimental (n=32) group participated in twenty-four 40-minutes lessons using concept map learning sheet in PE. The comparison (n=32) group participated in twenty-four 40-minutes lessons using tranditional teaching style in PE. All groups completed the “sport critical thinking test” pre-test and post-test. The results from one-way ANOVA and multivariate ANOVA indicated:
1. There were significant improvements of the experimental group in the factors of global critical thinking on “sport critical thinking test” between the pre-test and post-test.
2. There was no significant improvement of the comparison group in the factors of hypothetic identification, deductive, induction, interpretation, appraisement, and global critical thinking on “sport critical thinking test” between the pre-test and post-test.
3. Students participated in the experimental group scored significantly higher than those in the comparison group in the factors of hypothetic identification, deductive and global critical thinking on “sport critical thinking test” in the post-test.
Based on the above conclusion, the researcher provided some suggestions for the future study and teaching.
Books on the topic "Improved Learning Ability"
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J, Young Carole, and Bartlett Brendan J, eds. Memory improved: Reading and memory enhancement across the life span through strategic text structures. Lawrence Erlbaum Associates, 1989.
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Lussier, Robert N. Publish don't perish: 100 tips that improve your ability to get published. Information Age, 2010.
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Liddle, Tara Losquadro. Why motor skills matter: Improve your child's physical development to enhance learning and self-esteem. Contemporary Books, 2004.
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Sarah, Gee, ed. Business improv: Experiential learning exercises to train employees to handle every situation with success. McGraw-Hill, 2011.
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Zmuda, Allison, and Violet H. Harada. Librarians as Learning Specialists. Greenwood Publishing Group, Inc., 2008. http://dx.doi.org/10.5040/9798400678820.
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Zmuda and Harada explore the increasing number of job descriptions in schools for learning specialists with the accompanying difficulty in effectively leveraging these roles to positively affect student learning. School librarians have been one of these learning specialists for decades. The ranks have expanded in recent years to include many other content area specialists. Grant Wiggins' foreword emphasizes the relevance of learning specialists is grounded in their ability to deliver results on mission-critical measures. This title incorporates quotations, exemplars, and findings from experts in both mainstream and librarian-focused education literature in an inclusive approach making the text accessible and credible for any leader charged with improving the system's ability for improved student achievement. There are an increasing number of job descriptions in schools for learning specialists - certified teachers with specialized areas of expertise whose job it is to improve student performance. While these positions are attractive ideas in theory, there are real challenges in effectively leveraging such roles to positively affect student learning. School librarians have been one of these learning specialists for decades. The ranks have expanded in recent years to include reading specialists, literacy coaches, writing coaches, technology specialists, mathematics specialists, science specialists, and teachers of English Language Learners. References included throughout the book incorporate quotations, exemplars, and findings from experts in both mainstream and librarian-focused education literature. This inclusive approach makes the text accessible and credible for any leader charged with improving the system's ability for improved student achievement. Grant Wiggins' foreword emphasizes the premise that the relevance of learning specialists is grounded in their ability to deliver results on mission-critical measures.
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Kentam, Blessing. All You Need to Know about Piracetam: An Informative Book Guide to Perfect Cognitive Thinking,Improved Learning Ability,Greater Focus and Heightened Sensory. Independently Published, 2019.
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McCall, Jen. Easy Steps for Learning: Improve Your Learning Ability and Daily Functioning Skills. Independently Published, 2020.
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McCall, Jen. Easy Steps for Learning: Improve Your Learning Ability and Daily Functioning Skills. Independently Published, 2020.
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Easy Steps for Learning: Improve Your Learning Ability and Daily Functioning Skills. Independently Published, 2020.
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Easy Steps for Learning: Improve Your Learning Ability and Daily Functioning Skills. Independently Published, 2020.
Find full textBook chapters on the topic "Improved Learning Ability"
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van Mil, Imke Wies, Olga Popovic Larsen, Karina Mose, and Anne Iversen. "Design with Knowledge—Light in Learning Environments." In Teacher Transition into Innovative Learning Environments. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-7497-9_17.
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AbstractA range of artificial lighting characteristics have been found to influence our visual and cognitive capabilities, mood, motivation and/or (social) behaviour—all affecting how we (academically) perform. One such influential characteristic is spatial contrast, or the way light is distributed in space causing a pattern of light and darkness. This study looks at if and how spatial contrast influences pupil behaviour, and specifically their ability to concentrate. We first explored whether variances in pupil noise, physical activity and mood, which have been found to affect concentration, occur when exposed to either a high or a low spatial contrast in their learning environment. Preliminary data from field experiments in a primary school indicates towards decreased noise levels and improved environmental satisfaction when a high spatial contrast condition is present. This implies improved environmental circumstances to concentrate. Further research to confirm this assumption will be undertaken.
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Müller, Claude. "Principles of Cognitive Science." In SpringerBriefs in Education. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-89045-1_2.
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Abstract A deep understanding of cognitive and motivational learning processes is crucial for designing effective digital learning environments. By aligning the structure and processes of learning with how the brain functions, learners’ ability to build knowledge can be significantly enhanced, leading to improved learning outcomes. Equally important are motivational processes. Understanding the factors that drive motivation enables the design of digital experiences that capture and sustain learners’ interests while fostering engagement.
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Castro, Mayara Simões de Oliveira, Rafael Ferreira Mello, Giuseppe Fiorentino, et al. "Understanding Peer Feedback Contributions Using Natural Language Processing." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-42682-7_27.
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AbstractPeer feedback has been widely used in computer-supported collaborative learning (CSCL) setting to improve students’ engagement with massive courses. Although the peer feedback process increases students’ self-regulatory practice, metacognition, and academic achievement, instructors need to go through large amounts of feedback text data which is much more time-consuming. To address this challenge, the present study proposes an automated content analysis approach to identify relevant categories in peer feedback based on traditional and sequence-based classifiers using TF-IDF and content-independent features. We use a data set from an extensive course (N = 231 students) in the setting of engineering higher education. In particular, a total of 2,444 peer feedback messages were analyzed. The CRF classification model based on the TF-IDF features achieved the best performance. The results illustrate that the ability to scale up the automatic analysis of peer feedback provides new opportunities for student-improved learning and improved teacher support in higher education at scale.
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D. Ilie, Marian, Laurenţiu P. Maricuţoiu, Mariana Craşovan, Marius L. Matichescu, and Adrian Marcu. "One-Time Pedagogical Events to Teach Academics Instructional Models and the Effect on Students’ Perceptions of Teaching Effectiveness." In European Higher Education Area 2030: Bridging Realities for Tomorrow’s Higher Education. Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-75140-0_38.
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Abstract Different types of pedagogical programs for academics are implemented worldwide. Out of these types, one-time pedagogical events were presented as having a medium effect size when aiming to develop academics’ pedagogical skills. Also, the academics’ ability to organize the course was strongly associated with students’ achievement. In this study, we investigated whether using instructional models as training content in one-time pedagogical events aimed to improve academics’ ability to organize the course could improve their teaching behavior as perceived by their students. Three instructional models (Gagné’s instructional model, an adapted version of Gagné’s instructional model, and Engelmann’s Direct instructional model) were taught in three one-time events, and we used the academics’ current practice as a baseline for comparisons. Twelve academics involved in one-time pedagogical events used their new skills in 47 classes and were evaluated by 1226 students. As compared with the academics’ current practices, learning instructional models by attending one-time pedagogical events led to improved evaluations from their students. These effects were moderated by class size and students’ academic year.
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Haoyang, Bian, An Jun, and Zhou Yibo. "Transient Stability Assessment of Power Systems Based on Shift Window Self-Attention Swin Transformer." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-4856-6_7.
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Abstract Currently, in the field of transient stability assessment and control represented by Transformer, which is based on deep learning, there is an insufficiency in the ability to extract temporal information from power system transient data, and it is challenging to balance the speed and accuracy of the evaluation. This article proposes a two-stage transient stability assessment method based on Swin Transformer. This method replaces the self-attention module in standard Transformers by using non-overlapping local windows and shifted windows to calculate self-attention, which can more effectively extract temporal information from transient data and improve model evaluation accuracy. In addition, by analyzing the correspondence between attention weights and system instability patterns, the model decisions were explained, which improved the interpretability of the model. The simulation example of the IEEE 10-machine 39-node system shows that the proposed method has better performance evaluation compared to traditional deep learning and machine learning methods, and has lower computational cost compared to the standard Transformer.
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Hofkens, Tara, Robert C. Pianta, and Bridget Hamre. "Teacher-Student Interactions: Theory, Measurement, and Evidence for Universal Properties That Support Students’ Learning Across Countries and Cultures." In Effective Teaching Around the World. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-31678-4_18.
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AbstractAcross the globe, strategies and investments to strengthen teacher effectiveness are increasingly a core component of countries’ efforts to improve educational outcomes for their citizens and, for many, to elevate standards of living. In this chapter, we present evidence demonstrating the role of teacher-student interactions in teachers’ ability to positively influence student development and learning across countries and cultures. We conceptualize teacher-student interactions as proximal processes that drive students’ engagement and learning. Evidence clearly demonstrates that interactions can be assessed through observation and improved through professional development interventions. Drawing on our experience and data available on tens of thousands of classroom observations across different countries and cultures, we present a framework that describes core features of effective teacher-student interactions that appear in common across these highly varied settings and cultural contexts. We review research that evaluates this framework in different contexts to examine the effects of interaction quality on student outcomes across the globe. We discuss the cross-cultural applicability of the framework and outline suggestions for education policy and practice and future directions for research.
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Cruz, Yarens J., Fernando Castaño, Rodolfo E. Haber, et al. "Self-Reconfiguration for Smart Manufacturing Based on Artificial Intelligence: A Review and Case Study." In Artificial Intelligence in Manufacturing. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-46452-2_8.
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AbstractSelf-reconfiguration in manufacturing systems refers to the ability to autonomously execute changes in the production process to deal with variations in demand and production requirements while ensuring a high responsiveness level. Some advantages of these systems are their improved efficiency, flexibility, adaptability, and cost-effectiveness. Different approaches can be used for designing self-reconfigurable manufacturing systems, including computer simulation, data-driven methods, and artificial intelligence-based methods. To assess an artificial intelligence-based solution focused on self-reconfiguration of manufacturing enterprises, a pilot line was selected for implementing an automated machine learning method for finding and setting optimal parametrizations and a fuzzy system-inspired reconfigurator for improving the performance of the pilot line. Additionally, a deep learning segmentation model was integrated into the pilot line as part of a visual inspection module, enabling a more efficient management of the production line workflow. The results obtained demonstrate the potential of self-reconfigurable manufacturing systems to improve the efficiency and effectiveness of production processes.
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Zhang, Yanjing, Jianming Cui, and Ming Liu. "Research on Adversarial Patch Attack Defense Method for Traffic Sign Detection." In Communications in Computer and Information Science. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-8285-9_15.
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AbstractAccurate and stable traffic sign detection is a key technology to achieve L3 driving automation, and its performance has been significantly improved by the development of deep learning technology in recent years. However, the current traffic sign detection has inadequate difficulty resisting anti-attack ability and even does not have basic defense capability. To solve this critical issue, an adversarial patch attack defense model IYOLO-TS is proposed in this paper. The main innovation is to simulate the conditions of traffic signs being partially damaged, obscured or maliciously modified in real world by training the attack patches, and then add the attacked classes in the last layer of the YOLOv2 which are corresponding to the original detection categories, and finally the attack patch obtained from the training is used to complete the adversarial training of the detection model. The attack patch is obtained by first using RP2 algorithm to attack the detection model and then training on the blank patch. In order to verify the defense effective of the proposed IYOLO-TS model, we constructed a patch dataset LISA-Mask containing 50 different mask generation patches of 33000 sheets, and then training dataset by combining LISA and LISA-Mask datasets. The experiment results show that the mAP of the proposed IYOLO-TS is up to 98.12%. Compared with YOLOv2, it improved the defense ability against patch attacks and has the real-time detection ability. It can be considered that the proposed method has strong practicality and achieves a tradeoff between design complexity and efficiency.
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Sarkar, Nilanjana, and Sumit Goel. "Artificial Intelligence and Machine Learning in Healthcare." In Biomedical Research Developments for Improved Healthcare. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-1922-2.ch002.
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Artificial intelligence (AI) systems are systems designed by humans that, given a complex goal, act in the physical or digital dimension by perceiving their environment through data acquisition, interpreting the collected structured or unstructured data, reasoning on the knowledge, or processing the information, derived from this data and deciding the best action(s) to take to achieve the given goal. It is precisely AI's ability to carry out speedy processing and analysis of datasets that is one of its key strengths. The recent renaissance in AI largely has been driven by the successful application of deep learning — which involves training an artificial neural network with many layers (that is, a ‘deep' neural network) on huge datasets. The rise and dissemination of AI in clinical medicine will refine our diagnostic accuracy and rule-out capabilities. In this Book Chapter, we focus on the AI applications that could augment or change clinical practice, identify the impact arising from the development of AI diagnostic systems and suggest future research directions.
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Liu, Xiaoxu, and Wei Qi Yan. "Vehicle Detection and Distance Estimation Using Improved YOLOv7 Model." In Deep Learning, Reinforcement Learning, and the Rise of Intelligent Systems. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-1738-9.ch009.
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In this book chapter, the authors propose a low-cost distance estimation approach to develop more accurate predictions from a 3D perspective for vehicle detection and ranging by using inexpensive monocular cameras. This distance estimation model integrates YOLOv7 model with an attention module (CBAM) and transformer, as well as extend the prediction vector as the fundamental architecture to improved high-level semantic understanding and enhanced feature extraction ability. This integration significantly improved detection and ranging performance, offering a more suitable and cost-effective solution for distance estimation.
Conference papers on the topic "Improved Learning Ability"
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Chen, Hang, Zhe Zhang, Ziwei Chen, and Haowen Ge. "Multi-head Discretization improves Learning Ability in Vector Quantization." In 2024 4th International Conference on Electronic Information Engineering and Computer Communication (EIECC). IEEE, 2024. https://doi.org/10.1109/eiecc64539.2024.10929116.
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Chandra, Mei Rianto, Amelia Luciana, Putri Mustika Susilo, and Cindy. "The Use of Video-Based Learning to Improve Chinese Grammar Ability." In 2024 9th International Conference on Business and Industrial Research (ICBIR). IEEE, 2024. https://doi.org/10.1109/icbir61386.2024.10875052.
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Imani, Maryam, and Hassan Ghassemian. "A manifold learning based feature extraction method with improved discriminative ability." In 2015 9th Iranian Conference on Machine Vision and Image Processing (MVIP). IEEE, 2015. http://dx.doi.org/10.1109/iranianmvip.2015.7397497.
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Baralić, Jelena, and Dragana Bjekić. "Technical Drawing in Engineering Education: Tool for Engineers’ Communication, Design and Ability Development." In Proceedings TIЕ 2024. University of Kragujevac, Faculty of Technical Sciences, Čačak, 2024. http://dx.doi.org/10.46793/tie24.301b.
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Technical drawing is a core of many engineering and design courses. The goals of this research are to assess whether engineering students who studied technical drawing at the university, using traditional tools for drawing and computer tools, improve their intellectual abilities, especially the effectiveness of perceptive and cognitive processors. The pilot research consists of two studies: (1) a correlation study of students’ abilities and pre-university experience with technical drawing courses; and (2) a quasi-experimental study of the effects of technical drawing courses on students’ abilities. The sample consists of 46 first-year undergraduate students in engineering departments (study 1) and 12 students selected from the first group after completing the course and passing an exam. The correlations between students’ ability to visualize spatial relationships and achievement in presenting a three-dimensional model in three projections are confirmed. The second study confirmed that the students’ perceptual processing abilities improved during the technical drawing course. In conclusion, the importance of learning technical drawing for some abilities development is emphasized, some research topics are opened, and some educational implications are suggested.
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SHishelova, A. YU, and K. S. Smirnov. "The role of social isolation in critical periods of early postnatal ontogenesis in the formation of epileptic activity of the brain and learning ability in adulthood." In Global science. Development and novelty. L-Journal, 2020. http://dx.doi.org/10.18411/gsdn-25-12-2020-03.
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The effect of complete social isolation in the critical periods of early postnatal ontogenesis on the learning and epileptic activity in Wag/Rij rats with a genetic predisposition to the absence epilepsy was studied. The different learning tasks with positive reinforcement (the Intellicage test) and punishment (the two-way active avoidance in the “shuttle box”) were used. It was found that a 3-hour daily social isolation of rat pups from the mother and siblings in early postnatal ontogenesis changes the learning ability and its connection with epileptic activity in adulthood depending on the period of isolation. The isolation from 2th to 8th postnatal day led to a decrease of epileptic activity and improved the learning with positive reinforcement in adult rats. The isolation from 9th to 15th postnatal day improved the learning a conditioned avoidance response with punishment and induced the interrelations between epileptic activity and the active avoidance learning. The isolation from 16th to 22th postnatal – 14 – Global science. Development and novelty day led to an improvement of positive reward-related learning and formation of the significant interactions between epileptic activity and the learning with positive and negative reinforcement.
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Wong, Timothy T. K., and Yee Wan Kwan. "A STUDY ON USING GAME-BASED METHOD TO IMPROVE LEARNING EFFICIENCY OF JUNIOR SECONDARY SCHOOL STUDENTS." In International Conference on Education and New Developments. inScience Press, 2021. http://dx.doi.org/10.36315/2021end017.
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Game-based approaches aim at improving participants’ engagement and satisfaction, they might have great advantages in solving the issues of students demotivated and uninvolved in learning activities. However, there are few studies on using games elements in education and examining to what extent game-based educational approaches enhance learning. To bridge this research gap, the objective of this study is to examine whether game-based method improves students’ academic performance in the school subject Life and Society. A total of four classes of Grade Seven students and two teachers participated in the study in Hong Kong. Three classes (n= 75) were assigned to the experimental groups and one class (n=30) were assigned to the control group. The experimental group participated in class sessions where they learned the timeline, major events, and factors affecting economic development of Hong Kong by a group-based card game, while the control group were taught by lecture-based method. Using a pre- & post-tests design, data were collected by a tailor-made survey including 9 fact-based questions to assess the learning outcomes. The contents of the survey were judged two experienced teachers and one panel head. Paired samples t-tests and two-way ANOVA were used to compare the possible changes, group differences and interaction effects. Results showed that both the experimental group and control group significantly increased their academic performance in the post-tests, indeed the average post-test scores of experimental groups were higher than that of the control group. Only one among three classes in the experimental group showed a significant increase in post-test scores, indicating a possibility of teacher difference. Boys in the experimental groups significantly improved in the post-test while girls did not differ significantly from pre-test scores. Both students with low and middle ability levels improved significantly in their post-test scores, while students with high ability level did not reach statistical significance. The interaction effect between gender and student ability level was statistically significant, indicating that the influence of student ability level on pre-test scores depended on their gender. Finally recommendations, implications, and limitations to the study are discussed.
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Li, Xin, Ning Ma, Qiqi Shi, and Xiechong Gu. "Directional Wave Spectrum Estimation Using Ship Motion Data by Improved CGAN With Physics Guided." In ASME 2024 43rd International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2024. http://dx.doi.org/10.1115/omae2024-124857.
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Abstract The measurement of directional wave spectrum in the ocean is a crucial but challenging task. By regarding the ship as a substantial wave buoy, it is reasonable and convenient to measure the directional wave spectrum based on the ship’s motion without additional sensor cost. Given the intricacies of characterizing the relationships between wave and ship motions with precision, this study employs the Improved Conditional Generative Adversarial Net (Improved CGAN) for stable and efficient model learning to achieve the mapping of ship motions to wave characteristics within the frequency domain. A framework is introduced to enhance the model’s performance and ensure a meaningful physical interpretation by training neural network architectures with physics-based knowledge, considering factors such as energy consistency and non-negativity of wave spectra for learning physically consistent solutions. Study compares the performance of Improved CGAN without physics guided, Improved CGAN with physics guided, and direct mapping of machine learning model on the ITTC spectrum for learning and estimation. The generalization ability of the models is investigated through the zero-sample estimation of the JONSWAP-type wave spectra. Results show that by achieving consistency in energy, Improved CGAN with physics guided has good performance in terms of estimation error, stability. A single physics indicator guides the model better than two, which may prevent conflicts. On single peak spectrum similar to the ITTC wave spectrum, Improved CGAN with physics guided exhibits great generalization ability. On the spectrum with significant differences in energy shapes, it can also maintain energy consistency, enhancing stability in HS estimation and more precisely identifying mean wave direction.
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Kirkpatrick, Kenton, John Valasek, and Dimitris Lagoudas. "Active Length Control of Shape Memory Alloy Wires Via Reinforcement Learning." In ASME 2009 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. ASMEDC, 2009. http://dx.doi.org/10.1115/smasis2009-1430.
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The ability to actively control the shape of aerospace structures has initiated research regarding the use of Shape Memory Alloy actuators. These actuators can be used for morphing or shape change by controlling their temperature, which is effectively done by applying a voltage difference across their length. The ability to characterize this temperature-strain relationship using Reinforcement Learning has been previously accomplished, but in order to control Shape Memory Alloy wires it is more beneficial to learn the voltage-position relationship. Numerical simulation using Reinforcement Learning has been used for determining the temperature-strain relationship for characterizing the major and minor hysteresis loops, and determining a limited control policy relating applied temperature to desired strain. Since Reinforcement Learning creates a non-parametric control policy, and there is not currently a general parametric model for this control policy, determining the voltage-position relationship for a Shape Memory Alloy is done separately. This paper extends earlier numerical simulation results and experimental results in temperature-strain space by applying a similar Reinforcement Learning algorithm to voltage-position space using an experimental hardware apparatus. Results presented in the paper show the ability to converge on a near-optimal control policy for Shape Memory Alloy length control by means of an improved Reinforcement Learning algorithm. These results demonstrate the power of Reinforcement Learning as a method of constructing a policy capable of controlling Shape Memory Alloy wire length.
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Amarasena, K. A., A. H. M. G. R. Janaki Aberathna, and Virajith Gamage. "Improving the Ability in Completing Written Exercises Properly: An Action Research Study." In SLIIT INTERNATIONAL CONFERENCE ON ADVANCEMENTS IN SCIENCES AND HUMANITIES. Faculty of Humanities & Sciences, SLIIT, 2024. https://doi.org/10.54389/ejqh6674.
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The subject of Information Technology has a prominent place in the current school curriculum due to its involvement in expanding the capacity, cognitive and psychomotor skills of an individual. The subject consists of both theoretical and practical areas. The ability to write proper answers for a given written exercise is a fundamental skill a student must have when studying Information Technology. While conducting the teaching learning process, the main problem encountered was the backwardness of student X in providing proper short answers to a given written exercise. Through data collection methods such as observations, interviews and documentary study, the nature of the problem was clearly investigated. The current study was started with the intention of eliminating backwardness in providing proper short answers to a given written exercise. The literature review was done to orient the action research towards the correct direction by getting an insight into implementing the intervention plan. The preliminary functional plan was executed with three steps and the objective was to motivate the student to complete the given written exercise accurately. The second intervention plan was implemented and completed with three steps. The objective of the second intervention was to build up the ability to construct a written answer logically and creatively. Finally, the third intervention step was executed with three steps to improve the ability in completing the written exercises properly. The qualitative analytical comparison was done among pre and post written answers of student X. There was a vivid positive improvement in the post written answer. Marks obtained for the structured essay part in the Information Technology subject had improved by eleven marks after conducting the action research. The current study thus demonstrates that there is a direct proportional relationship between the variables of student performance and the student’s capability in completing the given written tasks. Keywords: Cognitive; Psychomotor; Action Research; Intervention Plan; Structured Essay
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Liu, Yang, and Gangfeng Tan. "A Semantic Segmentation Algorithm for Intelligent Sweeper Vehicle Garbage Recognition Based on Improved U-net." In WCX SAE World Congress Experience. SAE International, 2023. http://dx.doi.org/10.4271/2023-01-0745.
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<div class="section abstract"><div class="htmlview paragraph">Intelligent sweeper vehicle is gradually applied to human life, in which the accuracy of garbage identification and classification can improve cleaning efficiency and save labor cost. Although Deep Learning has made significant progress in computer vision and the application of semantic network segmentation can improve waste identification rate and classification accuracy. Due to the loss of some spatial information during the convolution process, coupled with the lack of specific datasets for garbage identification, the training of the network and the improvement of recognition and classification accuracy are affected. Based on the Unet algorithm, in this paper we adjust the number of input and output channels in the convolutional layer to improve the speed during the feature extraction part. In addition, manually generated datasets are used to greatly improve the robustness of the model. Next, we select the Softmax as the activation function to adjust the classification probability of each category. The cross-entropy function, selected as the loss function, is used to evaluate the fitting ability of the model. We adjust the stride and the size of the feature map in the convolution process to reduce the amount of calculation. The k-fold cross-validation makes full use of the dataset to better optimize the model. Compared with Unet algorithm, the data shows that the improved algorithm can extract more effective features for classification prediction, and simplify the network for parameter selection and optimization, and improve the training speed by 10%. The recognition accuracy is increased by 18% while ensuring the speed, and it has higher MPA and MIoU. This algorithm has good generalization ability to deal with different test sets, which improves the efficiency of the intelligent sweeper vehicle and provides a reference for the design of the semantic segmentation model of garbage classification at the same time.</div></div>
Reports on the topic "Improved Learning Ability"
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Freed, Danielle. K4D Strengthens Partners’ Ability to Deliver Improved Results for Inclusion in Crises. Institute of Development Studies, 2022. http://dx.doi.org/10.19088/k4d.2022.161.
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Achieving Sustainable Development Goals requires the inclusion of the most vulnerable people affected by intersecting inequalities. Inclusion is an approach and objective that serves to counter structural discrimination and enable affected people and communities to withstand the causes and impacts of crises. Recognising the need to address this issue, the UK government has sought to implement a range of commitments relating to inclusion in its programme and policy responses to crises. The K4D Inclusion in Crises Learning Journey has played a key role in supporting reflection on the opportunities and challenges for operationalising these commitments and equipping participants with the tools needed to make sure programmes can deliver high impact results, improving the lives and wellbeing of people who are marginalised and crisis-affected.
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Rau, Jane. PR-580-163710-R01 Determining the Impact of Human Factors in the Performance of In-Service NDE. Pipeline Research Council International, Inc. (PRCI), 2020. http://dx.doi.org/10.55274/r0011651.
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The term "Human Factors" has become a buzz phrase in the pipeline industry, and rightfully so. Root cause analyses of many failures point to human error as the cause. However, in the pipeline industry, "Human Factors" generally refers to ergonomics, fatigue, stress, environment, and communication. JTrain, Inc.'s research looks at Human Factors from an educational viewpoint; how is transfer of knowledge from Subject Matter Experts (SMEs) and Level IIIs certified technicians to Non Destructive Examination (NDE) technicians presently performed, and how can it be improved to ensure actual learning occurs and not just rote memorization to pass a test. Being a knowledgeable SME or Level III does not guarantee an ability to teach or an understanding of how learning is best achieved. This report discusses how research-based learning strategies and best practices in teaching and learning can improve transfer of knowledge and competence for NDE technicians.
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Sharpe, Pamela, Susan Wright, Sirene May Yin Lim, et al. Early intervention of Malay preschool teachers in promoting children’s mathematics learning. National Institute of Education, Nanyang Technological University, Singapore, 2020. https://doi.org/10.32658/10497/22766.
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The study focused on improving kindergarten teachers’ ability to nurture early numeracy development and learning in K2 children. An intervention involving the experimental group included teachers who had already attended in-service training, as part of the initial pilot project, to assist them to understand pedagogical principles, practices and strategies to assist children’s development of numeracy skills, problem solving and reasoning. Further teacher guidelines, detailed lesson plans and mentorship were also provided on how to implement this in the classroom. The research adopted a pre-test and post-test mixed-methods design involving an experimental group and a control group, comprising preschool children from five classes (N=221). Intact classes were matched to treatment and control conditions on the basis of Mendaki selection and centre choice of participation. Findings from the Math reasoning subtest of the (WIAT) Wechsler Individual Achievement (Test 2) and the (NCT) Numeracy Concept Test – a non-standardised test, showed that even though that at pre-test, the experimental groups were better on the WIAT and that they were similar on the NCT, both groups improved on the WIAT at post-test but the experimental groups maintained their superior performance on the post NCT. Improvements within experimental groups were also noted.
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Bailey Bond, Robert, Pu Ren, James Fong, Hao Sun, and Jerome F. Hajjar. Physics-informed Machine Learning Framework for Seismic Fragility Analysis of Steel Structures. Northeastern University, 2024. http://dx.doi.org/10.17760/d20680141.
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The seismic assessment of structures is a critical step to increase community resilience under earthquake hazards. This research aims to develop a Physics-reinforced Machine Learning (PrML) paradigm for metamodeling of nonlinear structures under seismic hazards using artificial intelligence. Structural metamodeling, a reduced-fidelity surrogate model to a more complex structural model, enables more efficient performance-based design and analysis, optimizing structural designs and ease the computational effort for reliability fragility analysis, leading to globally efficient designs while maintaining required levels of accuracy. The growing availability of high-performance computing has improved this analysis by providing the ability to evaluate higher order numerical models. However, more complex models of the seismic response of various civil structures demand increasing amounts of computing power. In addition, computational cost greatly increases with numerous iterations to account for optimization and stochastic loading (e.g., Monte Carlo simulations or Incremental Dynamic Analysis). To address the large computational burden, simpler models are desired for seismic assessment with fragility analysis. Physics reinforced Machine Learning integrates physics knowledge (e.g., scientific principles, laws of physics) into the traditional machine learning architectures, offering physically bounded, interpretable models that require less data than traditional methods. This research introduces a PrML framework to develop fragility curves using the combination of neural networks of domain knowledge. The first aim involves clustering and selecting ground motions for nonlinear response analysis of archetype buildings, ensuring that selected ground motions will include as few ground motions as possible while still expressing all the key representative events the structure will probabilistically experience in its lifetime. The second aim constructs structural PrML metamodels to capture the nonlinear behavior of these buildings utilizing the nonlinear Equation of Motion (EOM). Embedding physical principles, like the general form of the EOM, into the learning process will inform the system to stay within known physical bounds, resulting in interpretable results, robust inferencing, and the capability of dealing with incomplete and scarce data. The third and final aim applies the metamodels to probabilistic seismic response prediction, fragility analysis, and seismic performance factor development. The efficiency and accuracy of this approach are evaluated against existing physics-based fragility analysis methods.
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Bano, Masooda. International Push for SBMCs and the Problem of Isomorphic Mimicry: Evidence from Nigeria. Research on Improving Systems of Education (RISE), 2022. http://dx.doi.org/10.35489/bsg-rise-wp_2022/102.
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Establishing School-Based Management Committees (SBMCs) is one of the most widely adopted and widely studied interventions aimed at addressing the learning crisis faced in many developing countries: giving parents and communities a certain degree of control over aspects of school management is assumed to increase school accountability and contribute to improvements in learning. Examining the case of Nigeria, which in 2005 adopted a national policy to establish SBMCs in state schools, this paper reviews the evidence available on SBMCs’ ability to mobilise communities, and the potential for this increased community participation to translate into improved learning. The paper shows that while local community participation can help improve school performance, the donor and state supported SBMCs struggle to stay active and have positive impact on school performance. Yet for ministries of education in many developing countries establishing SBMCs remains a priority intervention among the many initiatives aimed at improving education quality. The paper thus asks what makes the establishment of SBMCs a priority intervention for the Nigerian government. By presenting an analysis of the SBMC-related policy documents in Nigeria, the paper demonstrates that an intervention aimed at involving local communities and developing bottom-up approaches to identifying and designing education policies is itself entirely a product of top-down policy making, envisioned, developed, and funded almost entirely by the international development community. The entire process is reflective of isomorphic mimicry—a process whereby organisations attempt to mimic good behaviour to gain legitimacy, instead of fixing real challenges. Adopting the policy to establish SBMCs, which is heavily promoted by the international development community and does not require actual reform of the underlying political-economy challenges hindering investment in education, enables education ministries to mimic commitment to education reforms and attain the endorsement of the international community without addressing the real challenges. Like all cases of isomorphic mimicry, such policy adoption and implementation has costs: national ministries, as well as state- and district-level education authorities, end up devoting time, resources, and energy to planning, designing, and implementing an intervention for which neither the need nor the evidence of success is established. Additionally, such top-down measures prevent state agencies from identifying local opportunities for delivering the same goals more effectively and perhaps at a lower cost. The paper illustrates this with the case of the state of Kano: there is a rich indigenous culture of supporting community schools, yet, rather than learning why local communities support certain kinds of school but not state schools, and trying to replicate the lessons in state schools, the SBMC model introduced is designed by development agencies at the national level and is administratively complicated and resource-intensive. The opportunity for local learning has not been realised; instead, both the agenda and the implementation framework have been entirely shaped by international aid agencies. The paper thus demonstrates how apparently positive policy interventions resulting from pressure exerted by the international community could be having unintended consequences, given the national-level political-economy dynamics.
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Futch Ehrlich, Valerie A. Leadership Development as a Lever for Social Change: An Evaluation Framework and Impact Storytelling Approach. Center for Creative Leadeship, 2022. http://dx.doi.org/10.35613/ccl.2022.2050.
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Founded with the mission to “advance the understanding, practice, and development of leadership for the benefit of society worldwide”, the Center for Creative Leadership (CCL) has served both the social and commercial sectors for over 50 years. Many of our programs across corporate, government, philanthropic, and social (e.g., NGOS, nonprofits, K12 institutions, higher education institutions, and population health organizations) sectors have the goal of improving outcomes for individual leaders and groups, and extending those outcomes to create impact at the organizational, community, or societal level. Our clients often aspire for large and transformational impact. They are interested in telling stories of impact – both immediate and sustained – that trace the power of their investment and its ability to result in improved outcomes for individuals, organizations, and communities. However, it’s often difficult or impossible to represent such impact without intentional planning and measurement. Using the idea of levers as a metaphor, we present a pathway for how leadership development across contexts can lead to larger scale impact, with examples from some of our current efforts to demonstrate this impact. We also provide a typology of stories that can be useful for communicating complex impact pathways. The typology provides metaphors for understanding the variety of layers of impact that contribute to societal change. Our work in support of this framework is continuously evolving, as we are learning, improving our measures, and identifying opportunities for increased evaluation efforts.
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Busso, Matías, and Samuel Berlinski. Challenges in Educational Reform: An Experiment on Active Learning in Mathematics. Inter-American Development Bank, 2015. http://dx.doi.org/10.18235/0011680.
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This paper reports the results of an experiment with secondary school students designed to improve their ability to reason, argument, and communicate using mathematics. These goals are at the core of many educational reforms. A structured pedagogical intervention was created that fostered a more active role of students in the classroom. The intervention was implemented with high fidelity and was internally valid. Students in the control group learned significantly more than those who received treatment. A framework to interpret this result is provided in which learning is the result of student-teacher interaction. The quality of such interaction deteriorated during the intervention.
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Carneiro, Pedro, Yyannu Cruz-Aguayo, Francesca Salvati, and Norbert Schady. The Effect of Classroom Rank on Learning throughout Elementary School: Experimental Evidence from Ecuador. Inter-American Development Bank, 2023. http://dx.doi.org/10.18235/0005149.
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We study the impact on learning of a child's rank in the classroom using a unique experiment from Ecuador. Within each school, students were randomly assigned to classrooms in every grade between kindergarten and 6th grade. Therefore, two students with the same ability can have different classroom ranks because of the (random) peer composition of their classroom. To isolate the impact of rank from other peer influences we include classroom fixed effects. Children with higher classroom rank at the beginning of the academic year have significantly higher math test scores at the end of that grade. Classroom rank in math, not language, drives our results. The impact of classroom math rank is larger for younger children, and grows substantially over time. Exogenous changes in classroom rank in math also improve executive function, child happiness, and teacher perceptions of student ability.
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Koduru, Smitha. PR-244-173856-WEB ILI Crack Tool Reliability and Performance Evaluation. Pipeline Research Council International, Inc. (PRCI), 2019. http://dx.doi.org/10.55274/r0011617.
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Wednesday, October 2, 2019 11:00 a.m. ET PRESENTER: Smitha Koduru, PhD, C-FER Technologies HOST: Steven Bott, Enbridge MODERATOR: John Lynk, PRCI CLICK THE DOWNLOAD/BUY BUTTON TO ACCESS TO THE WEBINAR REGISTRATION LINK Join the PRCI Integrity and Inspection Technical Committee as they present an expansion of previous PRCI research related to ILI performance data. The new research has been expanded to include experience with UT and EMAT in-line inspection data aligned with in-the-ditch NDE results. Also included are improved statistical characterization of crack inline inspection performance; increasing the reliable application of crack ILI to manage cracking and SCC recommendations for in-the-ditch NDE; and information collected to maximize the ability of operators to measure crack ILI performance. Learning outcomes/benefits of attending this webinar: - Learn about the data sets featured in the industry-wide database for crack features identified with in-line inspection tools (ILI) and/or field non-destructive examination (NDE). - Know the influence of pipe attributes, such as seam weld type, and NDE performance on the crack detection and sizing performance assessment of ILI tools - Understand the methods required to use data from multiple ILI runs and field measurements for increased confidence in crack detection and sizing - Recognize the value of collecting full crack profile data for integrity management Who should attend? - Integrity personnel, analyst, engineers and management - Inline inspection vendor personnel Recommended pre-reading: PR-244-173856-R01 In-line Inspection Crack Tool Reliability and Performance Evaluation Not able to attend? Register anyway to automatically receive a link to the webinar recording to view on-demand at your convenience. Attendance is limited to the first 500 registrants to join the webinar. All remaining registrants will receive a link to view the webinar recording. After registering, you will receive a confirmation email containing information about joining the webinar. Please click here to view more webinars that may be of interest to you!
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Heckman, Stuart. Understanding insurance decisions: A review of risk management decision making, risk literacy, and racial/ethnic differences. Center for Insurance Policy and Research, 2024. http://dx.doi.org/10.52227/26712.2024.
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The racial/ethnic wealth gap is a stunning feature of U.S. household finances. Although the causes of the gap are complex, it is important that researchers investigate disparities between racial/ethnic groups in household financial management areas. We posit that first understanding insurance decisions as a critical component of overall household financial management is an important avenue for further understanding factors that may perpetuate or reduce the racial wealth gap. Moreover, risk management, including the purchase and use of insurance products, is a key yet challenging area for household financial management. Therefore, this literature review focuses on research relevant to three main questions: 1) How do consumers make risk management decisions? 2) What key skills are required to make risk management decisions (with a focus on literacy and numeracy skills)? 3) Do these skills vary between racial/ethnic groups? Regarding the first question, we find that consumers are prone to errors when making decisions involving risk, but research shows that decisions can be improved. Skilled Decision Theory (SDT) highlights that cognitive ability plays less of a central role in decision-making and that decision-making is more of an acquired skill. Consequently, learning comprehension and confidence play a crucial role in the decision-making process. In terms of the second question and the skills needed to make appropriate risk management decisions, the literature suggests that insurance literacy, not necessarily financial literacy, as well as numeracy skills are likely to be critical prerequisites to good insurance choices. In particular, the importance of statistical numeracy in decision-making cannot be overstated. Finally for our third question, our review indicates that there is a relatively limited number of available studies focusing on racial/ethnic differences in risk management decisions and skills. While some studies find differences between racial/ethnic groups in various measures of financial literacy, the findings are overall mixed and, therefore, inconclusive. Researchers should verify if there are, in fact, differences or if the differences are due to other factors that vary by racial/ethnic category.