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Artykuły w czasopismach na temat „Structured Learning Approach modification”

Autor: Grafiati

Data publikacji: 3 czerwca 2025

Data aktualizacji: 31 lipca 2025

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Er-Radi, Hicham, Souhaib Aammou, and Aymane Jdidou. "PERSONALIZED LEARNING THROUGH ADAPTIVE CONTENT MODIFICATION." Conhecimento & Diversidade 15, no. 39 (2023): 263–75. http://dx.doi.org/10.18316/rcd.v15i39.11153.

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This research aims to explore the effectiveness of adaptive learning systems in dynamically modifying content to align with the abilities and knowledge levels of individual learners. By employing data analytics and machine learning algorithms, the study examines how content difficulty adjustment, pacing, content selection, and adaptive feedback contribute to a personalized learning experience. This study embarked on an exploration of the efficacy and implications of adaptive learning systems across diverse educational settings: K-12 classrooms, higher educational institutions, and corporate tr

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Sharma, Rupa, Subhash Mohan Yadav, Shree Mohan Joshi, and Pratap Bhan Kaushik. "Students perception of teaching-learning methods in Community Medicine at a Government Medical College in Rajasthan." Indian Journal of Community Health 29, no. 2 (2017): 145–50. http://dx.doi.org/10.47203/ijch.2017.v29i02.004.

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Background: Knowledge of Community Medicine plays a pivot role in effective delivery of health care services. Effective Teaching-Learning (T-L) of a class of 150-200 students is a challenge. Research is needed to identify methods suitable to the needs of the students. Students’ perspective is an important diagnostic feedback tool in this context. Aims & Objectives: To know the students’ preferences and perceptions regarding current T-L methods and their felt need for modification in the T-L approach. Material & Methods: Responses were collected from students pursuing internship regardi

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Thilagarasi Subramaniam and Mohd Norazmi Nordin. "THE LEARNING THEORY OF B.F. SKINNER AND TEACHING STRATEGIES FOR ADHD STUDENTS." Special Education [SE] 3, no. 1 (2025): e0039. https://doi.org/10.59055/se.v3i1.39.

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Attention Deficit Hyperactivity Disorder (ADHD) presents significant challenges in educational settings, particularly in managing attention, impulsivity, and hyperactivity in students. This article explores the application of B.F. Skinner's operant conditioning theory to develop effective teaching strategies for ADHD students. The goal is to review and analyse how behavioural reinforcement methods can be used to help ADHD students focus, complete tasks, and reduce disruptive behaviours. The methodology includes reviewing scholarly articles and research that apply Skinner's theory to special ne

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Mohamad Firdaus Nasori, Desy Safitri, and Sujarwo Sujarwo. "Modifikasi Alokasi Waktu Untuk Anak Berkebutuhan Khusus (ABK) Dalam Kurikulum Merdeka Di SMPN 40 Jakarta." SOSIAL : Jurnal Ilmiah Pendidikan IPS 2, no. 2 (2024): 73–78. https://doi.org/10.62383/sosial.v2i2.142.

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Learning organisation strategies or Learning Strategies refer to the ways used by educators or instructors to organise and structure the learning process to be effective and efficient. Where there are 3 indicators, namely modification of time allocation, modification of content or material and modification of the teaching-learning process. Sekolah Menengah Pertama Negeri 40 Jakarta opens a pathway for students with special needs or often called people with disabilities. This study aims to describe the modification of time allocation for children with special needs (ABK) in the Merdeka Curricul

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Aloini, Davide, Riccardo Dulmin, Giulia Farina, Valeria Mininno, and Luisa Pellegrini. "Structured selection of partners in open innovation: an IF-TOPSIS based approach." Measuring Business Excellence 20, no. 1 (2016): 53–66. http://dx.doi.org/10.1108/mbe-12-2015-0058.

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Purpose Open innovation (OI) literature suggests that firms can improve their innovation performance by learning from a large set of actors in the innovation process. However, the extant literature has overlooked the “who” question: which partners should be included in the different phases of the innovation funnel? How should they be selected? This paper aims to offer, while focusing in the early phases of the innovation process, a list of possible criteria for partner evaluation and suggests a structured methodology for their selection. Design/methodology/approach An empirical test of both th

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Rehman, Zia Ur, Wajeeha Aurangzeb, and Rubana Saeed. "Reflections on adopting SAMR model for technology integration at University level: A phenomenological study from Pakistan." Journal of Social Sciences Advancement 3, no. 3 (2022): 117–29. http://dx.doi.org/10.52223/jssa22-030303-39.

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This study aimed to explore the technology integration competencies of university teachers with reference to the Substitution, Augmentation, Modification and Redefinition (SAMR) model. The objectives of the study were (i) to explore the motivation level, (ii) to investigate the inspiration level, and (iii) to diagnose the retention level of Pakistani teachers in adopting the SAMR model for effective blended learning practices. The research context included a random selection of 340 teachers from four faculties of two public sector universities in Punjab, Pakistan. The mixed method approach was

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M. Aboregela, Adel, Zenat Khired, Mushabab Alghamdi, et al. "BLENDED LEARNING APPROACH PROMOTES THE APPLICATIONIN ORTHOPEDICS, A MIXED PROSPECTIVE STUDY." International Journal of Advanced Research 11, no. 06 (2023): 237–47. http://dx.doi.org/10.21474/ijar01/17069.

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Objectives: Blended learning is a combination of online and face-to-face teaching. The current study aimed to assess the impact of a blended approach on perceptionsand achievements in orthopedics. Methods: The online component of the developed blended course comprises lectures, discussion forums, demonstrative videos, scenarios, discussion panels, and illustrated atlases. In college, activities included hands-on and bedside teaching sessions. Hybrid activities such as team-based learning, case-based learning, and seminars were included. Case discussions and roleplays were conducted as assignme

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Diao, Zhifeng, and Fanglei Sun. "A Deep-Learning Neural Network Approach for Secure Wireless Communication in the Surveillance of Electronic Health Records." Processes 11, no. 5 (2023): 1329. http://dx.doi.org/10.3390/pr11051329.

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The electronic health record (EHR) surveillance process relies on wireless security administered in application technology, such as the Internet of Things (IoT). Automated supervision with cutting-edge data analysis methods may be a viable strategy to enhance treatment in light of the increasing accessibility of medical narratives in the electronic health record. EHR analysis structured data structure code was used to obtain data on initial fatality risk, infection rate, and hazard ratio of death from EHRs for prediction of unexpected deaths. Patients utilizing EHRs in general must keep in min

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Widayanti, Esti Yuli, and Wiwin Widyawati. "Sustainable Development in Islamic Education: Embedding a Zero-Waste-Based Learning Program for Pre-Service Madrasah Teachers." Cendekia: Jurnal Kependidikan dan Kemasyarakatan 22, no. 2 (2024): 283–96. https://doi.org/10.21154/cendekia.v22i2.9854.

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This study aims to formulate a learning program for the pre-service elementary madrasah teacher IAIN Ponorogo. This study is very important to be able to support sustainable development appropriate for environmental conservation. The program is supported with zero-waste aspect waste management materials which have been included in environment studying approach. Research and Development was used as a design of the study while this model belongs to eight instructional development phases, with or without modification in ADDIE Model. Observation was conducted to examine the implementation and proc

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Zainuri, Muhammad, and Topo Yono. "MODIFICATION OF THE DIFFICULTY OF FACILITIES AND INFRASTRUCTURE IN SALAF SCHOOLS WITH THE BELIEF, TRULY WITH DIFFICULTY THERE IS EASE." Gladi : Jurnal Ilmu Keolahragaan 16, no. 02 (2025): 243–48. https://doi.org/10.21009/gjik.162.09.

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Salaf Schools, as Islamic educational institutions, often face limited facilities and infrastructure. This study aims to analyze the obstacles and challenges in providing sports facilities and infrastructure, especially badminton, in Salaf schools that have limited facilities. Creative modifications such as the use of used bottles as a substitute for rackets are carried out to overcome these limitations. This study uses a qualitative approach with descriptive methods and case studies. Data were collected through semi-structured interviews with teachers and principals, as well as observations o

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Budi, Ilmawan Lutfi, Muladi Muladi, and Prasetya Didik Dwi. "Negation handling for sentiment analysis task: approaches and performance analysis." Negation handling for sentiment analysis task: approaches and performance analysis 14, no. 3 (2024): 3382–93. https://doi.org/10.11591/ijece.v14i3.pp3382-3393.

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Negation plays an essential role in sentiment analysis within natural language processing (NLP). Its integration involves two key aspects: identifying the scope of negation and incorporating this information into the sentiment model. Before delving into scope detection, the specific negation cue must be identified, with explicit and implicit negation cues being the two main types. Various methodologies, such as rule-based, machine learning, and hybrid approaches, address the negation scope detection challenge. Strategies for leveraging negation information in

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Fitriana, Riza. "EFEKTIVITAS INTERVENSI MODIFIKASI PERILAKU DENGAN REINFORCEMENT POSITIF DAN NEGATIF PADA SISWA SLOW LEARNER: STUDI KASUS TUNGGAL." JURNAL SENPLING MULTIDISIPLIN INDONESIA 3, no. 1 (2025): 32–38. https://doi.org/10.52364/jsmi.v3i1.29.

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This research aims to optimize the capabilities of a slow learner student through behavior modification intervention using positive and negative reinforcement. The research subject is R, a 16-year-old eighth-grade MTs student with an IQ score of 81 (Wechsler scale), which falls in the below-average category and exhibits slow learner characteristics. The research method employs a Single Subject Research (SSR) design with repeated measurements of behavioral changes conducted over a two-week period. The results show significant changes in the subject's behavior after intervention, including: redu

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Szalay, L., and Z. Tóth. "An inquiry-based approach of traditional ‘step-by-step’ experiments." Chemistry Education Research and Practice 17, no. 4 (2016): 923–61. http://dx.doi.org/10.1039/c6rp00044d.

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This is the start of a road map for the effective introduction of inquiry-based learning in chemistry. Advantages of inquiry-based approaches to the development of scientific literacy are widely discussed in the literature. However, unless chemistry educators take account of teachers' reservations and identified disadvantages such approaches will never have the place they deserve in the everyday teaching of chemistry. If circumstances do not allow for complicated and open-ended inquiry tasks, simpler and more structured inquiry-based tasks may be used. As a first step, teachers could be asked

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Gorzałczany, Marian B., and Filip Rudziński. "Evolution of SOMs’ Structure and Learning Algorithm: From Visualization of High-Dimensional Data to Clustering of Complex Data." Algorithms 13, no. 5 (2020): 109. http://dx.doi.org/10.3390/a13050109.

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In this paper, we briefly present several modifications and generalizations of the concept of self-organizing neural networks—usually referred to as self-organizing maps (SOMs)—to illustrate their advantages in applications that range from high-dimensional data visualization to complex data clustering. Starting from conventional SOMs, Growing SOMs (GSOMs), Growing Grid Networks (GGNs), Incremental Grid Growing (IGG) approach, Growing Neural Gas (GNG) method as well as our two original solutions, i.e., Generalized SOMs with 1-Dimensional Neighborhood (GeSOMs with 1DN also referred to as Dynamic

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Neale, H. R., D. J. Brown, S. V. G. Cobb, and J. R. Wilson. "Structured Evaluation of Virtual Environments for Special-Needs Education." Presence: Teleoperators and Virtual Environments 8, no. 3 (1999): 264–82. http://dx.doi.org/10.1162/105474699566224.

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This paper describes the development of a structured approach to evaluate the experiential and communication virtual learning environments (VLEs) that were designed specifically for use in the education of children with severe learning difficulties at the Shepherd School in Nottingham. Constructivist learning theory was used as a basis for an evaluation framework and analysis method to evaluate the behavior of the participants as well as the quality of the design of three different VLEs. From an observational field study of student-teacher pairs using the VLEs, eighteen behavior categories wer

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GIACOMUZZI, Salvatore, Salvatore GIACOMUZZI, Sandra VELASQUEZ-MONTIEL, and Oskar AUSSERER. "SYSTEMIC APPROACHES REGARDING THE DEVELOPMENT OF PERSONIFIED «NEW LEARNING»." Психологія і особистість 1, no. 15 (2019): 176–85. https://doi.org/10.5281/zenodo.2560042.

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<em>The new learning requires first an accompanied implementation. Already after one year, it becomes apparent that the corresponding grade levels and performance curves of the students can be improved. Moreover, the participants agree that intraindividual learning definitely improves. In addition, the implementation of the project can greatly increase the well-being of the pupils at school, which naturally has an effect on their performance. We live in an ever faster changing world, in which the school concepts of previous years should be revised and optimized. New approaches, like gender sen

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Nanda, Appaji, and Gungurumale L. Janardhana. "Bridging informal and formal science learning through home gardening during COVID-19: An experiential approach to environmental education." Journal of Environment and Sustainability Education 3, no. 2 (2025): 148–56. https://doi.org/10.62672/joease.v3i2.87.

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Formal education is curriculum-oriented with less practical exposure or time limit to practice, informal learning is life skills learning education since childhood from their parents and society. The COVID-19 pandemic and school closures indicate a loss of formal education and learning deficiency, knowledge, and skill gaps, which are the universal challenges for every teacher, parent, and student. Hence the present study explores to understand the activities of the garden activities to connect with textbook concepts. We interacted with 8923 students of Lower primary school, Higher primary scho

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Koohmishi, Mehdi, and Yunlong Guo. "Machine learning approach to railway ballast degradation prognosis considering crumb rubber modification and parent rock strength." Construction and Building Materials 409 (December 2023): 133985. http://dx.doi.org/10.1016/j.conbuildmat.2023.133985.

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Ramón García, Noelia. "Multiple modification in English and Spanish NPs." International Journal of Corpus Linguistics 11, no. 4 (2006): 463–95. http://dx.doi.org/10.1075/ijcl.11.4.06ram.

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This paper is an English-Spanish corpus-based contrastive study of multiple modification within the boundaries of the noun phrase. This issue is particularly problematic when comparing English and Spanish, and causes difficulties in foreign language learning as well as in translation processes between the two languages. The aim of this study is to unveil the interaction between meaning and grammar in this linguistic area in English and Spanish, revealing the different grammatical structures used in the two languages to actualise a particular meaning. The approach followed in this paper is a fu

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Maebana, Maite E., and Tsebe Wilfred Molotja. "Teacher Experiences of In-Service Training Programmes on Curriculum Differentiation and Modification in Inclusive Primary Schools of Capricorn District, Limpopo Province, South Africa." International Journal of Membrane Science and Technology 10, no. 4 (2023): 942–51. http://dx.doi.org/10.15379/ijmst.v10i4.2173.

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Many teachers struggle with curriculum differentiation and curriculum modification in an inclusive education setting, despite a range of in-service training programmes being offered over recent years. More specifically, several training initiatives have focused on the development of school managers, with the idea of them cascading the information down to the other staff members at school. In this article, we report on teacher experiences of in-service training programmes on curriculum differentiation and modification in inclusive primary schools in the Limpopo Province, South Africa. In undert

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Almonacid, Boris. "AutoMH: Automatically Create Evolutionary Metaheuristic Algorithms Using Reinforcement Learning." Entropy 24, no. 7 (2022): 957. http://dx.doi.org/10.3390/e24070957.

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Machine learning research has been able to solve problems in multiple domains. Machine learning represents an open area of research for solving optimisation problems. The optimisation problems can be solved using a metaheuristic algorithm, which can find a solution in a reasonable amount of time. However, the time required to find an appropriate metaheuristic algorithm, that would have the convenient configurations to solve a set of optimisation problems properly presents a problem. The proposal described in this article contemplates an approach that automatically creates metaheuristic algorit

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Kempin Reuter, Tina. "Simulating Peace Negotiations." Simulation & Gaming 47, no. 6 (2016): 818–36. http://dx.doi.org/10.1177/1046878116667814.

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Background. This article reflects on the use of a simulation of peace talks between Israeli and Palestinians in an upper-level undergraduate course at a liberal arts university in the United States. The university was commissioned to test an externally developed proposal and implementation plan for peace negotiations between Israeli and Palestinians (the “IMPLEMENTATION PLAN”). Aim. (1) To contribute to student’s academic learning and understanding of the conflict; (2) to find strengths and weaknesses of the model. Method. Analysis of data collected using a convergent parallel mixed method app

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Ilmawan, Lutfi Budi, Muladi Muladi, and Didik Dwi Prasetya. "Negation handling for sentiment analysis task: approaches and performance analysis." International Journal of Electrical and Computer Engineering (IJECE) 14, no. 3 (2024): 3382. http://dx.doi.org/10.11591/ijece.v14i3.pp3382-3393.

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Negation plays an essential role in sentiment analysis within natural language processing (NLP). Its integration involves two key aspects: identifying the scope of negation and incorporating this information into the sentiment model. Before delving into scope detection, the specific negation cue must be identified, with explicit and implicit negation cues being the two main types. Various methodologies, such as rule-based, machine learning, and hybrid approaches, address the negation scope detection challenge. Strategies for leveraging negation information in sentiment models encompass heurist

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Suanda, Nanda, and Dwi Wahyudiati. "Ethnochemistry: Analysis of the Relevance of Material Atomic Structure with the Ngejot Tradition as a Source for Learning Chemistry." Hydrogen: Jurnal Kependidikan Kimia 11, no. 3 (2023): 267. http://dx.doi.org/10.33394/hjkk.v11i3.7803.

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Limitations in the form of teaching materials as learning resources in chemistry learning is a problem that occurs quite seriously in secondary schools and in tertiary institutions so the ethnochemistry approach is one form of modification in the development of contextual chemistry teaching materials. This study aims to analyze chemistry teaching materials as a source of learning by exploring the potential of local Sasak wisdom with the ngejot tradition. Data collection techniques through literature, interviews, and documentation using a qualitative approach. The use of Miles & Huberman's

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Robinson, Brian S., Theodore W. Berger, and Dong Song. "Identification of Stable Spike-Timing-Dependent Plasticity from Spiking Activity with Generalized Multilinear Modeling." Neural Computation 28, no. 11 (2016): 2320–51. http://dx.doi.org/10.1162/neco_a_00883.

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Characterization of long-term activity-dependent plasticity from behaviorally driven spiking activity is important for understanding the underlying mechanisms of learning and memory. In this letter, we present a computational framework for quantifying spike-timing-dependent plasticity (STDP) during behavior by identifying a functional plasticity rule solely from spiking activity. First, we formulate a flexible point-process spiking neuron model structure with STDP, which includes functions that characterize the stationary and plastic properties of the neuron. The STDP model includes a novel fu

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Durango Oquendo, María Teresa. "Education and Health. Learning healthy habits among Colombian students: A study on attitudes towards food." Gaceta Médica de Caracas 132, no. 4 (2024): 1037–50. https://doi.org/10.47307/gmc.2024.132.4.15.

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This study employs an attitude change approach to examine the effectiveness of diverse pedagogical strategies in conveying human nutrition concepts. The objective was to evaluate the impact of these strategies on knowledge and attitudes towards food. It was employed the DIAC method, which combines qualitative and quantitative approaches, and included 100 secondary school students and 129 families from a public educational institution in Colombia. A learning unit on human nutrition was implemented for the students, while the families completed a survey to assess their perceptions of family nutr

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Dorji, Rinchen. "School Principals’ Experiences of Implementing Inclusive Education in Bhutan." Asian Journal of Inclusive Education 09, no. 01 (2021): 03–26. http://dx.doi.org/10.59595/ajie.09.1.2.

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The experiences of school principals implementing inclusive education in Bhutan is the focus of this study. The results draw on data gleaned from structured interviews of six principals (four males and two females) from the SEN integrated schools in Bhutan. Thematic coding and computational analysis were employed. The results highlighted that these principals were supportive of inclusive education. Within a short period of implementing the inclusive education program in schools, commendable progress has been achieved, especially in making appropriate accommodations and adjustments through the

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Muslimin, Muslimin. "Analysis and Validation of the Development of Science Learning Materials Using a Guided Inquiry Model Combined with Carousel Feedback on the Topic of Light Properties." Indonesian Journal of Innovation Multidisipliner Research 2, no. 4 (2024): 189–99. https://doi.org/10.69693/ijim.v2i4.228.

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This study aimed to produce valid learning materials on the topic of light properties using the Plomp development model, which consists of five stages: Preliminary Investigation, Design, Realization, Testing, Evaluation, Revision, and Implementation. The model was modified to suit the specific needs of the study. The modification excluded the implementation phase after completing the test, evaluation, and revision stages. The developed learning materials included a Teaching Module based on guided inquiry combined with carousel feedback, Student Worksheets (LKPD), and a Critical Thinking Skills

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Maulidah, Winda Syafaatin, and Kurnia Mufalakhah. "Instructional Modifications in Inclusive Early Childhood Education: A Case Study of Teaching Strategies for Children with Autism in Yogyakarta." Global Educational Research Review 1, no. 2 (2024): 73–81. https://doi.org/10.71380/gerr-08-2024-20.

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Purpose – This study investigates the application and effectiveness of instructional modifications in an inclusive classroom, specifically focusing on a child with autism, at TK ABA Karanganyar, Yogyakarta. The research addresses the knowledge gap in inclusive education by exploring how teaching strategies can be adapted to meet the diverse needs of students, particularly children with special needs (CSN), and foster their academic and social development.. Design/Methods/Approach – A qualitative case study method was employed, utilizing semi-structured interviews, direct classroom observations

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Sharipov, D. K., and A. D. Saidov. "Modified SHAP approach for interpretable prediction of cardiovascular complications." Проблемы вычислительной и прикладной математики, no. 2(64) (May 15, 2025): 114–22. https://doi.org/10.71310/pcam.2_64.2025.10.

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This article explores the significance of modifying SHAP (SHapley Additive exPlana tions) values to enhance model interpretability in machine learning. SHAP values provide a fair attribution of feature contributions, making AI-driven decision-making more trans parent and reliable. However, raw SHAP values can sometimes be difficult to interpret due to feature interactions, noise, and inconsistencies in scale. The article discusses key techniques for modifying SHAP values, including feature aggregation, normalization, cus tom weighting, and noise reduction, to improve clarity and relevance in e

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Lan, Tianze, Kittisak Jermsittiparsert, Sara T. Alrashood, Mostafa Rezaei, Loiy Al-Ghussain, and Mohamed A. Mohamed. "An Advanced Machine Learning Based Energy Management of Renewable Microgrids Considering Hybrid Electric Vehicles’ Charging Demand." Energies 14, no. 3 (2021): 569. http://dx.doi.org/10.3390/en14030569.

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Renewable microgrids are new solutions for enhanced security, improved reliability and boosted power quality and operation in power systems. By deploying different sources of renewables such as solar panels and wind units, renewable microgrids can enhance reducing the greenhouse gasses and improve the efficiency. This paper proposes a machine learning based approach for energy management in renewable microgrids considering a reconfigurable structure based on remote switching of tie and sectionalizing. The suggested method considers the advanced support vector machine for modeling and estimatin

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Kharroubi, Abderrazzaq, Zouhair Ballouch, Imane Jeddoub, Rafika Hajji, and Roland Billen. "Automated detection and structuration of building and vegetation changes from LiDAR point clouds." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-2/W8-2024 (December 14, 2024): 227–33. https://doi.org/10.5194/isprs-archives-xlviii-2-w8-2024-227-2024.

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Abstract. Urban environments are continuously changing, driven by factors such as population growth and infrastructure expansion, which necessitates regular updates to urban models. Accurate, up-to-date information on these changes is critical, particularly for national mapping agencies monitoring long-term urban development. This paper presents an automated methodology for detecting building and vegetation changes within urban environments using LiDAR point clouds, focusing on the city of Liège in Belgium. By leveraging recent aerial LiDAR data from 2022, our approach identifies, models, and

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Grigorieva, Natalia N., Dmitry I. Kravtsov, and Evgeniya V. Popechets. "ENDOGENOUS MODELS OF ECONOMIC GROWTH WITH LIMITED RATIONALITY." EKONOMIKA I UPRAVLENIE: PROBLEMY, RESHENIYA 2/15, no. 155 (2025): 122–28. https://doi.org/10.36871/ek.up.p.r.2025.02.15.014.

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This article presents a modification of the classical endogenous model of economic growth based on the inclusion of bounded rationality of agents through adaptive learning procedures and heuristic decision-making rules. In contrast to the traditional approach, which assumes full awareness and optimal behavior, within the framework of the developed framework, economic entities form expectations based on stochastic algorithms with a constant learning rate (constant gain learning), which allows simulating behavior under cognitive and information limitations. The theoretical model is built on a mo

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Handayani, Nuri Aprilia, Joko Pamungkas, and Ika Budi Maryatun. "Implementation of Free Expression Approach in Dance Learning for Developing Children’s Creativity: A Case Study at Kindergarten." Journal of Innovation in Educational and Cultural Research 5, no. 4 (2024): 667–77. https://doi.org/10.46843/jiecr.v5i4.2081.

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In early childhood education, traditional dance instruction often relies heavily on imitation and structured routines, potentially limiting children's creative development. Recent research suggests that more open-ended, expressive approaches may better foster creativity and movement exploration in young learners. This case study investigates applying a free-expression approach in dance learning to develop children's creativity in kindergarten, which addresses the critical need to move away from imitative teaching methods. The research utilized a qualitative case study methodology. Data were co

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Murashko, O. V., and Y. V. Tkachov. "UNDERSTANDING PHYSICS-GUIDED MACHINE LEARNING: APPLICATIONS, TRENDS, AND CHALLENGES FOR AEROSPACE." System design and analysis of aerospace technique characteristics 36, no. 1 (2025): 58–69. https://doi.org/10.15421/472506.

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The article provides a systematic review of the PGML concept as a new approach to modeling complex engineering problems in aerospace engineering. Particular attention is focused on how the integration of physical laws with machine learning algorithms transforms traditional approaches to analysis, design, and operation of structures. The principles underlying PGML are examined: modification of the loss function to account for residuals of physical equations, constructive embedding of symmetries into the model structure, and the development of a computational space based on physical invariants.

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Barber, Krystal. "Developing teachers’ mathematical-task knowledge and practice through lesson study." International Journal for Lesson and Learning Studies 7, no. 2 (2018): 136–49. http://dx.doi.org/10.1108/ijlls-09-2017-0042.

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Purpose The purpose of this paper is to examine how lesson study can lead to teacher learning and improvement of instruction by developing teachers’ mathematical-task knowledge and by supporting teachers’ selection, modification, and implementation of mathematical tasks. Mathematical-task knowledge includes knowledge needed to use tasks that require a high level of thinking and reasoning. Design/methodology/approach A qualitative case study design was used to explore the learning and instruction of three teachers as they went through the process of lesson study, developed knowledge around math

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McConkey, R., E. Yee, and F. S. Lien. "Deep structured neural networks for turbulence closure modeling." Physics of Fluids 34, no. 3 (2022): 035110. http://dx.doi.org/10.1063/5.0083074.

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Despite well-known limitations of Reynolds-averaged Navier–Stokes (RANS) simulations, this methodology remains the most widely used tool for predicting many turbulent flows due to computational efficiency. Machine learning is a promising approach to improve the accuracy of RANS simulations. One major area of improvement is using machine learning models to represent the complex relationship between the mean flow field gradients and the Reynolds stress tensor. In the present work, modifications to improve the stability of previous optimal eddy viscosity approaches for RANS simulations are presen

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Liu, Yu, Chaofan Ye, Can Lin, Kangkang Mao, and Ming Zhu. "MDDeep-Ace: species-specific acetylation site prediction based on multi-domain adaptation." PeerJ 13 (July 3, 2025): e19649. https://doi.org/10.7717/peerj.19649.

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Background Lysine post-translational modification (PTM) is pivotal in regulating diverse cellular processes, profoundly impacting protein structure and function. Over recent decades, numerous experimental techniques have advanced PTM site identification, significantly contributing to research progress. However, these methods are time-intensive and labor-intensive. Deep learning technologies have shown promise in predicting PTM sites, yet current approaches struggle with species-specific PTM site prediction. Methods We introduce MDDeep-Ace, a novel deep learning method based on multi-domain ada

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John Mrema, Karoli. "Pedagogical Strategies for Primary School Learners in Inclusive Settings: Experiences from Temeke Municipality, Tanzania." EAST AFRICAN JOURNAL OF EDUCATION AND SOCIAL SCIENCES 5, no. 6 (2024): 52–64. https://doi.org/10.46606/eajess2024v05i06.0414.

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In this study, the researcher explored the pedagogical strategies employed by teachers in inclusive classrooms to support primary school learners with learning disabilities in Temeke Municipality, Tanzania. The study employed the qualitative approach to explore complexities of inclusive education practices, using a multiple case study design, which facilitated the in-depth investigation of teaching practices across 13 inclusive primary schools. The target population for this study comprised 351 classroom teachers from whom a sample of 22 participated through semi-structured interviews. The ana

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Yin, Ying, Yuhai Zhao, Yiming Sun, and Chen Chen. "Automatic Code Review by Learning the Structure Information of Code Graph." Sensors 23, no. 5 (2023): 2551. http://dx.doi.org/10.3390/s23052551.

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At present, the explosive growth of software code volume and quantity makes the code review process very labor-intensive and time-consuming. An automated code review model can assist in improving the efficiency of the process. Tufano et al., designed two automated tasks to help improve the efficiency of code review based on the deep learning approach, from two different perspectives, namely, the developer submitting the code and the code reviewer. However, they only used code sequence information and did not explore the logical structure information with a richer meaning of the code. To improv

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Azmar, Khairunnisa, and Abu Bakar Razali. "Teaching and Learning of English Academic Writing in a Public University in Malaysia: A Case Study." International Journal of Instruction 17, no. 4 (2024): 645–68. http://dx.doi.org/10.29333/iji.2024.17436a.

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English academic writing is deemed as essential skills to be acquired by students in tertiary education as they are mostly assessed through their proficiency in writing skills. To teach this technical course, ESL lecturers need to possess the required content knowledge and pedagogical skills. However, many ESL/EFL lecturers and students regard academic writing as challenging to teach and learn. This paper aims to discuss the teaching and learning of English academic writing in a public university in Malaysia. Grounded in a small-scale case study, data were collected through semi-structured int

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Довбиш, Анатолій Степанович, Ігор Володимирович Шелехов, Юлія Олексіївна Хібовська та Олександр Вячеславович Матяш. "Інформаційно-аналітична система оцінювання відповідності сучасним вимогам навчального контенту спеціальності кібербезпека". RADIOELECTRONIC AND COMPUTER SYSTEMS, № 1 (27 лютого 2021): 70–80. http://dx.doi.org/10.32620/reks.2021.1.06.

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The urgent task of increasing the functional efficiency of machine learning of the information and analytical system (IAS) for assessing compliance with modern requirements of the bachelor level academic disciplines content of the specialty "Cybersecurity" has been solved. A method of information-extremal machine learning IAS has been developed to adapt the educational content of the graduating department to the requirements of the labor market, which allows, when the system is operating in the monitoring mode, to promptly correct the content of the graduating department educational discipline

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Sampath, Sampath, and D. K. Sreekantha. "Efficient Data Processing Techniques for Structured Data Analysis Using Stream Pipeline Parallelism." Fusion: Practice and Applications 18, no. 1 (2025): 104–15. https://doi.org/10.54216/fpa.180109.

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This research illustrates how dynamic task balancing and data sharing may improve distributed data processing. The technology handles parallel processing system difficulties with huge datasets by minimizing resource utilization, time complexity, and output. We modify the workload on the fly after splitting to ensure that all processing units receive equal work. One last optimization phase optimizes job distribution to maximize system efficiency. We test the solution for latency, speed, scalability, resource utilization, fault tolerance, and synchronization overhead. Results reveal that the new

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Masada, Tomonari. "Unsupervised Segmentation of Bibliographic Elements with Latent Permutations." International Journal of Organizational and Collective Intelligence 2, no. 2 (2011): 49–62. http://dx.doi.org/10.4018/joci.2011040104.

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This paper introduces a new approach for large-scale unsupervised segmentation of bibliographic elements. The problem is segmenting a citation given as an untagged word token sequence into subsequences so that each subsequence corresponds to a different bibliographic element (e.g., authors, paper title, journal name, publication year, etc.). The same bibliographic element should be referred to by contiguous word tokens. This constraint is called contiguity constraint. The authors meet this constraint by using generalized Mallows models, effectively applied to document structure learning by Che

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Rogan, Slavko, Jan Taeymans J, Stefan Zuber, and Evert Zinzen. "Planning and Implementation of Guided Self-study in an Undergraduate Physiotherapy Curriculum in Switzerland—A Feasibility Study." Journal of Medical Education and Curricular Development 7 (January 2020): 238212052094492. http://dx.doi.org/10.1177/2382120520944921.

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Background: Self-directed learning (andragogy) or self-determined learning (heutagogy) can be implemented in guided self-study (GSS) with the aim to foster changes in the knowledge and skills of physiotherapy students in a higher education setting. To date, there is a lack of evidence for the use of GSS in higher education for physiotherapy. Aim: This study aimed to evaluate the feasibility of developing and implementing GSS in an undergraduate physiotherapy educational program in Switzerland. In addition, the effectiveness of GSS in bringing changes in knowledge and skills was assessed. Metho

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Hahn, Lea-Sofie, Ansgar Thiel, Viola Dembeck, et al. "Addressing organizational learning to increase readiness for physical activity promotion in seven German nursing homes." PLOS One 20, no. 5 (2025): e0315241. https://doi.org/10.1371/journal.pone.0315241.

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Promoting physical activity among nursing home residents is essential for enhancing physical and mental well-being. However, organizational structures often prioritize basic care and indirectly hinder physical activity promotion. This study investigates organizational and individual learning processes to increase readiness for physical activity promotion in seven German nursing homes between 2020 and 2023. We selected a heterogeneous mix of nursing homes from the applications representing different forms of organizations regarding environmental contexts, capacity, care providers, and resident

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Lee, Lai Har Judy, Rozi Binte Rahmat, Poh Heng Lim, Li Lin, and Toh Hwee Tan. "Online knowledge construction in networked learning communities." Proceedings of the International Conference on Networked Learning 11 (May 14, 2018): 373–80. http://dx.doi.org/10.54337/nlc.v11.8785.

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Networked Learning Communities (NLCs) comprise individuals from different schools or organisations collaborating with one another in purposeful and sustained professional development (Jackson & Temperley, 2007). Knowledge construction is central to the work of NLCs as networked learning entails the construction of new knowledge by tapping members’ personal practitioner knowledge and the public knowledge base. In Singapore, some NLCs sustain their professional learning through online interactions in collaboration groups within "One Portal All Learners (OPAL)", a learning and content managem

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Xiao, He, and Kasma Suwanarak. "EFL Teachers’ Emotions Toward Online-Merge-Offline Teaching Mode in University." Theory and Practice in Language Studies 14, no. 10 (2024): 3186–98. http://dx.doi.org/10.17507/tpls.1410.21.

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The Online-Merge-Offline (OMO) teaching mode has emerged as a prominent new approach in language education reform with the expansion of online teaching in China. Due to the emotional complexity involved in educational reforms, this study explores the emotions expressed by Chinese EFL teachers in OMO classes, investigates the situational causes, and examines emotion regulation strategies in English Language Teaching. A questionnaire was distributed to 48 Chinese EFL teachers teaching General English (GE) using OMO mode across three normal universities, followed by semi-structured interviews for

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Da Silveira, Kelly Cristine, Matheus Henrique Silva Siqueira, João Matheus Ramos Gama, Jonathan Nogueira Gois, Cláudio Fabiano Motta Toledo, and Antônio J. Silva Neto. "A Comparison of Machine Learning Approaches in Predicting Viscosity for Partially Hydrolyzed Polyacrylamide Derivatives." VETOR - Revista de Ciências Exatas e Engenharias 33, no. 1 (2023): 2–12. http://dx.doi.org/10.14295/vetor.v33i1.15157.

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Partially hydrolyzed polyacrylamides (HPAM) are widely used to modulate the viscosity of formulations. The appropriate application of a viscosity model can facilitate the idealization of new macromolecules and contribute to a better understanding of the structure-property relationship. In the present study, machine learning approaches, Multiple Linear Regression (MLR) and Random Forest (RF), were compared to model the viscosifying effect of HPAM derivatives, based on their chemical composition and concentration in an aqueous solution. The evaluated data come from a previous experimental study,

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Luhmann, T. "Learning Photogrammetry with Interactive Software Tool PhoX." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B6 (June 17, 2016): 39–44. http://dx.doi.org/10.5194/isprs-archives-xli-b6-39-2016.

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Photogrammetry is a complex topic in high-level university teaching, especially in the fields of geodesy, geoinformatics and metrology where high quality results are demanded. In addition, more and more black-box solutions for 3D image processing and point cloud generation are available that generate nice results easily, e.g. by structure-from-motion approaches. Within this context, the classical approach of teaching photogrammetry (e.g. focusing on aerial stereophotogrammetry) has to be reformed in order to educate students and professionals with new topics and provide them with more informat

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