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Journal articles on the topic 'Context-based learning activity model'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Yun, Hange, Qiaoping Zhang, Yiru Chen, and Wing Nam Chau. "Incorporating Mathematics into STEAM Project-based Learning Activity: A Pedagogical Model." Korean Society of Educational Studies in Mathematics - Journal of Educational Research in Mathematics 34, no. 4 (2024): 889–910. https://doi.org/10.29275/jerm.2024.34.4.889.

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Kulkarni, Smita S., and Sangeeta Jadhav. "Machine Learning Model for Group Activity Recognition Based on Discriminative Interaction Contextual Relationship." Mathematical Problems in Engineering 2021 (August 3, 2021): 1–10. http://dx.doi.org/10.1155/2021/5596312.

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This paper represents the recognition of group activity in public areas, considering personal actions and interactions between people from the field of computer vision. Modeling the interaction relationships between multiple people is essential for recognizing group activity in the video scene. In artificial intelligence applications, identifying group activities based on human interaction is often a challenging task. This paper proposed a model that formulates a group action context (GAC) descriptor. The descriptor was developed by integrating the focal person action descriptor and interactio

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Yuan, Hangjie, and Dong Ni. "Learning Visual Context for Group Activity Recognition." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 4 (2021): 3261–69. http://dx.doi.org/10.1609/aaai.v35i4.16437.

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Group activity recognition aims to recognize an overall activity in a multi-person scene. Previous methods strive to reason on individual features. However, they under-explore the person-specific contextual information, which is significant and informative in computer vision tasks. In this paper, we propose a new reasoning paradigm to incorporate global contextual information. Specifically, we propose two modules to bridge the gap between group activity and visual context. The first is Transformer based Context Encoding (TCE) module, which enhances individual representation by encoding global

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Runnel, Maria Isabel, Margus Pedaste, and Äli Leijen. "MODEL FOR GUIDING REFLECTION IN THE CONTEXT OF INQUIRY-BASED SCIENCE EDUCATION." Journal of Baltic Science Education 12, no. 1 (2013): 107–18. http://dx.doi.org/10.33225/jbse/13.12.107.

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Only a limited number of studies have focused on guiding students’ reflection in the context of inquiry learning in science education. In this study, a review of literature about reflection, reflection skills, and reflection levels was conducted in order to develop a new model for guided reflection in the context of science education using the advantages of technology-enhanced learning. The outcomes of the literature review suggest that in the context of science education reflection should be seen as a metacognitive activity that supports the integration of theory and one’s own experiences to

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Endang, Prasetyo, Pekik Irianto Djoko, and Nasrulloh Ahmad. "Problem-Based Learning: As an Effort to Improve Volleyball Activity & Learning Outcomes." International Journal of Multidisciplinary Research and Analysis 05, no. 03 (2022): 709–19. https://doi.org/10.5281/zenodo.6383687.

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This study aims to improve learning activity and learning outcomes through a problem-based learning (PBL) learning model approach. This research is a Classroom Action Research (CAR) which was carried out in three cycles. The research subjects were students of class VIID SMP Negeri 2 Mlati totaling 32 students. The research instruments, namely: observation guidelines, learning activity observation sheets, observation sheets for assessing the process and results of volleyball. Indicators of success, namely active learning and learning outcomes of at least 85% of the total students completed (KKM

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Desak, Putu Kartiwi. "UPAYA MENINGKATKAN AKTIVITAS DAN PRESTASI BELAJAR MELALUI PENERAPAN MODEL PROBLEM BASED LEARNING PADA SISWA KELAS XI MIPA 8 SMA NEGERI 7 DENPASAR TAHUN PELAJARAN 2020/2021." WIDYADARI 22, no. 1 (2021): 371–81. https://doi.org/10.5281/zenodo.4661880.

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<em>The purpose of this study was to determine the increase in activity, learning achievement, and student responses of class XI MIPA 8 to the application of problem-based learning models in mathematics learning. This type of research is a classroom action research conducted online via Zoom and Google Classroom. The research subjects were all students of class XI MIPA 8 at SMA Negeri 7 Denpasar in the academic year 2020/2021 even semester, totaling 40 people. This study uses two cycles to improve students' mathematics learning outcomes through four stages of the activity process which incl

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Santoso, Nurhadi, and Nugroho Puji Santoso. "Case study: problem-based learning model for soccer basic movement skills and learning activity." Retos 61 (October 4, 2024): 578–82. http://dx.doi.org/10.47197/retos.v61.109754.

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Background: The education curriculum is developed to prepare students to gain comprehensive experiences and life skills. Learning effectiveness, especially in physical education, depends on the teacher's ability to choose the right learning strategies, models and methods. However, problems often faced in the learning process include lack of student attention, teacher dominance in the learning process, and passive learning tendencies. The Problem-Based Learning (PBL) learning model emerged as a potential approach to address these issues and improve the quality of learning. Study Objectives: Thi

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Pursitasari, I. D., E. Suhardi, A. P. Putra, and I. Rachman. "Enhancement of Student’s Critical Thinking Skill through Science Context-based Inquiry Learning." Jurnal Pendidikan IPA Indonesia 9, no. 1 (2020): 97–105. http://dx.doi.org/10.15294/jpii.v9i1.21884.

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This study aims to enhance critical thinking skill through science context-based inquiry learning (SCOIL). This study is a quasi-experimental research with pretest and posttest control group design. The SCOIL was carried out in seventh-grade junior high school in Bogor with 56 students consisted of 24 boys and 36 girls. Data were collected by giving out critical thinking skill tests, observing the teaching and learning process, and students’ activities. Those data were analyzed descriptively and inferentially. Syntax of SCOIL was namely observation, investigation, representation, conclusions,

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Nurasyah, Dewi Napitupulu. "The urgency of the multi-model approach in learning environmental physics to achieve learning goals." World Journal of Advanced Research and Reviews 13, no. 3 (2022): 431–37. https://doi.org/10.5281/zenodo.6414073.

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Some learning models that can improve creative thinking skills are CPS (Creative Problem Solving), IBL (Inquiry-Based Learning), JUCAMA (Problem Submission and Solving), PBL (Problem Based Learning), SSCS (Search, Solve, Create, Share), Quantum Learning, PjBL (Project Based Learning) and PQ4R (Preview, Question, Read, Reflect, Recite, Review). However, the combination of IBL, PBL, and PjBL models in one teaching activity is essential to create exciting and dynamic learning conditions. These three models have a more structured learning syntax than the other models. The IBL learning model has ad

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Dong, Biao. "Research on Mobile Learning Based on a Feedback Model." Applied Mechanics and Materials 678 (October 2014): 653–56. http://dx.doi.org/10.4028/www.scientific.net/amm.678.653.

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This paper presents an approach for modeling the mobile learning applications using a feedback-based recommendation model. Formal definitions are proposed for the mobile learning activity. The design unites three of the mobile learning's aspects, namely learner, service and context, and provides means for learner service evaluation within the recommendation model. The results show that the recommendation model can easily be constructed, while enabling accurate recommendations by solving the sparsity problem of service and learner′s information.

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Kosrane, Mohamed, and Mohamed Gharzouli. "Toward a Context-Aware Course-Planning Model in Pervasive Learning Environments." International Journal of Emerging Technologies in Learning (iJET) 18, no. 15 (2023): 36–51. http://dx.doi.org/10.3991/ijet.v18i15.40601.

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This article proposes a context-aware course-planning model for pervasive learning environments. The model considers learners’ preferences, including their learning styles, locations, activities, and devices. The model generates four-dimensional contexts based on these preferences, each dimension being a weighted vector of visual, aural, read/write, and kinesthetic (VARK) features. Using a content-based similarity algorithm, the model adapts the course content to each learner’s context. The courses are created in a sequence of rings, each containing all possible learning materials (LMs) that h

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Anak, Agung Mas Udayani. "PENERAPAN MODEL PEMBELAJARAN PROJECT BASED LEARNING DENGAN PENDEKATAN STEM DALAM MENINGKATKAN HASIL BELAJAR KIMIA PADA MATERI SENYAWA KARBON SISWA KELAS XII MIPA 2 SMA NEGERI 7 DENPASAR TAHUN PELAJARAN 2022/2023." Widyadari 24, no. 1 (2023): 10–21. https://doi.org/10.5281/zenodo.7812422.

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<em>The purpose of this research is to improve students' learning outcomes in Chemistry by applying the Project Based Learning learning model with the STEM approach to students' Carbon Compounds material. The implementation of this class action research was carried out in class XII MIPA 2 SMA Negeri 7 Denpasar in semester 1. The subjects of this research were class XII MIPA 2 SMA Negeri 7 Denpasar in the academic year 2022/2023, a total of 44. The object of research is the application of the Project Based Learning learning model with the STEM approach, and learning outcomes. In this st

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Figueiredo, João, Carlos Serrão, and Ana Maria de Almeida. "Deep Learning Model Transposition for Network Intrusion Detection Systems." Electronics 12, no. 2 (2023): 293. http://dx.doi.org/10.3390/electronics12020293.

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Companies seek to promote a swift digitalization of their business processes and new disruptive features to gain an advantage over their competitors. This often results in a wider attack surface that may be exposed to exploitation from adversaries. As budgets are thin, one of the most popular security solutions CISOs choose to invest in is Network-based Intrusion Detection Systems (NIDS). As anomaly-based NIDS work over a baseline of normal and expected activity, one of the key areas of development is the training of deep learning classification models robust enough so that, given a different

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Naviy, Liza, Gulmira M. Rakisheva, Nina M. Stukalenko, et al. "Ways to Enhance Students’ Learning Activities in the Context of Higher Education." Journal of Intellectual Disability - Diagnosis and Treatment 8, no. 4 (2020): 657–61. http://dx.doi.org/10.6000/2292-2598.2020.08.04.8.

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The article aims to study scientific and methodological features of the ways to enhance students’ learning activities in the context of higher education. The study's theoretical significance is derived from the in-depth analysis of the development of students' learning activity. The study offers the framework of characteristics for the concept of “students’ learning (cognitive) activity”. The main used methods were: analysis, peer-assessment, self-assessment. The interview method was used to make a cognitive profile of the participants, taking into account their psychological characteristics.

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Anoir, Lamya, Kawtar Zargane, Mohamed Erradi, and Mohamed Khaldi. "Personalization of an educational scenario of a learning activity according to the learning styles model David Kolb." Global Journal of Engineering and Technology Advances 5, no. 3 (2020): 099–108. https://doi.org/10.5281/zenodo.4478487.

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The personalization of learning remains a very important subject in research particularly with the progression of technology, it refers to a pedagogical approach that is located in an intermediate space where teaching and learning come together with devices personalized and adapted training courses for the different learner profiles in a social learning context. We offer a general approach to the personalization of teaching scenarios during the different types of teaching activities and taking consideration the learning styles of the learners and based on the Kolb learning style model. Our res

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Nu’aimah, Sulasun, Puput Wanarti Rusimamto, Joko Joko, Rizcha Novtiana, and Farchan Arif Rosadi. "INCREASING ACTIVITY AND PRACTICAL SKILLS THROUGH THE PROJECT BASED LEARNING MODEL." EXPOSURE : JURNAL PENDIDIKAN BAHASA INGGRIS 13, no. 2 (2024): 613–27. https://doi.org/10.26618/exposure.v13i2.15160.

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This research aims to explore increasing activeness and practical skills through the application of the Project Based Learning (PjBL) learning model. The research method used is qualitative with a descriptive analysis approach, with a focus on literature review. This research will explore literature related to the concept and implementation of PjBL in an educational context, as well as evaluate its impact on students' activeness in learning and development of practical skills. Through descriptive analysis, this research will examine various empirical studies, theories, and conceptual framework

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Aji, Shinta Kesuma, Ramadi Ramadi, and Hirja Hidayat. "Penerapan model pembelajaran project based learning terhadap kreativitas siswa PJOK." Jurnal Porkes 7, no. 1 (2024): 448–58. http://dx.doi.org/10.29408/porkes.v7i1.25762.

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This study aims to improve student creativity in learning PJOK by applying a project-based learning (PJBL) model using the mind mapping project method. The problem of the lack of effectiveness of the application of learning media and the lack of student involvement in PJOK learning activities in the classroom. This research uses the PTK method. Data collection was done through observation, documentation, field notes, learning instruments and observation sheets. The data obtained were analyzed using quantitative and qualitative analysis techniques. Quantitative analysis to calculate the percent

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N., Kayarvizhy, Bharath Mahesh Gera, Bhavya Sharma, and Dakshinamurthy S. "TinyML based Deep Learning Model for Activity Detection." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 11s (2023): 149–58. http://dx.doi.org/10.17762/ijritcc.v11i11s.8081.

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Our physical and emotional well-being are directly impacted by our body positions. In addition to promoting a confident, upright image, maintaining good body posture during various activities also ensures that our musculoskeletal system is properly aligned. On the other side, bad posture can result in a number of musculoskeletal conditions, discomfort, and reduced productivity. Accurate systems that can detect posture in real time, activity detection, are required due to the rising use of wearable technology and the growing interest in health and fitness tracking. The goal of this project is t

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Bouchabou, Damien, Sao Mai Nguyen, Christophe Lohr, Benoit LeDuc, and Ioannis Kanellos. "Using Language Model to Bootstrap Human Activity Recognition Ambient Sensors Based in Smart Homes." Electronics 10, no. 20 (2021): 2498. http://dx.doi.org/10.3390/electronics10202498.

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Long Short Term Memory (LSTM)-based structures have demonstrated their efficiency for daily living recognition activities in smart homes by capturing the order of sensor activations and their temporal dependencies. Nevertheless, they still fail in dealing with the semantics and the context of the sensors. More than isolated id and their ordered activation values, sensors also carry meaning. Indeed, their nature and type of activation can translate various activities. Their logs are correlated with each other, creating a global context. We propose to use and compare two Natural Language Process

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Xu-Nan Tan, Xu-Nan Tan. "Human Activity Recognition Based on CNN and LSTM." 電腦學刊 34, no. 3 (2023): 221–35. http://dx.doi.org/10.53106/199115992023063403016.

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<p>Human activity recognition (HAR) based on wearable devices is an emerging field of great interest. HAR can provide additional information on a human subject&rsquo;s physical status. Utilising new technologies for HAR will become very meaningful with the development of deep learning. This study aims to mine deep learning models for HAR prediction with the highest accuracy on the basis of time-series data collected by mobile wearable devices. To this end, convolutional neural networks (CNN) and long short-term memory neural networks (LSTM) are combined in a deep network model to ext

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Prayogo, Darul. "CIPP Evaluation Model and Its Effect on E-Learning." AL-ISHLAH: Jurnal Pendidikan 14, no. 1 (2022): 177–88. http://dx.doi.org/10.35445/alishlah.v14i1.1071.

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One indicator of the quality of educational institutions is the use of information technology in teaching and learning activities. E-learning is fundamentally a teaching and learning activity using internet-based technology. This research aims to evaluate teaching and learning activities using e-learning. This study utilized the CIPP (Context, Input, Process, Product) evaluation model related to e-learning. The analysis technique used was multiple linear regression using R Software to see how much effect context and Input had on the learning process and how much Context and Input had on the le

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Volkova, Liudmyla. "COMMUNICATIVE ASPECT OF FOREIGN LANGUAGE LEARNING PROCESS." Naukovì zapiski Nacìonalʹnogo unìversitetu «Ostrozʹka akademìâ». Serìâ «Fìlologìâ» 1, no. 12(80) (2021): 163–65. http://dx.doi.org/10.25264/2519-2558-2021-12(80)-163-165.

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The importance of forming foreign language communicative competence in the context of professional training has been ascertained for efficient usage in learning process of foreign language. The efficiency of communicative aspect in the educational process of higher education is proved, as it provide an opportunity to form professional skills of future professionals, involving them in intensive cognitive, intellectual and creative activity. Communicative activity is considered as a process of solving a number of professional tasks by students. This activity is aimed at achieving a common goal –

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Ahwan, M. Tami Rosadi, Sunarno Basuki, and Mashud. "Meningkatkan Keterampilan Kolaborasi Siswa melalui Aktivitas Kebugaran Jasmani Menggunakan Model Project Based Learning (PjBL) SMA Negeri 3 Banjarbaru." Jurnal Pendidikan Kesehatan Rekreasi Vol.9, No.1 (January 25, 2023): 106–19. https://doi.org/10.5281/zenodo.7592832.

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<em>The background of this research is the low collaboration skills of students in PJOK learning on physical fitness activity material. The purpose of this study was to improve students' collaboration skills on physical fitness activity material using the Project Based Learning model. This type of research is Classroom Action Research (CAR). The research subjects were 35 students of class X MIPA 4 at public senior high school number 3 Banjarbaru. The object of the research is to improve the collaboration skills of class X students of public senior high school number 3 Banjarbaru on physica

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Jihan Satila and Nur Azmi Alwi. "Peningkatan Keaktifan dan Hasil Belajar IPA Siswa Kelas 5 SD Dengan Menggunakan Model Pembelajaran Problem Based Learning." Jurnal Sadewa : Publikasi Ilmu Pendidikan, pembelajaran dan Ilmu Sosial 2, no. 3 (2024): 121–29. http://dx.doi.org/10.61132/sadewa.v2i3.944.

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This article aims to increase student activity and learning outcomes by implementing the problem based learning (PBL) learning model. In implementing the problem-based learning (PBL) model for fifth grade students, the main goal is for students to be able to understand science material and for students to become active in science learning. PBL is a learning model that uses everyday problems as a context for students to be directly involved in problem solving and gaining essential knowledge in science subjects.

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Umayah, Umayah, and Muhiyatul Huliyah. "Early Childhood Learning Model Based On Local Wisdom Entrepreneurship In Banten Province." Indonesian Journal of Islamic Early Childhood Education 6, no. 1 (2021): 78–87. http://dx.doi.org/10.51529/ijiece.v6i1.223.

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Abstract This study uses descriptive qualitative research methods. The aim of this study was to obtain information about early childhood learning based on local wisdom entrepreneurship. This research was conducted at TK Bona Kota Serang and RA Daarul Muqimien Tangerang Regency. The results obtained in this study show that TK Bona have implemented entrepreneurship learning through "market days" activities. Another activity carried out at TK Bona in order to develop life skills is the overnight activity at a pesantren or "mondok". At RA Daarul Muqimien, the learning model in the context of insti

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Izza Afkarina, Kholilur Rohman, and Vina Rohmatul Ummah. "Application of Project Based Learning Model to Increase Student Learning Activity." EDUCARE: Jurnal Ilmu Pendidikan 2, no. 2 (2023): 74–85. https://doi.org/10.71392/ejip.22i2.78.

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This study aims to determine how the implementation of the Project Based Learning model can improve students' learning activities in the subject of Islamic Cultural History. The method used in this study is qualitative with a case study approach. The subjects of the study were grade X students. Data collection techniques include observation, interviews, and documentation. Data were analyzed descriptively through the stages of data reduction, data presentation, and drawing conclusions. The results of the study indicate that the implementation of the Project Based Learning model can significantl

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Khamidulin, V. S. "PROJECT-BASED TECHNOLOGIES AT THE UNIVERSITY: EXPERIENCE AND PROBLEMS." Humanities And Social Studies In The Far East 17, no. 2 (2020): 125–32. http://dx.doi.org/10.31079/1992-2868-2020-17-2-125-132.

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Project-based learning (PjBL) is intended for the development of the 21st century competencies that students need in an environment where knowledge is rapidly loses its relevance and changes are difficult to predict. There are several models for the implementation of project-based learning in the educational programs of universities. This article discusses the model of integrated curriculum, the model of optional learning and limited model of project-based learning. The latter model is implemented in the context when the curriculum presents project activity as a separate discipline that is not

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Lajane, Halima, Mounir Arai, Rachid Gouifrane, et al. "A Scenario of the Formative E-assessment Based on the ARCS Model: What Is the Impact on Student Motivation in Educational Context?" International Journal of Emerging Technologies in Learning (iJET) 16, no. 24 (2021): 135–48. http://dx.doi.org/10.3991/ijet.v16i24.24121.

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The purpose of this research is to measure the motivation of nursing students, option: multi-skilled nurse (n=58), following their participation in an e-learning activity in the form of formative quizzes. The pedagogical scenario was based on Keller's ARCS motivation model. Data were collected through the IMMS questionnaire adopted from the ARCS model. The results show that the students were motivated by the e-learning activity (mean score = 4.22±, 51091), and that the motivation variables studied correlated positively with the overall motivation score (p-value < .001).  T

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Park, Jinsoo, Chiyou Song, Mingi Kim, and Sungroul Kim. "Activity Prediction Based on Deep Learning Techniques." Applied Sciences 13, no. 9 (2023): 5684. http://dx.doi.org/10.3390/app13095684.

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Studies on real-time PM2.5 concentrations per activity in microenvironments are gaining a lot of attention due to their considerable impact on health. These studies usually assume that information about human activity patterns in certain environments is known beforehand. However, if a person’s activity pattern can be inferred reversely using environmental information, it can be easier to access the levels of PM2.5 concentration that affect human health. This study collected the actual data necessary for this purpose and designed a deep learning algorithm that can infer human activity patterns

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Yao, Junjie, Bin Cui, Yuxin Huang, and Xin Jin. "Temporal and Social Context Based Burst Detection from Folksonomies." Proceedings of the AAAI Conference on Artificial Intelligence 24, no. 1 (2010): 1474–79. http://dx.doi.org/10.1609/aaai.v24i1.7507.

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Burst detection is an important topic in temporal stream analysis. Usually, only the textual features are used in burst detection. In the theme extraction from current prevailing social media content, it is necessary to consider not only textual features but also the pervasive collaborative context, e.g., resource lifetime and user activity. This paper explores novel approaches to combine multiple sources of such indication for better burst extraction. We systematically investigate the characters of collaborative context, i.e., metadata frequency, topic coverage and user attractiveness. First,

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Saifullah and Leni Mulia Fitri. "Problem Based Learning Model: How Can This Model Improve Students' Learning Motivation in Qur'an Hadith Subjects?" MADINA : Journal of Islamic Studies 1, no. 1 (2024): 18–26. http://dx.doi.org/10.62945/madina.v1i1.155.

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Student-centered learning will create meaningful learning for each student. Student activity in learning is one of the keys to achieving learning objectives. This study aims to improve student activity in Islamic education learning by implementing the Problem based learning model. This study is a classroom action research. The subjects of this study were eighth grade students of MTs Nagari Binjai. Data were collected using observation and questionnaire techniques. Furthermore, the data were analyzed using descriptive statistical techniques. The results of the study indicate that the problem ba

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Nur, Zarna Elya Zakariya, and Mohd Rosli Marshima. "Physical activity prediction using fitness data: Challenges and issues." Bulletin of Electrical Engineering and Informatics 10, no. 1 (2021): 419–26. https://doi.org/10.11591/eei.v10i1.2474.

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In the new healthcare transformations, individuals are encourage to maintain healthy life based on their food diet and physical activity routine to avoid risk of serious disease. One of the recent healthcare technologies to support self health monitoring is wearable device that allow individual play active role on their own healthcare. However, there is still questions in terms of the accuracy of wearable data for recommending physical activity due to enormous fitness data generated by wearable devices. In this study, we conducted a literature review on machine learning techniques to predict s

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�� and Svetlana Batyreva. "Model of Running Online Professional Learning Based on Competency-Building Approach." Standards and Monitoring in Education 2, no. 2 (2014): 10–14. http://dx.doi.org/10.12737/3790.

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The model designed to run online learning courses of professional development is presented. Online mode of professional development is of special essence as it is meant that course participants could immediately test and put to practice up-to-date professional knowledge, got in the process of online learning. The original model is elaborated using competency-building, system-and-activity-based approach, conducive to nurturing learners� subject position. The mentioned training module provides for stage-by-stage learning process and assumes, that learners individually dea

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Khan, Imran Ullah, Sitara Afzal, and Jong Weon Lee. "Human Activity Recognition via Hybrid Deep Learning Based Model." Sensors 22, no. 1 (2022): 323. http://dx.doi.org/10.3390/s22010323.

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In recent years, Human Activity Recognition (HAR) has become one of the most important research topics in the domains of health and human-machine interaction. Many Artificial intelligence-based models are developed for activity recognition; however, these algorithms fail to extract spatial and temporal features due to which they show poor performance on real-world long-term HAR. Furthermore, in literature, a limited number of datasets are publicly available for physical activities recognition that contains less number of activities. Considering these limitations, we develop a hybrid model by i

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Bertin, Mathieu, Nicolas Schweighofer, and Kenji Doya. "Multiple model-based reinforcement learning explains dopamine neuronal activity." Neural Networks 20, no. 6 (2007): 668–75. http://dx.doi.org/10.1016/j.neunet.2007.04.028.

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Lia, Ade, Gunawan, Jaka Wijaya Kusuma, and Rafika Asri Herawati. "IMPROVEMENT OF STUDENT LEARNING ACTIVITY AND LEARNING ACHIEVEMENT USING THE PROBLEM-BASED LEARNING MODEL." International Journal of Multidisciplinary Research and Literature 3, no. 4 (2024): 428–35. https://doi.org/10.53067/ijomral.v3i4.240.

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The research aims to improve the aspects of student learning activity and learning achievement using a problem-based learning model. This research is a collaborative Classroom Action Research (PTK). The subjects of this study are all grade IV students of SD Negeri 1 Dwuhan Kulon. The research was conducted in three cycles. During the learning process, observation of learning activity is carried out and at the end of each cycle, a test is carried out to determine the student's learning achievement. The data collection technique in this study uses tests, observation sheets, and documentation. Th

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Putri, Zunia Norviana Barokah Isdaryanti, and Dining Tyastuti Hayuk. "Peningkatan Hasil Belajar Matematika Materi Pengurangan melalui Model Problem Based Learning Berbantuan Media Takberperang (Kotak Berhitung Pengurangan) pada Siswa Kelas IA SDN Sampangan 02 Semarang." Madani: Jurnal Ilmiah Multidisiplin 1, no. 6 (2023): 282–92. https://doi.org/10.5281/zenodo.8121383.

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<em>The background of this research found several problems including the use of learning models that were less varied, causing the learning outcomes of some students in mathematics to be low. In addition, the learning media used are less innovative. The purpose of this study was to improve learning outcomes and mathematics learning activities on subtraction material through the Problem Based Learning model assisted by Takberperang media (Subtraction Counting Box) in class IA students at SDN Sampangan 02 Semarang. The type of research used is collaborative Classroom Action Research (PTK) which

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Opoku, Samuel King. "Artificial Neural Network Context-Aware Reasoning Engine Model for Predicting User-Ranked Activities." European Journal of Electrical Engineering and Computer Science 5, no. 6 (2021): 36–42. http://dx.doi.org/10.24018/ejece.2021.5.6.377.

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The choice of users’ activity in a context-aware environment depends on users’ preferences and background. Users tend to rank concurrent activities and select their preferred activity. Researchers and developers of context-aware applications have sought various mechanisms to implement context reasoning engines. Recent implementations use Artificial Neural Networks (ANN) and other machine learning techniques to develop a context-aware reasoning engine to predict users’ activities. However, the complexities of these mechanisms overwhelm the processing capabilities and storage capacity of mobile

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Subna, M. P., and N. Kamalraj. "Hybrid Deep Learning-Based Human Activity Recognition Enhanced by YOLOv8 and Data Augmentation on MHealth and WISDM Datasets." Indian Journal Of Science And Technology 18, no. 23 (2025): 1849–61. https://doi.org/10.17485/ijst/v18i23.870.

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Objectives: To propose an advanced Human Activity Recognition Framework to classify complex human activities with high accuracy and computational efficiency by integrating hybrid deep learning and optimization techniques. The model helps to build a robust system capable of maintaining high performance across diverse user behaviours and heterogeneous sensor modalities. Methods: Hybrid deep learning YOLOv8 extracts rapid spatial features from image and video frames. Vision Transformer (ViT) enhances the classification depth and captures long-range dependencies and global context. To ensure optim

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Alharbey, Rania A., and Faisal Jamil. "Federated Learning Framework for Real-Time Activity and Context Monitoring Using Edge Devices." Sensors 25, no. 4 (2025): 1266. https://doi.org/10.3390/s25041266.

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With the increasing need for effective elderly care solutions, this paper presents a novel federated learning-based system that uses smartphones as edge devices to monitor and enhance elderly care in real-time. In this system, elderly individuals carry smartphones equipped with Inertial Measurement Unit (IMU) sensors, including an accelerometer for activity recognition, a barometer for altitude detection, and a combination of the accelerometer, gyrometer, and magnetometer for location tracking. The smartphones continuously collect real-time data as the elderly individuals go about their daily

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Talnikar, Vaishnavi, Girish Lakhekar, and Hrishikesh Jadhav. "COMPARATIVE STUDY OF DEEP LEARNING MODELS FOR HUMAN ACTIVITY RECOGNITION." International Journal of Advanced Research 13, no. 07 (2025): 90–97. https://doi.org/10.21474/ijar01/21271.

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Human Activity Recognition (HAR) using wearable sensor data is a cornerstone of mobile health and context- aware computing. While deep learning has significantly advanced HAR accuracy the computational demands of complex architectures often conflict with the limited resources of edge devices like smartphones and wearables . This creates a critical trade off between predictive performance and practical deployability. This paper presents a systematic comparative analysis of five distinct deep learning architectures: a baseline Multi-Layer Perceptron (MLP), a 1D Convolutional Neural Network (1D-C

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Revathi, A., R. Kaladevi, A. Gayathri, and A. Manju. "Customized Learning Model Using Learner Activity Analysis." Webology 18, Special Issue 04 (2021): 607–18. http://dx.doi.org/10.14704/web/v18si04/web18152.

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Reshaping education with knowledge and skills is the major objective of many of the developing organization to build competitive knowledge economy. Electronic learning, also popularly known as e-learning is one of the most effective applications of Information and Communication Technology (ICT), which refurbishes the dimension in higher education. COVID-19 pandemic situation justifies the need and real utilization of E-learning. Existing E-learning system provides static content to all learners irrespective of their learning needs. In this paper we propose to create Dynamic Role based access c

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Nurhamidah, Ririn. "USE OF PROBLEM BASED LEARNING MODELS TO IMPROVE STUDENT LEARNING OUTCOMES AT SD NEGERI 1 BUMIRATU." Journal of Learning on History and Social Sciences 1, no. 6 (2024): 69–77. https://doi.org/10.61796/ejlhss.v1i6.664.

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This research activity is based on low mathematics learning outcomes. There were only 8 students who completed the KKM score, namely 65 out of 20 students. The aim of this research is to see the increase in students' grades at SD Negeri 1 Bumiratu. The type of research used is Classroom Action Research, in this research there are 2 cycles, each cycle has four stages, namely planning, action, observation and reflection. The model applied to improve student learning outcomes in this research is the Problem Based Learning model. The Problem Based Learning model is a learning model that encourages

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Khairani, Rifki Nomizar, and A. K. Prodjosantoso. "Application of Discovery Learning Model Based on Blended Learning to Activities and Learning Outcomes." Jurnal Penelitian Pendidikan IPA 9, no. 10 (2023): 8974–81. http://dx.doi.org/10.29303/jppipa.v9i10.4402.

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This study aims to apply the Discovery Learning learning model based on Blended Learning to students' chemistry learning activities and outcomes. This research was conducted at SMA Negeri 5 Bengkulu City using the Classroom Action Research method. The implementation is carried out to find out problems in the learning process and steps that teachers can use to improve the quality of learning during the COVID-19 pandemic. The data collection technique in this study was a observation, interview, and test. The research shows that the activity and student learning outcomes increased, where the resu

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Zaguia, Atef, Darine Ameyed, MohamedAmime Haddar, Omar Cheikhrouhou, and Habib Hamam. "Cognitive IoT-Based e-Learning System: Enabling Context-Aware Remote Schooling during the Pandemic." Journal of Healthcare Engineering 2021 (August 31, 2021): 1–12. http://dx.doi.org/10.1155/2021/7358874.

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The 2019–2020 coronavirus pandemic had far-reaching consequences beyond the spread of the disease and efforts to cure it. Today, it is obvious that the pandemic devastated key sectors ranging from health to economy, culture, and education. As far as education is concerned, one direct result of the spread of the pandemic was the resort to suspending traditional in-person classroom courses and relying on remote learning and homeschooling instead, by exploiting e-learning technologies, but many challenges are faced by these technologies. Most of these challenges are centered around the efficiency

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Winarsih, Sri. "Implementasi Model Paikem Dan Model Pembelajaran Berbasis Masalah Sebagai Upaya Meningkatkan Prestasi Belajar Fiqih." LITERASI (Jurnal Ilmu Pendidikan) 6, no. 1 (2016): 37. http://dx.doi.org/10.21927/literasi.2015.6(1).37-59.

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Abstract Learning is a process of two-way communication, the teaching is done by the teacher, while the study carried out by Student. In learning, teachers must understand the essence of the subject matter taught as a lesson that can develop students ‘ability to think and understand the various models of learning that can stimulate students’ ability to learn with careful planning by Teacher. Learning teaching is an activity designed by the teacher to help someone learn a capability or the new value in a systematic process mealui stages of design, implementation, and evaluation in the context o

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Guo, De Feng, Bin Liu, Xiao Tian Jin, and Hong Jian Liu. "Human Activity Recognition Using Smart-Phone Sensors." Applied Mechanics and Materials 571-572 (June 2014): 1019–29. http://dx.doi.org/10.4028/www.scientific.net/amm.571-572.1019.

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Activity recognition is a challenging problem for context-aware systems and applications. Many studies in this field has mainly adopted techniques based on supervised or semi-supervised learning algorithms to recognize activities by movement patterns gathered through sensors, but these existing systems suffer from complex issues for feature representations of sensor data and multi-sensors integration. In this paper, we propose a novel feature learning method for activity recognition based on entropy and construct an activity recognition model with multi-class AdaBoost algorithm. Experiments on

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Brunel, Nicolas. "Hebbian Learning of Context in Recurrent Neural Networks." Neural Computation 8, no. 8 (1996): 1677–710. http://dx.doi.org/10.1162/neco.1996.8.8.1677.

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Single electrode recordings in the inferotemporal cortex of monkeys during delayed visual memory tasks provide evidence for attractor dynamics in the observed region. The persistent elevated delay activities could be internal representations of features of the learned visual stimuli shown to the monkey during training. When uncorrelated stimuli are presented during training in a fixed sequence, these experiments display significant correlations between the internal representations. Recently a simple model of attractor neural network has reproduced quantitatively the measured correlations. An u

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Erkan, Er, Gómez-Sánchez Eduardo, Dimitriadis Yannis, L. Bote-Lorenzo Miguel, I. Asensio-Pérez Juan, and Álvarez Álvarez Susana. "Aligning learning design and learning analytics through instructor involvement: a MOOC case study." Interactive Learning Environments 27, no. 5-6 (2019): 685–98. https://doi.org/10.1080/10494820.2019.1610455.

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With the emergence of MOOCs, there is a growing interest in prediction re-search. Most existing predictive models do not consider the context for which they are intended, thus resulting in limited impact. Learning design (LD) can provide a contextual understanding for the design of predictive models in collaboration with the instructors, maximizing their potential for supporting learning. This paper presents the findings of a mixed-methods research that explored the potentials emerging from aligning LD and LA during the design of a predictive analytics solution and from involving the instructo

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Anoir Lamya, Zargane Kawtar, Erradi Mohamed, and Khaldi Mohamed. "Personalization of an educational scenario of a learning activity according to the learning styles model David Kolb." Global Journal of Engineering and Technology Advances 5, no. 3 (2020): 099–108. http://dx.doi.org/10.30574/gjeta.2020.5.3.0114.

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The personalization of learning remains a very important subject in research particularly with the progression of technology, it refers to a pedagogical approach that is located in an intermediate space where teaching and learning come together with devices personalized and adapted training courses for the different learner profiles in a social learning context. We offer a general approach to the personalization of teaching scenarios during the different types of teaching activities and taking consideration the learning styles of the learners and based on the Kolb learning style model. Our res

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