IMPROVING STUDENTS LEARNING OUTCOMES USING GROUP INVESTIGATION METHOD by Ivan Veriansyah, Ihsan Nurhakim, Pitalis Mawardi

“…This shows that the group investigation method is very effective in improving student learning outcomes because this model guide students to get involve in internalizing and reshaping information actively. …”
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Correlations Between Cognitive and Social Functioning of Schoolchildren: Study of Population Data Using methods of intellectual Analysis of heterogeneous Data by Leyla S. Namazova-Baranova, Georgiy A. Karkashadze, Elena A. Vishnyova, A. I. Molodchenko

“…The survey used a battery of tests to assess cognitive performance and a questionnaire of extracurricular activities which was completed by parents. The analysis was performed using clustering and machine learning methods. …”
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DDSUD: dynamically detecting subsequence uncertainty and diversity for active learning in imbalanced Chinese sentiment analysis by Shufeng Xiong, Yibo Si, Guipei Zhang, Bingkun Wang, Guang Zheng, Haiping Si

“…DDSUD combines subsequence uncertainty detection, diversity-driven sample selection, and dynamic weighting, enabling an adaptive balance between these factors throughout the active learning iterations. Experimental results show that DDSUD achieves performance close to fully supervised training schemes with only 50% of the data labeled, and outperforms other state-of-the-art active learning methods with the same amount of labeled data. …”
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Effect analysis of adding selective experiments in power electronics course to encourage students’ active learning by Guopeng Zhao

“…Abstract In order to meet the need for more experimental content for students with strong active learning ability and to solve the problem of students’ different needs for experimental content and depth, a teaching method of adding selective experiments is proposed in this study on the basis of basic experiments. …”
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Effect of Active Teaching and Learning on Students’ Reading Skills in Selected Secondary Schools of Sheema Municipality. by Atuheire, Janis

“…The objectives included examining the influence of active teaching and learning in these schools, identifying the types of reading skills used by students, and investigating teaching methods and their impact on students' English language reading skills. …”
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Hybrid deep learning enables multi-institutional delineation of active bone marrow for gynecologic radiotherapy by Zhe Zhang, Xiao Lu, Sicheng He, Tao Huang, Shaobin Wang, Mingjun Lu, Xiaomin Zhang, Zhibo Tan, John Moraros, Lei Zhang, Xin Li, Zhan Li, Zihao Deng, Yimeng Zhang, Mengjie Dong, Shuihua Wang, Yajie Liu

“…Using 18F-FDG PET/CT as a reference, we developed a deep learning method to detect hematopoietic active bone marrow (ABM) on CT in gynecologic cancer patients and assess clinical benefits. …”
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Effect of Implementing Flipped Classroom Method of Teaching Learning in Biochemistry on Student Learning and Student Perception about Flipped Classroom by AS Shilpasree, Ramyashree Vyas, Vidya S Patil, Srirang P Kulkarni

“…Flipped classroom can be regarded as a ‘student-centered approach to teaching and learning’ that emphasizes peer interaction, active learning, and in-depth understanding of topics in a group of students having diverse learning styles. …”
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A merged fuzzy system and neural network for improving management method and strategy in scientific research and education by Wentao Kang

“…Besides, improved activation functions and a novel management method were implemented in the education field, utilizing classification learners of neural network structures. …”
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LEARNING ENGLISH THROUGH THE INTEGRATION OF STUDENTS’ EDUCATIONAL-COGNITIVE AND SELF-EDUCATIONAL ACTIVITIES by Liliya A. Dmytruk

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Integrated multi-task feature learning and interactive active optimization for scene retargeting in preschool educational applications by Suhui Yao, Lan Lv

“…Experimental evaluations demonstrate that the proposed model not only surpasses five state-of-the-art methods in performance but also achieves a 3% improvement in accuracy compared to the next-best approach, all while reducing inference time by over 50%. …”
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Applying machine learning to decode built environment thresholds for public and active transport distances in the global south by Ali Shkera, Domokos Esztergár-Kiss

“…By integrating advanced ML methods with transportation policy analysis, this research bridges critical methodological and contextual gaps thus offering actionable insights for urban planners in high-density, transit-dependent cities worldwide.…”
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Job-Embedded Learning (JEL) and Monitoring and Evaluation Levelling (MEL): An Educator’s Aftermaths to Learning and Development Intervention (LDI) by Victorina Palanas

“…Mixed-Method Research Design was used to continually ensure the conduct of open-ended techniques, which contributed to the successful implementation of Learning and Development Intervention (LDI). …”
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Project-Based Learning in Initial Teacher Education: The Practice of Three Higher Education Institutions in Portugal by Tiago Tempera, Luís Tinoca

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Effects of cooperative learning on students’ learning outcomes in physical education: a meta-analysis by Hulusi Boke, Yalin Aygun, Sakir Tufekci, Fatma Hilal Yagin, Burak Canpolat, Goktug Norman, Pablo Prieto-González, Luca Paolo Ardigò

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Adaptive Learning Approach for Human Activity Recognition Using Data from Smartphone Sensors by Leonidas Sakalauskas, Ingrida Vaiciulyte

“…To create a self-learning method, a technique that involves building an incremental algorithm in a maximal likelihood framework has been developed. …”
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A Stability- and Aggregation-Based Method for Heart Rate Estimation Using Photoplethysmographic Signals During Physical Activity by Sabrina C. Crepaldi, Jiabin Wang, Fumiya Matsumoto, Hiroki Takeuchi, Tatsuhiko Watanabe, Yoshiharu Yamamoto

“…In recent years, the use of photoplethysmography (PPG)-based heart rate detection has gained considerable attention as a cost-effective alternative to conventional electrocardiography (ECG) for applications in healthcare and fitness tracking. Although deep learning methods have shown promise in heart rate estimation and motion artifact removal from PPG signals recorded during physical activity, their computational requirements and need for extensive training data make them less practical for real-world conditions when ground truth data is unavailable for calibration. …”
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Blended learning in English language teaching: A comparison with traditional methods and pedagogical implications by Lekić Jelena, Vešović Marija, Fijuljanin Fahreta

“…This paper analyzes the implementation of the blended learning approach in English language teaching, comparing it with traditional educational methods. …”
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Student teachers’ reflections of advantages, disadvantages, and learning related to lecturers' different pedagogical methods by Arne Sørensen, Pål Lagestad

“…The main results from the in-depth interview analyses showed that students identified both advantages and disadvantages in all methods. According to students' reflections, all methods contributed to learning, and a combination of lectures and practical activities produced especially good outcomes. …”
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TiAlNb alloy interatomic potentials: comparing passive and active machine learning techniques with MTP and DeePMD by Anju Chandran, Archa Santhosh, Claudio Pistidda, Paul Jerabek, Roland C. Aydin, Roland C. Aydin, Christian J. Cyron, Christian J. Cyron

“…In this work, we compare active and passive machine learning approaches for developing TiAlNb interatomic potentials using both deep potential molecular dynamics (DeePMD) and the moment tensor potential (MTP) methods. …”
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LOGICAL AND COMPETENCY APPROACH IN LEARNING SPORTS DISCIPLINES by Yury D. Ovchinnikov

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