The Efectiveness of Using Interactive Learning Media in Enhancing Learning Motivation and Science Literacy of 6th Grade Elementary School Student on the Topic of World Continents by Efi Tasfiyatul Millah, Dede Trie Kurniawan, Yunus Abidin

“…This research was conducted on 6th-grade students at SDN Tenjolaya 1. The research results show that the use of interactive learning media increases student enthusiasm in the learning process by observing an increase in student engagement and participation in learning. …”
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Discovery Learning Based Practicum Learning in Improving Critical Thinking Skill and Student Creativity by Firdiawan Ekaputra, Sri Widarwati

“…Memorization activities in learning make students' critical thinking skills and creativity unable to develop. …”
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Distilling knowledge from graph neural networks trained on cell graphs to non-neural student models by Vasundhara Acharya, Bülent Yener, Gillian Beamer

“…Furthermore, we demonstrated that student models do not need to be neural networks. …”
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Innovative teaching methods in physical fitness education: integrating technology and gamification to improve student engagement-a systematic review by Djajati Mariana Lolowang, Fadli Ihsan, Nolfie Piri, Eduard Emor Kumenap, Fredrik Alfrets Makadada

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Student review of innovations in quantum technologies. Part 5 by Wojciech Buchwald, Maciej Scheffer, Kamil Kośnik, Aleksander Topolewski, Jan Klimas, Jan Mrozowski, Hubert Pogorzelski, Małgorzata Dulikowska, Aleksander Przyborek, Patryk Konwa, Ryszard Romaniuk

“…We have to excuse the students if the proposed solutions are not ripe enough. …”
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Implementation of Buya Hamka's Thoughts on Student Discipline Character Building in the Era of Society 5.0 by Rahmad Rahmad, Yeni Karneli, Sufyarma Marsidin

“…The application of these values can improve student discipline and form strong characters, who are not only academically intelligent, but also responsible and moral. …”
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Problems of Sexual Morality in the Consciousness of Modern Student Youth by M. E. Kudryavtseva

“…In the empirical part of the study, 130 students of St. Petersburg universities were interviewed. …”
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Reflective Practice: Adult Student Engagement in Character Education by Samuel Beaumont

“…Given the unique characteristics associated with non-traditional students, three main challenges are outlined: (1) students matriculate at varying levels of academic readiness and moral development, (2) there is low student engagement rate in character education, and (3) there is limited time for ethical instruction in a full academic curriculum and busy student lives. …”
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SIMULATION TRAINING IN MEDICAL STUDENT PREPARATION by Oleg V. Zinchenko, Alla A. Muravyeva, Oksana V. Vladimirova

Subjects: “…professional skills of a medical student…”
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A health and wellness transformation programme to ensure optimal student performance and well-being within ICE environments by Juanita Jonker, Ryk Lues

“…Journal of Student Affairs in Africa…”
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The Effect of Campus Facility Quality, Facility Accessibility, Facility Maintenance, and Service Support of STIE Ciputra Makassar on Student Satisfaction Using the SERVQUAL and SOR (Stimulus-Organism-Response) Approaches by Christian Philetas Liem, Vivian Wong, Andisva Fridy Fathiar, Monalisa

“…Data was collected from STIE Ciputra Makassar students through questionnaires and analyzed using descriptive statistics. …”
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Reimagining Flipped Learning via Bloom’s Taxonomy and Student–Teacher–GenAI Interactions by Paul Kwan, Rajan Kadel, Tayab D. Memon, Saad S. Hashmi

“…Furthermore, our model articulates the synergies between the three key actors: interactions between students and teachers, learning support provided by GenAI to students, and use of GenAI by teachers to enhance their teaching strategies. …”
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Factors Associated with Nursing Student Satisfaction with Their Clinical Learning Environment at Wolkite University in Southwest Ethiopia by Ayana Benti Terefe, Tolesa Gemeda Gudeta

“…This study was carried out in March 2022 on 208 student nurses selected by purposive and convenient sampling techniques. …”
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A novel AI-driven model for student dropout risk analysis with explainable AI insights by Sumaya Mustofa, Yousuf Rayhan Emon, Sajib Bin Mamun, Shabnur Anonna Akhy, Md Taimur Ahad

“…Moreover, selecting significant features contributing to student dropout and non-dropout is also very important in developing a model. …”
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Student perceptions of place and belonging in online courses by Bryan Orthel, Dana Vaux, Michael Langlais

“…Sense of place in learning environments supports students’ identity, belonging, and success. Online learning environments present unique conditions as students engage with others from distinct physical locations through shared virtual interfaces. …”
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Revaluation of Student Failure Reasons Using Non-Additive Methods by Baghdad Science Journal

“…In this paper, An application of non-additive measures for re-evaluating the degree of importance of some student failure reasons has been discussed. We apply non-additive fuzzy integral model (Sugeno, Shilkret and Choquet) integrals for some expected factors which effect student examination performance for different students' cases.…”
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Beyond the Game: Exploring the Interplay of Career Thoughts, Career Adaptability, and Athletic Identity in Shaping Postgraduation Paths for Student Athletes by Ryan Sides, Debra S. Osborn, Ivey Walker, Jacob Stamm, Bobbi Villarreal

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Developing Assessment for Learning-Oriented Worksheets to Improve Student Learning Outcomes in Thermochemistry by Adib Al Aisy, Muchlis Muchlis

Subjects: “…student worksheet…”
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Student intention to use MUVEs: An integrated model of technology acceptance and learning engagement theories by Feng Zhang, Gege Li, Heng Luo

“…Based on these findings, this study provides implications for optimizing the design and implementation of MUVEs in higher education from the perspectives of teachers, students, and platform developers.…”
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A Random Forest-Based Predictive Model for Student Academic Performance: A Case Study in Indonesian Public High Schools by Rifa Andriani Saputri, Asrianda Asrianda, Lidya Rosnita

“…Testing on 136 test samples achieved an accuracy of 87.40%, with 111 correct predictions, 16 false positives, and 0 false negatives, demonstrating the model's reliability in identifying high-achieving students without missing potential. This research is expected to assist schools in identifying outstanding students, making data-driven decisions, and designing more effective educational strategies.…”
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