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Aleyna Üzmez; Nurdan Kavakli Ulutas – Smart Learning Environments, 2024
The current study investigated university students' well-being during Emergency Remote Teaching (ERT) via EMPATHICS framework in the aftermath of an earthquake that struck the Eastern part of Türkiye. The study had a mixed-methods research design, where quantitative data were analyzed through descriptives of the participants' overall happiness…
Descriptors: College Students, Well Being, Natural Disasters, Psychological Patterns
Segun Michael Ojetunde; Umesh Ramnarain – Smart Learning Environments, 2025
Learning interaction patterns is key to the explanation of learning outcomes. Different studies have reported the relationship between classroom process variables and learning outcomes in a traditional classroom setting. However, the advent of robotics and its attendant student-robot interaction moderated by students' mathematical ability is yet…
Descriptors: Robotics, Technology Uses in Education, Mathematics Skills, Outcomes of Education
Said A. Salloum; Khaled Mohammad Alomari; Aseel M. Alfaisal; Rose A. Aljanada; Azza Basiouni – Smart Learning Environments, 2025
The integration of artificial intelligence in educational environments has the potential to revolutionize teaching and learning by enabling real-time analysis of students' emotions, which are crucial determinants of engagement, motivation, and learning outcomes. However, accurately detecting and responding to these emotions remains a significant…
Descriptors: Artificial Intelligence, Emotional Response, Psychological Patterns, Individualized Instruction
David Antonio Rosas; Natalia Padilla-Zea; Daniel Burgos – Smart Learning Environments, 2025
This paper advances in the understanding of motivation in terms of flow in groups from a physiological perspective. We use wearable devices to monitor the heart rate variation during a set of sessions of face-to-face STEAM project-based learning. By using Action Research with mixed-methods design, we observed a set of 28 students in real-world…
Descriptors: Modeling (Psychology), Physiology, STEM Education, Art Education
Galiya Ldokova; Svetlana Frumina; Suad Abdalkareem Alwaely – Smart Learning Environments, 2025
The aim of the study is to examine the influence of students' psychotypes on their learning using digital educational technologies within the Metaverse. In the course of the longitudinal experimental study, the results of the initial testing of 79 students during their undergraduate studies and the re-testing of 75 of these students during their…
Descriptors: Undergraduate Students, Graduate Students, Psychological Characteristics, Brain