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Using an Adaptive Learning Tool to Improve Student Performance and Satisfaction in Online and Face-To-Face Education for a More Personalized Approach
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Monica F. Contrino; Maribell Reyes-Millán; Patricia Vázquez-Villegas; Jorge Membrillo-Hernández – Smart Learning Environments, 2024
It is becoming increasingly clear that not all students require the same education, and the requirement of personalized education is increasingly in demand. The incorporation of adaptive learning (AL) has increased in recent years. However, research on this subject is still evolving at the university level. In this study, we investigated the…
Descriptors: Individualized Instruction, Academic Achievement, Student Satisfaction, Online Courses
Do Personal Recommendations Need to Be Personalized? Investigating the Relationships between Student Differences and Educational Recommendations
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Yiling Dai; Heinz Ulrich Hoppe; Brendan Flanagan; Kyosuke Takami; Hiroaki Ogata – Smart Learning Environments, 2024
Educational recommender systems have been supporting personalized learning in various ways. However, less discussion is conducted about whether and how to personalize the strategies to generate recommendations based on student differences. In this study, we aim at investigating how students judge recommendations based on different strategies, and…
Descriptors: Foreign Countries, High School Students, Student Characteristics, Individual Differences
Taking into Account Students' Psychotypes and Using Their Neuropsychological Maps When Implementing Digital Educational Technologies within the Metaverse
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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