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Zhang, Jia-Hua; Zou, Liu-cong; Miao, Jia-jia; Zhang, Ye-Xing; Hwang, Gwo-Jen; Zhu, Yue – Interactive Learning Environments, 2020
Extensive studies have been conducted to diagnose and predict students' academic performance by analyzing a large amount of data related to their learning behaviors in a blended learning environment. But there is a lack of research examining how individualized learning interventions could improve students' academic performance in such a learning…
Descriptors: Individualized Instruction, Academic Achievement, Interaction, Blended Learning
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Chaloupský, David; Chaloupská, Pavlína; Hrušová, Dagmar – Interactive Learning Environments, 2021
The research focuses on learning methods that address individual differences, motivation and training goals in fitness running. The aim was to examine the possibilities of use of fitness trackers in smart phones for fitness running lessons. The core of the study was to design and implement an innovative blended learning model to individualize the…
Descriptors: Foreign Countries, Physical Education, Health Related Fitness, Measurement Equipment
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Fell Kurban, Caroline – Interactive Learning Environments, 2019
Evidence shows flipped learning increases academic performance and student satisfaction. Yet, often practitioners flip instruction but keep traditional curricula and assessment. Assessment in higher education is often via written exams. But these provide limited feedback and do not ask students to put knowledge into practice. This does not support…
Descriptors: Blended Learning, Teacher Education, Student Satisfaction, Learner Engagement