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Mefferd, Kyle Castro; Bernacki, Matthew L. – Journal of Science Education and Technology, 2023
Digital environments like learning management systems can afford opportunities for students to engage in cognitive learning strategies including preparatory reading of advance organizers including lecture outlines and self-testing using ungraded quizzes. When timed appropriately, self-testing can afford distributed practice, an optimal approach to…
Descriptors: Undergraduate Students, Science Education, Cognitive Processes, Academic Achievement
Na Li; Xiaojun Zhang; Maria Limniou; Youmin Xi – Interactive Learning Environments, 2024
Despite the high expectation of virtual learning environments (VLEs) to accelerate meaningful educational innovations for more interactive learning and teaching, resistance to changes exists, and innovations are fading over time. How to promote widespread and steady adoption of VLE enabled innovations remains an open question. This study uses…
Descriptors: Electronic Learning, Virtual Classrooms, Learning Management Systems, Educational Innovation
Gi-cheol Kim; Rachel Gurvitch – Quest, 2024
Although educators in the field of kinesiology implement online education in various forms, online education rarely receives attention in literature. The purpose of this study is to explore online courses in the subject matter of kinesiology through the community of inquiry framework. This mixed-method study adopted a multiple case study approach…
Descriptors: Kinesiology, Electronic Learning, Instructional Effectiveness, Learning Management Systems
Li, Yue; Jiang, Qiang; Xiong, Weiyan; Zhao, Wei – Education and Information Technologies, 2023
One of the recognized ways to enhance teaching and learning is having insights into the behavior patterns of students. Studies that explore behavior patterns in online self-directed learning (OSDL) are scant though. In addition, the focus is lacking on how high-achieving (HA) students' behavior patterns affect the academic performance of…
Descriptors: Student Behavior, Behavior Patterns, Electronic Learning, Online Courses
Cheng, Yung-Ming – Interactive Technology and Smart Education, 2023
Purpose: The purpose of this study is to propose a hybrid model integrating the expectation-confirmation model with the views of cognitive absorption (CA) theory and updated DeLone and McLean information system success model to examine whether quality factors as antecedents to medical professionals' beliefs can affect their continuance intention…
Descriptors: Cognitive Processes, Electronic Learning, Expectation, Health Personnel
Gordon Matthew; Koos De Villiers – Journal of Educational Multimedia and Hypermedia, 2022
COVID-19 has forced many higher education institutions to move from face-to-face teaching and learning to an e-learning environment. Many institutions had already started to implement blended learning strategies, but lecturers with limited knowledge of multimedia learning could not keep up with the pace. Multimedia learning can enhance learning,…
Descriptors: Learning Management Systems, Electronic Learning, Multimedia Instruction, COVID-19
C. M. Rathnayaka; J. Ganapathi; S. Kickbusch; L. Dawes; R. Brown – European Journal of Engineering Education, 2024
Laboratory learning forms a significant and integral part of engineering education, wherein students develop technical, collaborative, enquiry, and observation skills that go beyond theoretical studies. Engineering is inherently a practice-based profession, and consequently, laboratory work has been inseparable for engineering curricula. However,…
Descriptors: Educational Resources, Laboratories, Electronic Learning, Engineering Education