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Qian Huangfu; Qianmei He; Sisi Luo; Weilin Huang; Yahua Yang – Journal of Computer Assisted Learning, 2025
Background: Video lectures which include the teachers' presence have become increasingly common. As teacher enthusiasm is a nonverbal cue in video lectures, more and more studies are focusing on this topic. However, little research has been carried out on the interactions between teacher enthusiasm and prior knowledge when learning from video…
Descriptors: Chemistry, Science Instruction, Teacher Student Relationship, Teacher Response
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McKenna, Brigid A.; Kopittke, Peter M. – Journal of Computer Assisted Learning, 2018
Quantifying student engagement with online learning resources on virtual learning environments such as BlackBoard is important in understanding how these technologies enhance the student learning. In the present study, it was examined when, and how often, first-year students accessed lecture recordings, lecture slides, and lecture notes via…
Descriptors: Learner Engagement, Science Instruction, Natural Resources, Science Curriculum
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Thai, Ngoc Thuy Thi; De Wever, Bram; Valcke, Martin – Journal of Computer Assisted Learning, 2020
This study compares four learning environments: face-to-face learning (F2F), fully e-learning (EL), blended learning (BL), and flipped classroom (FC) with respect to students' learning performance. Moreover, this present research studies changes in perceived flexibility, intrinsic motivation, self-efficacy beliefs of students, and the interaction…
Descriptors: Blended Learning, Teaching Methods, Comparative Analysis, Self Efficacy
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Starbek, P.; Erjavec, M. Starcic; Peklaj, C. – Journal of Computer Assisted Learning, 2010
The main goal of this study was to explore whether the use of multimedia in genetics instruction contributes more to students' knowledge and comprehension than other instructional modes. We were also concerned with the influence of different instructional modes on the retention of knowledge and comprehension. In a quasi-experimental design, four…
Descriptors: Comprehension, Quasiexperimental Design, Prior Learning, Genetics