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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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Pijeira-Díaz, H.J.; Drachsler, H.; Kirschner, P.A.; Järvelä, S. – Journal of Computer Assisted Learning, 2018
Low arousal states (especially boredom) have been shown to be more deleterious to learning than high arousal states, though the latter have received much more attention (e.g., test anxiety, confusion, and frustration). Aiming at profiling arousal in the classroom (how active students are) and examining how activation levels relate to achievement,…
Descriptors: Profiles, Science Instruction, Grades (Scholastic), Correlation
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Erbas, Cagdas; Demirer, Veysel – Journal of Computer Assisted Learning, 2019
This study aimed to investigate the effects of augmented reality (AR) activities on students' academic achievement and motivation in a biology course. For this purpose, a mixed study was conducted, and a pretest and posttest control group model was used. In addition, the opinions of the experimental group students and the teacher about the AR…
Descriptors: Biology, Science Instruction, Teaching Methods, Science Achievement
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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