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Zhe Wang; Sara Abercrombie; Rachel Wong; Yuxin Ren; Shiting Dai – Journal of Computer Assisted Learning, 2024
Background: There are two major types of pictures that have been the focus of multimedia learning research, namely, seductive and interpretational pictures. Despite an increasing body of literature documenting the effects of either seductive or interpretational pictures added to text-based materials, there is a paucity of research explicitly…
Descriptors: Electronic Learning, Computers, Computer Assisted Instruction, Visual Aids
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Lu Ding; Meehyun Yoon; Dongho Kim – Journal of Computer Assisted Learning, 2024
Background: While the effectiveness of tutoring-style videos has been reported in previous studies conducted in laboratories, how these types of videos facilitate students' learning experiences and achievement has not been much explored in prior studies, which prevents discussion on how to design such tutoring-style videos. Objectives: In this…
Descriptors: Tutoring, Video Technology, Computer Assisted Instruction, Teaching Methods
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Parong, Jocelyn; Mayer, Richard E. – Journal of Computer Assisted Learning, 2021
As immersive virtual reality (IVR) systems proliferate in classrooms, it is important to understand how they affect learning outcomes and the underlying affective and cognitive processes that may cause these outcomes. Proponents argue that IVR could improve learning by increasing positive affective and cognitive processing, thereby supporting…
Descriptors: Virtual Classrooms, Cognitive Processes, Affective Behavior, Comparative Analysis
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Brasier, Daniel J.; Melville, Michael; Hershock, Chad; Rule, Gordon – Journal of Computer Assisted Learning, 2019
In this study, we investigated the optimal placement of animations and practice and feedback exercises with respect to each other and to static text and graphics in an online DNA replication module. We randomly assigned students in a first-semester introductory biology course for freshmen biology majors and nonmajors to one of four online modules…
Descriptors: Genetics, Introductory Courses, Biology, Science Instruction
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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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Kim, H. S.; Prevost, L.; Lemons, P. P. – Journal of Computer Assisted Learning, 2015
The understanding of core concepts and processes of science in solving problems is important to successful learning in biology. We have designed and developed a Web-based, self-directed tutorial program, "SOLVEIT," that provides various scaffolds (e.g., prompts, expert models, visual guidance) to help college students enhance their…
Descriptors: Biology, College Science, Scientific Concepts, Web Based Instruction
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Chang, K. E.; Sung, Y. T.; Chen, S. F. – Journal of Computer Assisted Learning, 2001
A computer-based concept mapping system was developed that provides two learning environments: "construct-by-self," where the system provides students with evaluation results and hints for feedback, and "construct-on-scaffold," where students also receive an incomplete concept map. The "construct-on-scaffold" had better effect for learning…
Descriptors: Biology, Comparative Analysis, Computer Assisted Instruction, Concept Mapping