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Julius Moritz Meier; Peter Hesse; Stephan Abele; Alexander Renkl; Inga Glogger-Frey – Journal of Computer Assisted Learning, 2024
Background: In example-based learning, examples are often combined with generative activities, such as comparative self-explanations of example cases. Comparisons induce heavy demands on working memory, especially in complex domains. Hence, only stronger learners may benefit from comparative self-explanations. While static text-based examples can…
Descriptors: Video Technology, Models, Cues, Problem Solving
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Slof, Bert; van Leeuwen, Anouschka; Janssen, Jeroen; Kirschner, Paul A. – Journal of Computer Assisted Learning, 2021
In computer-supported collaborative learning research, studies examining the combined effects of individual level, group level and within-group differences level measures on individual achievement are scarce. The current study addressed this by examining whether individual, group and within-group differences regarding engagement and prior…
Descriptors: Cooperative Learning, Prior Learning, Secondary School Students, Academic Achievement
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Richter, Juliane; Lachner, Andreas; Jacob, Leonie; Bilgenroth, Friederike; Scheiter, Katharina – Journal of Computer Assisted Learning, 2022
Background: Engaging students in computer-assisted guided inquiry learning has great potential to scaffold their scientific understanding: Students are expected to improve their scientific problem-solving skills, and at the same time gain a deep conceptual understanding of the subject-matter. Additional generative activities such as creating video…
Descriptors: Self Concept, Problem Solving, Video Technology, Computer Assisted Instruction
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Lin, Yu-Ren – Journal of Computer Assisted Learning, 2018
The present study defined three levels of contextualized media and investigated their influences on students' science attitudes, comprehension, and argumentation. To achieve the purpose, an online game-based science argumentation (OGSA) program was developed for the experiments (N = 148). The OGSA included three versions for student argumentation…
Descriptors: Computer Games, Science Instruction, Persuasive Discourse, Prior Learning
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ter Vrugte, J.; de Jong, T.; Wouters, P.; Vandercruysse, S.; Elen, J.; van Oostendorp, H. – Journal of Computer Assisted Learning, 2015
The present study addressed the effectiveness of an educational math game for improving proportional reasoning in prevocational education, and examined the added value of support in the form of reflection. The study compared four conditions: the game with reflection prompts, the game with reflection prompts plus procedural information, the game…
Descriptors: Mathematics Education, Prompting, Prior Learning, Instructional Effectiveness
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Hooshyar, D.; Ahmad, R. B.; Yousefi, M.; Yusop, F. D.; Horng, S.-J. – Journal of Computer Assisted Learning, 2015
Intelligent tutoring and personalization are considered as the two most important factors in the research of learning systems and environments. An effective tool that can be used to improve problem-solving ability is an Intelligent Tutoring System which is capable of mimicking a human tutor's actions in implementing a one-to-one personalized and…
Descriptors: Flow Charts, Intelligent Tutoring Systems, Educational Technology, Teaching Methods
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Salminen, T.; Marttunen, M.; Laurinen, L. – Journal of Computer Assisted Learning, 2010
This study investigates whether combining chat discussion and construction of an argument diagram stimulates students to formulate new ideas in practising argumentation. In this study, 16 secondary school students discussed vivisection and gender equality in pairs using both free and structured chat tools. In structured chat, the students selected…
Descriptors: Persuasive Discourse, Prior Learning, Secondary School Students, Visual Aids