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Horiguchi, Tomoya; Hirashima, Tsukasa; Hayashi, Yusuke – Journal of Computer Assisted Learning, 2023
Background: In learning mechanics, students often believe that "force is exerted on moving objects." As this misconception called "motion implies a force" (MIF) is difficult to correct, various teaching methods have been proposed, such as showing refutational/explanatory text (Palmer & Flanagan, 1997; Takagaki, 2004),…
Descriptors: Scientific Concepts, Misconceptions, Concept Formation, Instructional Effectiveness
Fischer, Julian; Machts, Nils; Bruckermann, Till; Möller, Jens; Harms, Ute – Journal of Computer Assisted Learning, 2022
Background: The professional knowledge of pre-service teachers is highly important for effective and successful teaching. In recent years, many research groups have been engaged in developing simulated classroom environments to capture especially the pedagogical knowledge (PK) of pre-service teachers, neglecting the content-related facets of…
Descriptors: Preservice Teachers, Preservice Teacher Education, Biology, Pedagogical Content Knowledge
Liu, T.-C.; Lin, Y.-C.; Kinshuk – Journal of Computer Assisted Learning, 2010
Simulation-based computer assisted learning (CAL) is recommended to help students understand important statistical concepts, although the current systems are still far from ideal. Simulation-Assisted Learning Statistics (SALS) is a simulation-based CAL that is developed with a learning model that is based on cognitive conflict theory to correct…
Descriptors: Experimental Groups, Computer Assisted Instruction, Lecture Method, Misconceptions
Li, S. C.; Law, N.; Lui, K. F. A. – Journal of Computer Assisted Learning, 2006
While simulations have widely been used to facilitate conceptual change in learning science, results indicate that significant disparity or gap between students' prior conceptions and scientific conceptions still exists. To bridge the gap, we argue that the applications of computer simulation in science education should be broadened to enable…
Descriptors: Computer Simulation, Science Education, Concept Formation, Models