NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 6 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
Dersch, Anna-Sophia; Renkl, Alexander; Eitel, Alexander – Journal of Computer Assisted Learning, 2022
Background: Previous research has shown that teachers hold misconceptions about multimedia learning (e.g., multimedia instruction needs to be adapted to students' learning styles), which may be at odds with evidence-based teaching. Objectives: Refutation texts are a classical method to reduce misconceptions and thus to stimulate conceptual change.…
Descriptors: Teacher Attitudes, Misconceptions, Attitude Change, Persuasive Discourse
Peer reviewed Peer reviewed
Direct linkDirect link
Yang, Der-Ching; Sianturi, Iwan Andi J. – Journal of Computer Assisted Learning, 2019
When solving a mathematical problem, students who do not have sufficient conceptual understanding may perform poorly and exhibit misconceptions. This study was aimed to examine students' conceptual understanding and significant misconceptions when solving number sense-related problems. An online three-tier diagnostic test was administered to 125…
Descriptors: Concept Formation, Diagnostic Tests, Misconceptions, Problem Solving
Peer reviewed Peer reviewed
Niedderer, H.; And Others – Journal of Computer Assisted Learning, 1991
Described is how an iconic model building software can be used to help students gain a deeper qualitative conceptual understanding of physics concepts. The program, STELLA, links research about misconceptions and new teaching strategies with the use of modern information technology tools. (31 references) (KR)
Descriptors: Computer Assisted Instruction, Concept Formation, Learning Strategies, Misconceptions
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Brna, P. – Journal of Computer Assisted Learning, 1991
A methodology for confronting students with the inconsistencies entailed by their own beliefs is outlined. This methodology is illustrated using the dynamics domain of physics and a computer modeling program, DYNALAB. (KR)
Descriptors: Case Studies, Cognitive Development, Computer Assisted Instruction, Concept Formation