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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
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Žanko, Žana; Mladenovic, Monika; Krpan, Divna – Journal of Computer Assisted Learning, 2022
Background and Context: Most studies about programming misconceptions are conducted at the undergraduate and graduate levels. Since the age level for starting learning programming is getting lower, there is a need for determining programming misconceptions for younger learners. Objective: Our goal is to determine programming misconceptions and…
Descriptors: Programming, Misconceptions, Grade 5, Elementary School Students
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Christina Areizaga Barbieri; Brianna L. Devlin – Journal of Computer Assisted Learning, 2024
Background: Providing students with worked out problem solutions is a beneficial instructional technique in STEM disciplines, and studying examples that have been worked out incorrectly may be especially helpful for reducing misconceptions in students with low prior content knowledge. However, past results are inconclusive and the effects of…
Descriptors: STEM Education, Misconceptions, Fractions, Error Patterns
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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
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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