Effects of Error-Based Simulation as a Counterexample for Correcting MIF Misconception

Lecture Notes in Computer Science Volume 10331 Page 90-101 published_at 2017
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Title ( eng )
Effects of Error-Based Simulation as a Counterexample for Correcting MIF Misconception
Creator
Shinohara Tomoya
Yamada Atsushi
Horiguchi Tomoya
Source Title
Lecture Notes in Computer Science
Volume 10331
Start Page 90
End Page 101
Abstract
MIF (Motion Implies a Force) misconception is commonly observed in elementary mechanics learning where students think some force is applied to moving objects. This paper reports a practical use of Error-based Simulation (EBS) for correcting students’ MIF misconceptions in a junior high school and a technical college. EBS is a method to generate a phenomenon by using stu-dents’ erroneous idea (e.g., if a student thinks forward force applied to a skater traveling straight on ice at a constant velocity, EBS shows the skater acceler-ates). Such a phenomenon is supposed to work as a counterexample to students’ misconception. In the practice, students first worked on pre-test of five prob-lems (called ‘learning task’), in each of which they drew all the forces applied to objects in a mechanical situation. They then worked on the same problems on system where EBSs were shown based on their answer. They last worked on post-test of the previous plus four new problems (called ‘transfer task’). As a result, in both schools, the numbers of MIF-answers (the erroneous answers supposed due to MIF misconception) in learning task decreased significantly between pre-test and post-test. Effect sizes of the decrease of MIF-answers were larger than that of other erroneous answers. Additionally, the percentages of MIF-answers to the whole erroneous answers in transfer task were much lower than those in learning task. These results suggest learning with EBS not only has the effect on the resolution of MIF misconception, but also promoted the correction of errors in conceptual level.
Keywords
Mechanics
MIF misconception
Error-based Simulation
Counter-example
Practical use
Descriptions
'Artificial Intelligence in Education' 18th International Conference, AIED 2017, Wuhan, China, June 28 – July 1, 2017, Proceedings
NDC
Education [ 370 ]
Language
eng
Resource Type conference paper
Publisher
Springer
Date of Issued 2017
Rights
The final authenticated version is available online at https://doi.org/10.1007/978-3-319-61425-0_8.
This is not the published version. Please cite only the published version. この論文は出版社版でありません。引用の際には出版社版をご確認ご利用ください。
Publish Type Author’s Original
Access Rights open access
Source Identifier
[ISSN] 0302-9743
[ISSN] 1611-3349
[ISBN] 978-3-319-61424-3
[ISBN] 978-3-319-61425-0
[DOI] 10.1007/978-3-319-61425-0_8