Item type |
デフォルトアイテムタイプ_(フル)(1) |
公開日 |
2023-03-18 |
タイトル |
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タイトル |
Effects of Error-Based Simulation as a Counterexample for Correcting MIF Misconception |
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言語 |
en |
作成者 |
Hirashima, Tsukasa
Shinohara, Tomoya
Yamada, Atsushi
Hayashi, Yusuke
Horiguchi, Tomoya
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アクセス権 |
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アクセス権 |
open access |
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アクセス権URI |
http://purl.org/coar/access_right/c_abf2 |
権利情報 |
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権利情報 |
The final authenticated version is available online at https://doi.org/10.1007/978-3-319-61425-0_8. |
権利情報 |
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権利情報 |
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。 |
主題 |
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主題Scheme |
Other |
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主題 |
Mechanics |
主題 |
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主題Scheme |
Other |
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主題 |
MIF misconception |
主題 |
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主題Scheme |
Other |
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主題 |
Error-based Simulation |
主題 |
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主題Scheme |
Other |
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主題 |
Counter-example |
主題 |
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主題Scheme |
Other |
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主題 |
Practical use |
主題 |
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主題Scheme |
NDC |
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主題 |
370 |
内容記述 |
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内容記述 |
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. |
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言語 |
en |
内容記述 |
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内容記述タイプ |
Other |
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内容記述 |
'Artificial Intelligence in Education' 18th International Conference, AIED 2017, Wuhan, China, June 28 – July 1, 2017, Proceedings |
出版者 |
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出版者 |
Springer |
言語 |
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言語 |
eng |
資源タイプ |
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資源タイプ識別子 |
http://purl.org/coar/resource_type/c_5794 |
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資源タイプ |
conference paper |
出版タイプ |
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出版タイプ |
AO |
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出版タイプResource |
http://purl.org/coar/version/c_b1a7d7d4d402bcce |
関連情報 |
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識別子タイプ |
ISBN |
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関連識別子 |
978-3-319-61424-3 |
関連情報 |
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識別子タイプ |
ISBN |
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関連識別子 |
978-3-319-61425-0 |
関連情報 |
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識別子タイプ |
DOI |
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関連識別子 |
10.1007/978-3-319-61425-0_8 |
収録物識別子 |
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収録物識別子タイプ |
ISSN |
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収録物識別子 |
0302-9743 |
収録物識別子 |
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収録物識別子タイプ |
ISSN |
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収録物識別子 |
1611-3349 |
開始ページ |
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開始ページ |
90 |
書誌情報 |
Lecture Notes in Computer Science
Lecture Notes in Computer Science
巻 10331,
p. 90-101,
発行日 2017
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旧ID |
46327 |