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https://repository.isls.org//handle/1/6543
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DC Field | Value | Language |
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dc.contributor.author | Su, Man | |
dc.contributor.author | Cho, J.Yohan | |
dc.contributor.author | Vanbibber, Brandon | |
dc.contributor.author | Ha, Jesse | |
dc.contributor.author | Chi, Michelene | |
dc.date.accessioned | 2020-07-08T23:53:49Z | |
dc.date.accessioned | 2020-07-09T04:30:21Z | - |
dc.date.available | 2020-07-08T23:53:49Z | |
dc.date.available | 2020-07-09T04:30:21Z | - |
dc.date.issued | 2020-06 | |
dc.identifier.citation | Su, M., Cho, J., Vanbibber, B., Ha, J., & Chi, M. (2020). Diagnosis of Misconceptions with Coherent Underlying Structure in Learning Diffusion. In Gresalfi, M. and Horn, I. S. (Eds.), The Interdisciplinarity of the Learning Sciences, 14th International Conference of the Learning Sciences (ICLS) 2020, Volume 4 (pp. 2321-2324). Nashville, Tennessee: International Society of the Learning Sciences. | en_US |
dc.identifier.uri | https://doi.dx.org/10.22318/icls2020.2321 | |
dc.identifier.uri | https://repository.isls.org//handle/1/6543 | - |
dc.description.abstract | This classroom study, involving 149 high school students, investigates structure, coherence and frequencies of misconceptions students have while learning diffusion via a simulation. The results show that misconceptions are not random ideas, but rather have underlying structures and can be systematically characterized by the PAIR-C framework, which aims to help students understand the nature of emergent processes embedded in their school curricula. The article concludes with a discussion of implications to foster deeper understanding of misconceptions from a systematic, structured perspective. | en_US |
dc.language.iso | en | en_US |
dc.publisher | International Society of the Learning Sciences (ISLS) | en_US |
dc.subject | Teaching and Teacher Learning | en_US |
dc.title | Diagnosis of Misconceptions with Coherent Underlying Structure in Learning Diffusion | en_US |
dc.type | Short Paper | en_US |
Appears in Collections: | ICLS 2020 |
Files in This Item:
File | Size | Format | |
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2321-2324.pdf | 366.7 kB | Adobe PDF | View/Open |
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