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https://repository.isls.org//handle/1/6752
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DC Field | Value | Language |
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dc.contributor.author | Cottone, Amanda | |
dc.contributor.author | Yoon, Susan | |
dc.contributor.author | Shim, Jooeun | |
dc.contributor.author | Coulter, Bob | |
dc.contributor.author | Carman, Stacey | |
dc.date.accessioned | 2020-07-08T23:53:47Z | |
dc.date.accessioned | 2020-07-09T04:32:11Z | - |
dc.date.available | 2020-07-08T23:53:47Z | |
dc.date.available | 2020-07-09T04:32:11Z | - |
dc.date.issued | 2020-06 | |
dc.identifier.citation | Cottone, A., Yoon, S., Shim, J., Coulter, B., & Carman, S. (2020). Investigating the Development of Data Literacy Through Apt Epistemic Performance with Elementary School Students. In Gresalfi, M. and Horn, I. S. (Eds.), The Interdisciplinarity of the Learning Sciences, 14th International Conference of the Learning Sciences (ICLS) 2020, Volume 2 (pp. 763-764). Nashville, Tennessee: International Society of the Learning Sciences. | en_US |
dc.identifier.uri | https://doi.dx.org/10.22318/icls2020.763 | |
dc.identifier.uri | https://repository.isls.org//handle/1/6752 | - |
dc.description.abstract | This research investigates how and in what ways elementary students’ epistemic performance (EP) in working with data could be characterized. We used a framework that articulates the cognitive processes students use to evaluate data generated from investigations of a dynamic garden ecosystem simulation. The results illustrate greater abilities in some aspects of EP compared to others. We discuss their implications for teaching practice and future research to promote the development of students’ EP. | en_US |
dc.language.iso | en | en_US |
dc.publisher | International Society of the Learning Sciences (ISLS) | en_US |
dc.subject | Learning and Identity | en_US |
dc.title | Investigating the Development of Data Literacy Through Apt Epistemic Performance with Elementary School Students | en_US |
dc.type | Poster | en_US |
Appears in Collections: | ICLS 2020 |
Files in This Item:
File | Size | Format | |
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763-764.pdf | 162.88 kB | Adobe PDF | View/Open |
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