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dc.contributor.authorMcElhaney, Kevin W.
dc.contributor.authorBasu, Satabdi
dc.contributor.authorAlozie, Nonye
dc.contributor.authorHutchins, Nicole
dc.contributor.authorRachmatullah, Arif
dc.contributor.authorMills, Kelly
dc.contributor.authorBiswas, Gautam
dc.date.accessioned2024-06-10T05:52:58Z-
dc.date.available2024-06-10T01:44:11Z
dc.date.available2024-06-10T05:52:58Z-
dc.date.issued2024
dc.identifier.citationMcElhaney, K. W., Basu, S., Alozie, N., Hutchins, N., Rachmatullah, A., Mills, K., & Biswas, G. (2024). Broadening Participation in STEM-based Computational Modeling by Leveraging Alternatives to Programming. In Lindgren, R., Asino, T. I., Kyza, E. A., Looi, C. K., Keifert, D. T., & Suárez, E. (Eds.), Proceedings of the 18th International Conference of the Learning Sciences - ICLS 2024 (pp. 2325-2326). International Society of the Learning Sciences.en
dc.identifier.urihttps://doi.org/10.22318/icls2024.467572
dc.identifier.urihttps://repository.isls.org//handle/1/10998-
dc.descriptionPosteren
dc.description.abstractComputational models (CMs) offer pre-college students opportunities to integrate STEM disciplines with computational thinking in ways that reflect authentic STEM practice. However, not all STEM teachers and students are prepared to teach or learn programming skills required to construct CMs. To broaden participation in computing, we propose instructional approaches that integrate STEM with CMs without requiring students to program, thereby alleviating challenges associated with learning how to program.en
dc.publisherInternational Society of the Learning Sciences
dc.relation.ispartofurn:ISBN:979-8-9906980-0-0
dc.relation.ispartofProceedings of the 18th International Conference of the Learning Sciences - ICLS 2024, pp. 2325-2326
dc.subjectLearning Sciencesen
dc.titleBroadening Participation in STEM-based Computational Modeling by Leveraging Alternatives to Programmingen
dc.typeconferencePaper
dc.identifier.doi10.22318/icls2024.467572
Appears in Collections:ISLS Annual Meeting 2024

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