Compute-to-Learn: Authentic Learning via Development of Interactive Computer Demonstrations within a Peer-Led Studio Environment
| Autor: | Blair A. Winograd, Kyle L. Williams, Michael Lenard, Alicia Rae Welden, Mina Jafari, Amy C. Gottfried, Heidi P. Hendrickson, Ellen Mulvihill, Eitan Geva |
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| Rok vydání: | 2017 |
| Předmět: |
Cooperative learning
Multimedia 05 social sciences Educational technology 050301 education General Chemistry Personalized learning 010402 general chemistry computer.software_genre 01 natural sciences Experiential learning 0104 chemical sciences Education Meaningful learning Undergraduate research Active learning ComputingMilieux_COMPUTERSANDEDUCATION Mathematics education Learning theory 0503 education computer |
| Zdroj: | Journal of Chemical Education. 94:1896-1903 |
| ISSN: | 1938-1328 0021-9584 |
| DOI: | 10.1021/acs.jchemed.7b00032 |
| Popis: | In this paper, we report on the implementation of a novel compute-to-learn pedagogy, which is based upon the theories of situated cognition and meaningful learning. The compute-to-learn pedagogy is designed to simulate an authentic research experience as part of the undergraduate curriculum, including project development, teamwork, peer review, and publication. The compute-to-learn pedagogy was piloted during the Fall 2015 semester within a one-semester, peer-led honors studio environment that uses active learning strategies to encourage cooperation and collaboration among students as they learn how to program. The rationale behind the pedagogy, lessons learned, and adjustments made based on three iterations of its execution, and its initial assessment through end-of-semester interviews are discussed. |
| Databáze: | OpenAIRE |
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