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Creators/Authors contains: "Alozie, Nonye"

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  1. ; ; ; ; ; ; (, International Society of the Learning Sciences)
    Computational 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. 
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  2. ; ; ; ; ; ; ; (, International Society of the Learning Sciences)
    Computational models (CMs) offer pre-college students opportunities to integrate STEM disciplines with computational thinking (CT) 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 help broaden participation in computing and reduce the potentially prohibitive demands of learning programming, we propose alternate versions of computational modeling that require low or no programming. These versions rely on code comprehension and evaluation of given code and simulations instead of code creation. We present results from a pilot study that explores student engagement with CT practices and student challenges in three types of computational modeling activities. 
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  3. ; ; (, Proceedings of the Ninth ACM Conference on Learning @ Scale (L@S '22))
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  4. ; ; ; ; (, Journal of Pre-College Engineering Education Research (J-PEER))
    null (Ed.)
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