Examining the Realities and Nuances of ‘Low-stakes’ Interest-Driven Learning Environments
Examining the Realities and Nuances of ‘Low-stakes’ Interest-Driven Learning Environments
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检查“低风险”兴趣驱动学习环境的现实和细微差别
DOI：
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发表时间：
2022
期刊：
影响因子：
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通讯作者：
Marcelo Worsley
中科院分区：
文献类型：
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作者：
Marcelo Worsley
开发低风险且对个人有意义的计算机科学体验的努力正在为扩大计算机科学的参与创造新的机会。这些机会越来越多地出现在不同的环境中，并扩大了引入和维持学生参与计算的可能性。然而，虽然这些经验往往是吸引新参与者和新参与形式的有效途径，但我们必须小心，不要忽视这些经验对学习者来说可能是多么的“高风险”。为了探索这种紧张关系，本文描述了两个案例研究的学生从事编码和计算思维与Minecraft教育版。第一个案例研究涉及一个7岁的黑人和拉丁裔女孩，当她的计算机程序破坏了她的项目的重要部分时，她经历了巨大的挫折。第二个来自一个拉丁裔男孩，他避免使用Minecraft EDU中的编码功能，因为担心代码可能无法正常工作。在这些案例研究的基础上，本文建议该领域采取措施，以确保与低风险和高风险相关的语言和行动反映学习者的看法，我们设计的学习经验，适当地反映这种细微差别。
The push to develop low-stakes and personally meaningful computer science experiences is creating novel opportunities to broaden participation in CS. These opportunities have become increasingly present across contexts and have expanded the possibilities for introducing and sustaining student participation in computing. However, while these experiences tend to be effective ways for engaging new participants and new forms of participation, we must be careful to not overlook how ’high-stakes’ these experiences might be for learners. To explore this tension, this paper describes two case studies of students engaging in coding and computational thinking with Minecraft Education Edition. The first case study involves a 7-year-old Black and Latina girl who experiences significant frustration when her computer program destroys significant portions of her project. The second is from a Latino boy who avoids using the coding capabilities in Minecraft EDU out of fear that the code might not work properly. Building on these case studies, this paper suggests that the field take steps to ensure that the language and actions associated with low-stakes and high-stakes are reflective of learner perceptions, and that we design learning experiences that appropriately reflect this nuance.
Minecraft 作为分析和实践空间推理的生成平台
DOI：
10.1007/978-3-030-57983-8_22
发表时间：
2020
期刊：
Spatial Cognition XII. Spatial Cognition 2020. Lecture Notes in Computer Science
影响因子：
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作者：
Andrus, B.;Bar-El, D.;Msall, C.;Uttal, D.;Worsley, M.
通讯作者：
Worsley, M.