PRIMM and Proper:利用 PeerWise 和 GitHub 在高校开展真实的入门编程调查

Steven Bradley, Anousheh Ramezani
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引用次数: 0

摘要

我们探讨了在高等教育编程入门课程中使用 PRIMM 方法(预测、运行、调查、修改、制作)的情况,尤其侧重于前三个步骤。学生们使用 PeerWise 系统,根据自己的调查,对 HTML、CSS 或 JavaScript 代码的更改效果提出形成性预测问题。通过向 GitHub 存储库提交拉取请求的方式,增强了任务的真实性,这与软件开发团队中的专业人员所遵循的代码审查流程如出一辙。我们报告了学生参与形成性实践练习的情况,并分析了他们所提问题的内容。
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PRIMM and Proper: Authentic Investigation in HE Introductory Programming with PeerWise and GitHub
We explore the use of the PRIMM methodology (Predict, Run, Investigate, Modify, Make) within a higher education introductory programming setting, particularly focusing on the three first three steps. Formative prediction questions on the effects of changes to HTML, CSS or JavaScript code are constructed by students using PeerWise system, based on their own investigation. Authenticity of the task is enhanced by presenting the peer prediction questions as pull requests to a GitHub repository, mirroring the code review process followed by professionals working within software development teams. We report on student engagement with the formative practical exercises and analyse the content of the questions they asked.
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