对大型计算机科学课程的持续学生反馈进行评估

E. Kaila, Erno Lokkila
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引用次数: 1

摘要

“在这篇文章中,我们介绍了一门有460名参与者的计算机科学课程,其中特别关注学生的反馈和双向沟通。这个为期7周的课程是一个在线课程,有自动评估的练习。每周,学生们都会回答一份关于他们的学习经历、课程难度程度和课程活动时间的简短调查。他们还被要求回答三个开放性问题,包括他们学到了什么,还有什么不清楚的,以及他们将如何改进内容。对所有七周的定量和定性反馈数据进行分析。此外,我们通过观察学生在课程中取得的最终成绩来分析学生的表现。从结果来看,参与度与最终成绩之间似乎存在正相关关系。此外,基于持续反馈动态修改飞行过程似乎是一种有益的机制。令人惊讶的是,教师们也不觉得这太辛苦。最后,我们为其他教育工作者提供了有效利用持续反馈的经验和建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
EVALUATION OF CONTINUOUS STUDENT FEEDBACK ON A LARGE COMPUTER SCIENCE COURSE
"In this article, we present a computer science course with 460 participants, where special interest was directed towards student feedback and two-way communication. The 7-week course was organized as an online course with automatically assessed exercises. Each week, the students answered a short survey about their learning experience, course difficulty level, and time spent on course activities. They were also asked to answer three open questions about what they had learned, what remains unclear and how would they improve the content. Quantitative and qualitative feedback data were analyzed for all seven weeks. In addition, we analyzed the student performance by observing the final grades obtained from the course. Based on the results, it seems that there is a positive correlation between engagement and final grades. Moreover, dynamically modifying the course on the fly based on continuous feedback seems to be a beneficial mechanism. Surprisingly, the teaching staff did not find it too laborious either. Finally, we provide experiences and suggestions for other educators for utilizing continuous feedback effectively."
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