Experiences in automatic assessment on mass courses and issues for designing virtual courses

Experiences in automatic assessment on mass courses and issues for designing virtual courses
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大众课程自动评估经验及虚拟课程设计问题

DOI:
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发表时间:
2002
期刊:
Annual Conference on Innovation and Technology in Computer Science Education
影响因子:
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通讯作者:
Riku Saikkonen
Riku Saikkonen
中科院分区:
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文献类型:
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作者:
L. Malmi;A. Korhonen;Riku Saikkonen

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本文介绍了十年来在程序设计导论、数据结构和算法等大型课程中使用自动测评的一些经验。自动测评为群众课学生提供全天候即时反馈服务提供了一种有效方法。促进学习的一个非常重要的因素是在收到反馈后重新提交答案的可能性。然而,我们的经验表明,重新提交选择并不是唯一的关键动机因素。更重要的因素包括练习的挑战和评分标准或课程作业。所有这些的成功结合可以产生良好的学习效果。
In this paper, we present some experiences on using automatic assessment in large scale courses of introductory programming, data structures, and algorithms over a period of 10 years. Automatic assessment provides an effective method for giving immediate 24/7 feedback service for students of mass courses. A very important factor in the promoting of learning is the possibility to resubmit answers after receiving the feedback. However, our experience shows that the resubmission option is not the only key motivation factor. More important factors include the challenge of exercises and the grading scale or the course assignments. A successful combination of all of these can produce good learning results.