Recommending Remedial Learning Materials to Students by Filling Their Knowledge Gaps
Recommending Remedial Learning Materials to Students by Filling Their Knowledge Gaps
复制标题
向学生推荐补习学习材料，填补学生的知识空白
DOI：
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发表时间：
2018
期刊：
影响因子：
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通讯作者：
Alexander Tuzhilin
中科院分区：
文献类型：
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作者：
Konstantin Bauman;Alexander Tuzhilin
我们研究向学生提供建议以帮助他们学习的问题。为了解决这个问题，我们提出了一种方法，向学生提供补习学习材料的建议，以填补他们在所修课程中的学科知识空白。根据这种方法，我们首先确定学生对各种课程主题的掌握程度的差距。然后，我们从组装的学习材料库中识别出那些有助于我们填补这些空白的项目，并向学生推荐这些识别出的材料。我们通过 A/B 测试实证表明，这种方法会带来更好的表现结果，衡量标准是个性化组、非个性化组和对照组的学生期末考试的总分，以及与之前学习的课程相比学生在该考试中的平均分数的提高。所提出的方法是可扩展的，因为它可以应用于许多课程的大量学生。
We study the problem of providing recommendations to students that help them in their studies. To address this problem, we present an approach of providing recommendations of remedial learning materials to students that fill the gaps in their knowledge of the subject in the courses they take. According to this method, we first identify gaps in the student’s mastery of various course topics. We then identify those items from the library of assembled learning materials that help us to fill those gaps, and recommend these identified materials to the student. We show empirically through A/B testing that this approach leads to better performance results, as measured by a student’s total score on the final exam across the personalized, nonpersonalized, and control groups and by improvement of the student’s average score on that exam in comparison to previously taken courses. The proposed method is scalable since it can be applied to a large number of students across many courses.