MOOC中同伴推荐策略的比较

François Bouchet, Hugues Labarthe, K. Yacef, R. Bachelet
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引用次数: 17

摘要

缺乏社会关系已被证明是大规模在线开放课程(MOOCs)流失的一个重要因素。因此,帮助学生与其他学生联系是缓解这一现象的一个有希望的解决方案。我们之前的研究表明,在MOOC中嵌入同行推荐人对学生参与MOOC产生了积极影响,在此基础上,我们在本文中比较了三种不同的同行推荐人的影响:一种基于社会人口统计学标准,一种基于MOOC当前的进展,最后一种提供随机推荐。我们报告了我们的结果和分析(N = 2025名学生),表明基于社会人口统计学的推荐人的影响略好于随机推荐人。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparing Peer Recommendation Strategies in a MOOC
Lack of social relationship has been shown to be an important contribution factor for attrition in Massive Open Online Courses (MOOCs). Helping students to connect with other students is therefore a promising solution to alleviate this phenomenon. Following up on our previous research showing that embedding a peer recommender in a MOOC had a positive impact on students' engagement in the MOOC, we compare in this paper the impact of three different peer recommenders: one based on socio-demographic criteria, one based on current progress made in the MOOC, and the last one providing random recommendations. We report our results and analysis (N = 2025 students), suggesting that the socio-demographic-based recommender had a slightly better impact than the random one.
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