When Optimal Team Formation Is a Choice - Self-selection Versus Intelligent Team Formation Strategies in a Large Online Project-Based Course
When Optimal Team Formation Is a Choice - Self-selection Versus Intelligent Team Formation Strategies in a Large Online Project-Based Course
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DOI：
10.1007/978-3-319-93843-1_38
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发表时间：
2018-06
期刊：
影响因子：
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通讯作者：
Sreecharan Sankaranarayanan;Cameron Dashti;C. Bogart;Xu Wang;M. Sakr;C. Rosé
中科院分区：
文献类型：
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作者：
Sreecharan Sankaranarayanan;Cameron Dashti;C. Bogart;Xu Wang;M. Sakr;C. Rosé
基于团队的大规模开放式在线项目课程（TB-MOOP）的先前研究已经证明了有效的团队组成的重要性以及使用自动化方法形成有效团队的潜力。过去关于自动化团队分配的工作既有惊人的失败，也有惊人的成功。在这两种情况下，不同的情况会带来特殊的挑战，可能会干扰在其他情况下取得成功的方法的适用性。本文报告了一个案例研究调查的适用性，自动化的团队分配方法，成功地在TB-MOOP的背景下，一个大型的在线项目为基础的课程。分析提供了部分成功的范例，以及对增长领域的见解的证据。
Prior research in Team-Based Massive Open Online Project courses (TB-MOOPs) has demonstrated both the importance of effective group composition and the potential for using automated methods for forming effective teams. Past work on automated team assignment has produced both spectacular failures and spectacular successes. In either case, different contexts pose particular challenges that may interfere with the applicability of approaches that have succeeded in other contexts. This paper reports on a case study investigating the applicability of an automated team assignment approach that has succeeded spectacularly in TB-MOOP contexts to a large online project-based course. The analysis offers both evidence of partial success of the paradigm as well as insights into areas for growth.