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When Optimal Team Formation Is a Choice - Self-selection Versus Intelligent Team Formation Strategies in a Large Online Project-Based Course

机译:当最佳团队形成是一种选择 - 基于大型在线项目的课程中的自我选择与智能团队形成策略

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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.
机译:在基于团队的大规模开放的在线项目课程(TB-MOOPS)之前的研究表明了有效群体组成的重要性以及利用自动化方法形成有效球队的可能性。过去的自动团队任务的工作已经产生了壮观的失败和壮观的成功。在任何一种情况下,不同的上下文都构成了可能干扰在其他环境中成功的方法的适用性的特殊挑战。本文报告了一个案例研究,调查自动团队分配方法的适用性,该方法在TB-MoOP背景下取得了壮观的基于在线项目的课程。分析提供了局部地成功的证据,以及进入增长领域的见解。

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