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Intelligent Conversational Agents as Facilitators and Coordinators for Group Work in Distributed Learning Environments (MOOCs)

机译:智能的会话代理作为分布式学习环境中集团工作的辅导员和协调员(MOOCS)

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Artificially intelligent conversational agents have been demonstrated to positively impact team based learning in classrooms and hold even greater potential for impact in the now widespread Massive Open Online Courses (MOOCs) if certain challenges can be overcome. These challenges include team formation, coordination and management of group processes in teams working together while distributed both in time and space. Our work begins with an architecture for orchestrating conversational agent based support for group learning called Bazaar, which has facilitated numerous successful studies of learning in the past including some early investigations in MOOC contexts. In this paper, we briefly describe our experience in designing, developing and deploying agent supported collaborative learning activities in 3 different MOOCs in three iterations. Findings from this iterative design process provide an empirical foundation for a reusable framework for facilitating similar activities in future MOOCs.
机译:人工智能的会话代理人已经证明了基于教室的基于团队的学习,如果可以克服某些挑战,那么在现在广泛的大规模开放的在线课程(MOOCS)中持续更大的影响。这些挑战包括团队的组建,协调和管理团队在何时在时间和空间分发。我们的工作始于以呼吁集团的基于集团学习的基于对话代理的架构,这促进了众多成功的学习研究,包括MOOC环境中的一些早期调查。在本文中,我们简要描述了我们在三个迭代中的3种不同MOOC的协作学习活动的设计,开发和部署代理人的经验。来自这种迭代设计过程的调查结果为可重复使用的框架提供了一种促进未来MOOCS类似活动的实证基础。

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