Agent-in-the-Loop: Conversational Agent Support in Service of Reflection for Learning During Collaborative Programming

Agent-in-the-Loop: Conversational Agent Support in Service of Reflection for Learning During Collaborative Programming
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DOI:
10.1007/978-3-030-52240-7_50
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发表时间:
2020-06-10
期刊:
Artificial Intelligence in Education
影响因子:
--
通讯作者:
Rosé C
Rosé C
中科院分区:
其他
文献类型:
--
作者:
Sankaranarayanan S;Kandimalla SR;Hasan S;An H;Bogart C;Murray RC;Hilton M;Sakr M;Rosé C

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在先前的研究中,基于动态会话代理的协作学习支持对无支持或静态支持控制条件下的学习具有显着的积极影响。为了理解人类主导和人工智能主导的协作支持之间的界限,我们在本研究中比较了一种方法,其中代理的主要作用是帮助学生调节自己的协作,两种更典型的提示策略仅在反思阶段使用:一个是为反思提供一个具体的信息焦点,另一个是为了引出评估,阐述,和对其他观点的探索当使用任何一种激励策略时,都可以观察到对学习的显著积极影响,而不仅仅是以人为主导的支持形式。
Dynamic conversational agent-based support for collaborative learning has shown significant positive effects on learning over no-support or static-support control conditions in prior studies. In order to understand the boundary between human-led and AI-led support for collaboration, we compare in this study an approach where the agent’s primary role is to help students regulate their own collaboration with two more typical prompting strategies that are used only during a reflection phase: one designed to provide a specific informational focus for the reflection, and the other designed to draw out evaluation, elaboration, and exploration of alternative perspectives. Significant positive effects on learning over and above just the human-led form of support are observed when either of the prompting strategies are used.
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