QuizBot: A Dialogue-based Adaptive Learning System for Factual Knowledge
QuizBot: A Dialogue-based Adaptive Learning System for Factual Knowledge
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QuizBot：基于对话的事实知识自适应学习系统
DOI：
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发表时间：
2019
期刊：
影响因子：
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通讯作者：
J. Landay
中科院分区：
文献类型：
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作者：
S. Ruan;Liwei Jiang;Justin Xu;Bryce Joe;Zhengneng Qiu;Yeshuang Zhu;Elizabeth L. Murnane;E. Brunskill;J. Landay
对话式人工智能的进步有可能使教授事实知识的方法更具吸引力和有效性。为了研究这一假设，我们创建了QuizBot，这是一个基于对话的代理，可以帮助学生学习科学，安全和英语词汇方面的事实知识。我们通过两项学科内研究对76名学生进行了QuizBot评估，该研究针对的是一款抽认卡应用程序，这是学习事实知识的传统媒介。虽然这两个系统使用相同的算法来排序材料，但QuizBot导致学生认识到，（和回忆）比学生使用抽认卡应用程序时多出20%以上的正确答案。使用会话代理进行练习更耗时，但在第二项研究中，他们自愿，学生们花在QuizBot上的学习时间是用抽认卡的2.6倍，并且报告说他们更喜欢用它来进行休闲学习。我们在第二项研究中的结果表明，QuizBot在回忆方面比抽认卡有更好的学习效果。这些结果表明，教育聊天机器人系统可能具有有益的用途，特别是对于传统环境之外的学习。
Advances in conversational AI have the potential to enable more engaging and effective ways to teach factual knowledge. To investigate this hypothesis, we created QuizBot, a dialogue-based agent that helps students learn factual knowledge in science, safety, and English vocabulary. We evaluated QuizBot with 76 students through two within-subject studies against a flashcard app, the traditional medium for learning factual knowledge. Though both systems used the same algorithm for sequencing materials, QuizBot led to students recognizing (and recalling) over 20% more correct answers than when students used the flashcard app. Using a conversational agent is more time consuming to practice with, but in a second study, of their own volition, students spent 2.6x more time learning with QuizBot than with flashcards and reported preferring it strongly for casual learning. Our results in this second study showed QuizBot yielded improved learning gains over flashcards on recall. These results suggest that educational chatbot systems may have beneficial use, particularly for learning outside of traditional settings.