论文标题
智能辅导系统中的个性化问题
Question Personalization in an Intelligent Tutoring System
论文作者
论文摘要
本文研究了智能辅导系统（ITS）领域的个性化。我们假设以问题的方式进行个性化可以改善学生的学习成果。先前关于基于对话的个性化的工作尚未解决问题。我们表明，使用域专家编写的变体和实验性A/B测试，生成适合不同学科学生的问题的版本可以改善学生的学习收益。这种见解表明，问题的语言意识影响了学生的学习成果。
This paper investigates personalization in the field of intelligent tutoring systems (ITS). We hypothesize that personalization in the way questions are asked improves student learning outcomes. Previous work on dialogue-based ITS personalization has yet to address question phrasing. We show that generating versions of the questions suitable for students at different levels of subject proficiency improves student learning gains, using variants written by a domain expert and an experimental A/B test. This insight demonstrates that the linguistic realization of questions in an ITS affects the learning outcomes for students.
