论文标题
适用于智能辅导系统的AI驱动界面设计可改善学生的参与度
AI-Driven Interface Design for Intelligent Tutoring System Improves Student Engagement
论文作者
论文摘要
智能辅导系统（ITS）已被证明可以通过提供一个个性化课程来满足每个学生的个人需求，从而改善学生的学习成果。但是，尽管其为学生的学习过程带来了有效性和效率，但其研究中的大多数研究都努力设计其界面，从而通过更好地利用AI功能来促进学生对学习，动机和参与的兴趣。在本文中，我们探索了AI驱动的设计，以描述学生解决问题的过程的诊断反馈的界面，并研究其对参与的影响。我们提出了几种由不同的AI组件供电的接口设计，并通过Active Mobile ITS Santa进行了经验评估它们对学生参与的影响。对野外20k学生进行的受控A/B测试表明，AI驱动的界面设计将参与因素提高了25.13％。
An Intelligent Tutoring System (ITS) has been shown to improve students' learning outcomes by providing a personalized curriculum that addresses individual needs of every student. However, despite the effectiveness and efficiency that ITS brings to students' learning process, most of the studies in ITS research have conducted less effort to design the interface of ITS that promotes students' interest in learning, motivation and engagement by making better use of AI features. In this paper, we explore AI-driven design for the interface of ITS describing diagnostic feedback for students' problem-solving process and investigate its impacts on their engagement. We propose several interface designs powered by different AI components and empirically evaluate their impacts on student engagement through Santa, an active mobile ITS. Controlled A/B tests conducted on more than 20K students in the wild show that AI-driven interface design improves the factors of engagement by up to 25.13%.
