当前位置: X-MOL 学术arXiv.cs.CY › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
AI-Driven Interface Design for Intelligent Tutoring System Improves Student Engagement
arXiv - CS - Computers and Society Pub Date : 2020-09-18 , DOI: arxiv-2009.08976
Byungsoo Kim, Hongseok Suh, Jaewe Heo, Youngduck Choi

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%.

中文翻译:

人工智能驱动的智能辅导系统界面设计提高学生参与度

智能辅导系统 (ITS) 已被证明可以通过提供满足每个学生个性化需求的个性化课程来提高学生的学习成果。然而,尽管ITS为学生的学习过程带来了有效性和效率,但ITS研究中的大多数研究都较少努力设计ITS界面,通过更好地利用AI来提高学生的学习兴趣,动机和参与度特征。在本文中,我们探索了 ITS 界面的人工智能驱动设计,描述了学生解决问题过程的诊断反馈,并调查了其对他们参与的影响。我们提出了几种由不同 AI 组件驱动的界面设计,并通过主动移动 ITS 的 Santa 凭经验评估它们对学生参与的影响。
更新日期:2020-09-22
down
wechat
bug