Question Personalization in an Intelligent Tutoring System

被引：0

作者：

Elkins, Sabina ^{[1
,2
,3
]}

Kochmar, Ekaterina ^{[3
,4
]}

Belfer, Robert ^{[3
]}

Serban, Iulian ^{[3
]}

Cheung, Jackie C. K. ^{[1
,2
,5
]}

机构：

[1] McGill Univ, Montreal, PQ, Canada

[2] MILA Quebec Artificial Intelligence Inst, Montreal, PQ, Canada

[3] Korbit Technol Inc, Quebec City, PQ, Canada

[4] Univ Bath, Bath, Avon, England

[5] Canada CIFAR AI Chair, Quebec City, PQ, Canada

来源：

ARTIFICIAL INTELLIGENCE IN EDUCATION: POSTERS AND LATE BREAKING RESULTS, WORKSHOPS AND TUTORIALS, INDUSTRY AND INNOVATION TRACKS, PRACTITIONERS AND DOCTORAL CONSORTIUM, PT II | 2022年 / 13356卷

关键词：

Intelligent tutoring system; Dialogue-based tutoring system; Personalized learning;

D O I：

10.1007/978-3-031-11647-6_121

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：586 / 590

页数：5

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