Towards Adaptive Worked-Out Examples in an Intelligent Tutoring System

被引：0

作者：

Green, Nicholas ^{[1
]}

Di Eugenio, Barbara ^{[1
]}

Fossati, Davide ^{[2
]}

机构：

[1] Univ Illinois, Chicago, IL 60607 USA

[2] Emory Univ, Atlanta, GA 30322 USA

来源：

ARTIFICIAL INTELLIGENCE IN EDUCATION, AIED 2019, PT II | 2019年 / 11626卷

关键词：

Worked out examples; Intelligent tutoring; Computer Science education;

D O I：

10.1007/978-3-030-23207-8_18

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Worked-out examples (WOEs) have been shown to be effective for learning, but they need to be adapted to student characteristics. We experimented with three versions of our Intelligent Tutoring System for Computer Science, one that does not include WOEs, and two that differ as concerns WOE length and content. We found that shorter WOEs are more effective for advanced students, whereas novice students learned the same, no matter the presence or length of the WOE.

引用

页码：94 / 99

页数：6

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