Data-Driven Worked Examples Improve Retention and Completion in a Logic Tutor

被引:7
|
作者
Mostafavi, Behrooz [1 ]
Zhou, Guojing [1 ]
Lynch, Collin [1 ]
Chi, Min [1 ]
Barnes, Tiffany [1 ]
机构
[1] N Carolina State Univ, Dept Comp Sci, Raleigh, NC 27695 USA
基金
美国国家科学基金会;
关键词
Worked examples; Data-driven; Problem-solving;
D O I
10.1007/978-3-319-19773-9_102
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Research shows that expert-crafted worked examples can have a positive effect on student performance. To investigate the potential for data-driven worked examples to achieve similar results, we generated worked examples for the Deep Thought logic tutor, and conducted an experiment to assess their impact on performance. Students who received data-driven worked examples were much more likely to complete the tutor, and completed the tutor in less time. This study demonstrates that worked examples, automatically generated from student data, can be used to improve student learning in tutoring systems.
引用
收藏
页码:726 / 729
页数:4
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