Evaluation Methods for Intelligent Tutoring Systems Revisited

被引:27
作者
Greer, Jim [1 ]
Mark, Mary [2 ]
机构
[1] Univ Saskatchewan, Dept Comp Sci, ARIES Laboraty, Saskatoon, SK S7N 0W0, Canada
[2] Chem Heritage Fdn, Philadelphia, PA USA
来源
INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE IN EDUCATION | 2016年 / 26卷 / 01期
关键词
Evaluation methods; Intelligent tutoring systems; Adaptive learning environments;
D O I
10.1007/s40593-015-0043-2
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
The 1993 paper in IJAIED on evaluation methods for Intelligent Tutoring Systems (ITS) still holds up well today. Basic evaluation techniques described in that paper remain in use. Approaches such as kappa scores, simulated learners and learning curves are refinements on past evaluation techniques. New approaches have also arisen, in part because of increases in the speed, storage capacity and connectivity of computers over the past 20 years. This has made possible techniques in crowd sourcing, propensity-score matching, educational data mining and learning analytics. This short paper outlines some of these approaches.
引用
收藏
页码:387 / 392
页数:6
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