Adaptive user displays for intelligent tutoring software

被引:4
|
作者
Beal, CR [1 ]
机构
[1] Univ So Calif, Inst Informat Sci, Intelligent Syst Div, Viterbi Sch Engn, Marina Del Rey, CA 90292 USA
来源
CYBERPSYCHOLOGY & BEHAVIOR | 2004年 / 7卷 / 06期
关键词
D O I
10.1089/cpb.2004.7.689
中图分类号
G2 [信息与知识传播];
学科分类号
05 ; 0503 ;
摘要
Intelligent tutoring software (ITS) holds great promise for K-12 instruction. Yet it is difficult to obtain rich information about users that can be used in realistic educational delivery settings-public school classrooms-in which eye tracking and other user sensing technologies are not suitable. We are pursuing three "cheap and cheerful" strategies to meet this challenge in the context of an ITS for high school math instruction. First, we use detailed representations of student cognitive skills, including tasks to assess individual users' proficiency with abstract reasoning, proficiency with simple math facts and computational skill, and spatial ability Second, we are using data mining and machine learning algorithms to identify instructional sequences that have been effective with previous students, and to use these patterns to make decisions about current students. Third, we are integrating a simple focus-of-attention tracking system into the software, using inexpensive, web cameras. This coarse-grained information can be used to time the display of multimedia hints, explanations, and examples when the user is actually looking at the screen, and to diagnose causes of problem-solving errors. The ultimate goal is to create non-intrusive software that can adapt the display of instructional information in real time to the user's cognitive strengths, motivation, and attention.
引用
收藏
页码:689 / 693
页数:5
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