Exploring Adaptive Strategies for Providing Learning Activities

被引:1
|
作者
Chen, Xingliang [1 ]
Mitrovic, Antonija [1 ]
Mathews, Moffat [1 ]
机构
[1] Univ Canterbury, Intelligent Comp Tutoring Grp, Christchurch, New Zealand
关键词
Worked Examples; Erroneous Examples; Problem Solving; Adaptive Learning; Adaptive Strategy; SQL-Tutor; Intelligent Tutoring System; WORKED EXAMPLES; PRINCIPLES; EXPERTISE; IMPROVE;
D O I
10.1145/3209219.3209221
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Research shows that Worked Examples (WE) and Erroneous Examples (ErrEx) provide learning benefits, particularly when presented alternatively with problems to solve. We previously proposed an adaptive strategy for selecting WE, ErrEx, and Problem Solving (PS) adaptively based on the student's problem solving score and found that the adaptive strategy was beneficial for students in comparison to learning from a fixed sequence of alternating WE/PS pairs and ErrEx/PS pairs [1]. Students who received learning activities adaptively achieved the same learning outcomes as their peers in a fixed condition, but with fewer learning activities [2]. In this paper, we investigate a different adaptive strategy, which provides WEs and ErrExs to novices, and ErrEx and PS to advanced students. We found that the original adaptive strategy [2] is more effective than the new adaptive strategy. Furthermore, both novices and advanced students who learned with the original adaptive strategy demonstrated better performance on the post-test.
引用
收藏
页码:139 / 145
页数:7
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