Towards adaptive provision of examples during problem solving. (2019)
Intelligent Tutoring Systems (ITSs) are effective in supporting learning, as shown in numerous studies. The goal of our project is to develop an adaptive strategy that would be capable of identifying situations during problem solving in which the student would benefit from worked examples. As a first step towards developing such a strategy, we conducted a pilot study in the context of SQL-Tutor, a mature ITS that teaches database querying. The participant could ask for a worked example whenever he/she wanted during problems solving. After each example, the participant specified whether the example was useful, and whether additional examples were needed. Participants’ facial expressions and eye gaze were recorded. The findings show that the participants generally found examples useful, although in some cases they stated additional examples would be beneficial. The analysis of the eye gaze shows that students compared provided examples to their own solutions. Affect analysis shows that negative emotions reduced while engagement increased when participants viewed examples, and immediately after examples.
CitationTahir F, Mitrovic A, Sotardi V (2019). Towards adaptive provision of examples during problem solving. Kenting, Taiwan: 27th International Conference on Computers in Education. 02/12/2019-06/12/2019. 27th International Conference on Computers in Education. I. 57-62.
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Keywordsintelligent tutoring system; problem solving; worked examples; eye tracking; affective modeling
ANZSRC Fields of Research39 - Education::3904 - Specialist studies in education::390405 - Educational technology and computing
13 - Education::1302 - Curriculum and Pedagogy::130212 - Science, Technology and Engineering Curriculum and Pedagogy
08 - Information and Computing Sciences::0806 - Information Systems::080602 - Computer-Human Interaction
08 - Information and Computing Sciences::0803 - Computer Software::080399 - Computer Software not elsewhere classified
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