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Scanpath Analysis of Student Attention During Problem Solving with Worked Examples

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2020) 12164 LNAI 306-311
DOI: 10.1007/978-3-030-52240-7_56
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Abstract

We report on the analysis of scanpath data captured by an eye tracker as students solved problems with access to worked examples. Our work makes two contributions: (1) it reports on scanpath analysis using the MultiMatch tool, (2) it investigates how type of problem-example similarity and assistance influenced attention patterns captured by scanpaths. We show that both problem-example similarity and type of assistance impact scanpaths.

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Stranc, S., & Muldner, K. (2020). Scanpath Analysis of Student Attention During Problem Solving with Worked Examples. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 12164 LNAI, pp. 306–311). Springer. https://doi.org/10.1007/978-3-030-52240-7_56

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