Computer & Education
Online ISSN : 2188-6962
Print ISSN : 2186-2168
ISSN-L : 2186-2168
Special Reports on "Frontiers in Computer-Aided Learning Assessment and Testing"
Visualization of Penstroke Data and Estimation of Levels of Confidence for Online Math Tests
Kazusa FujimotoYasuyuki Nakamura
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2023 Volume 54 Pages 34-41

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Abstract

 Tablet PCs used as learning aids are expected to be useful in understanding learners' weaknesses and improving instructional strategies by analyzing learning log data. In this study, 39 students in a science class studying Mathematics III at a public high school in Tokushima Prefecture were given an online test with six calculus questions. The participants were asked to write the calculation steps of the questions on a tablet using a digital pen and answer them. The visualization revealed the stumbling points, based on the areas and the extent to which the participants had stalled. After answering each question, participants were asked to fill out a questionnaire regarding their confidence in their own answers, which was taken as the “correct answer.” Their confidence in answering each question was estimated based on the correct and incorrect test results, penstroke and other data. Most of the responses were classified correctly into two categories of confidence: “confident” and “not confident.” However, “partially confident” could not be classified correctly.

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© 2023 CIEC
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