Study for Realization Learning Evaluation Using Scanned Worksheets in Higher Education

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  • AMIOKA Takayuki
    Graduate School of Human Sciences, Waseda University
  • MORI Yuki
    Faculty of Human Sciences, Waseda University
  • EGI Hironori
    Graduate School of Informatics and Engineering, The University of Electro-Communications
  • OZAWA Shigeto
    Faculty of Human Sciences, Waseda University

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Other Title
  • 定量化した手書きワークシートを用いた学習評価の可能性の検討
  • テイリョウカ シタ テガキキ ワークシート オ モチイタ ガクシュウ ヒョウカ ノ カノウセイ ノ ケントウ

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Abstract

<p>The goal of this research is the development of an efficient method for evaluating the worksheets students submit for each class. To begin with, we scanned the hand-written worksheets students submit at the end of every class, turning them into quantifiable data. Next, we focused on the file size of the quantified worksheets and carried out an analysis using the following steps. First, observing the different file sizes, we separated the students into multiple groups. Second, observing changes to the file size, we conducted a cluster analysis. Third, based on the results of the above analysis, we examined their relation to learning outcomes. Here, learning outcomes constitute: (1) self-evaluation of skills and abilities acquired in the class, (2) self-evaluation of whether or not the class was helpful, (3) grades received for end-of-semester reports. As a result of conducting a quantifiable analysis of the above, we ascertained that the group comprising students with large file sizes tended towards higher learning outcomes compared to other groups. Conversely, we were unable to discover a significant gap between the small and average-sized file groups. Thus, it is possible to evaluate learning outcomes even when using a simple indicator such as file size. We anticipate the findings of this research have the potential for further applicability.</p>

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