Stroke order computer-based assessment with fuzzy measure scoring

  • Authors:

  • Guey-Shya Chen;Yu-Du Jheng;Hsu-Chan Yao;Hsiang-Chuan Liu

  • Affiliations:

  • Graduate Institute of Educational Measurement, Department of Bioinformatics, Taichung University, Asia University, Taichung, Taiwan;Graduate Institute of Educational Measurement, Department of Bioinformatics, Taichung University, Asia University, Taichung, Taiwan;Graduate Institute of Educational Measurement, Department of Bioinformatics, Taichung University, Asia University, Taichung, Taiwan;Graduate Institute of Educational Measurement, Department of Bioinformatics, Taichung University, Asia University, Taichung, Taiwan

  • Venue:
  • WSEAS Transactions on Information Science and Applications
  • Year:
  • 2008

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Abstract

The purpose of this research is to develop a computer-based assessment for stroke order and a novel algorithm based on Choquet integral with fuzzy measure for scoring stroke order of Chinese Character writing. The learning of stroke order is very important for a fixed stroke writing character system therefore this research based on the theory of "five indexing system of Chinese characters" and combine the features of strokes develops a stroke order assessment system to real-time evaluate learners' stroke order and score their character writings. Except using traditional additive scoring method, a non-additive scoring algorithm based on Choquet integral with λ-measure and L-measure was proposed. A real data set with 121 samples was examined and experiment results show that the performances of this novel scoring model based on Choquet integral with both λ-measure and L-measure outperform the performance of traditional scoring approach.