Abstract
The purpose of this study is to implement an Internet assessment on probability reasoning which provides graphs of rule usage and similarity coefficient in comparison with expert. Ordering theory (OT) combined with interpretive structural modeling (ISM) is the method to construct structural graphs of rule usage on probability reasoning. Set operation is adopted to calculate the similarity coefficient for graphs of rule usage. An empirical study for pupils shows that rule usage varies with the total score and there is significant difference on similarity coefficient based on age, gender and interaction. Finally, some recommendations and suggestions for future research are discussed.
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Lin, YH. (2009). Probability Reasoning Internet Assessment System with Rule Usage Structures and Similarity Comparisons. In: Chien, BC., Hong, TP. (eds) Opportunities and Challenges for Next-Generation Applied Intelligence. Studies in Computational Intelligence, vol 214. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-92814-0_31
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DOI: https://doi.org/10.1007/978-3-540-92814-0_31
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