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http://dx.doi.org/10.5391/JKIIS.2015.25.5.457

Collective Intelligence based Wrong Answer Note System  

Ha, Jin Seog (Dept. of Computer Education, Graduate School of Kongju National University)
Kim, Chang Suk (Dept. of Computer Education, Graduate School of Kongju National University)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.25, no.5, 2015 , pp. 457-463 More about this Journal
Abstract
This paper presents the need for the concept of collective intelligence based system for the timely learning and incorrect notes show the utilization and satisfaction. The old wrong answer note system is characterized by the provision of uniform right answer explanations for the questions whose answers were wrong by checking whether the evaluation items were answered right or wrong. The characteristic requires a lot of improvements in terms of wrong answer analysis and feedback since it cannot properly receive feedback on the items that a learner got right by luck in spite of poor understanding of them and on the errors in the selection process of wrong answers by individual learners. The SERO wrong answer note was designed to propose new ways to identify and capture such "score errors" and compensate for the practical weaknesses of learners. The Stability Emergency Risk Opportunity (SERO) wrong answer note is based on a method of categorizing and analyzing evaluation items answered by the examinee into four types (S, E, R and O type), and commentary correct as well as incorrect answers by presenting a variety of commentary notes using the collective intelligence of the study show that satisfaction is high.
Keywords
Just-In-Time Learning; SERO; Wrong Answer Note; Collective Intelligence; Assessment question;
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  • Reference
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