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http://dx.doi.org/10.14352/jkaie.2019.23.1.65

Analysis of Bebra Challenge Results through Algorithm Education  

Park, SunJu (Dept. of Computer Science Education, Gwangju National University of Education)
Publication Information
Journal of The Korean Association of Information Education / v.23, no.1, 2019 , pp. 65-72 More about this Journal
Abstract
As the importance of SW education grows, researches are actively being conducted to improve students' thinking skills. We conducted the group III tasks, which are experiencing and challenging in Beaver Challenge 2018, on 55 students of 5th grade in elementary school. Based on the result, we analyzed their average scores and defined whether each test has a correlation with possession of smartphone, computer familiarity, patience, concentration, and academic ability. The result indicated challenging task boosted the average score, the percentage of correct answers, and the percentage of correct answers for each level of difficulty. Moreover, the challenge task scores were higher as they higher computer familiarity, patience and concentration level. However, possession of smartphones and academic ability did not affect the score. Lastly, the scores were affected by different factors in different level of difficulty that patience factor in advanced level, computer familiarity factor in intermediate level, and concentration factor in beginner level. Thus, further researches are necessary to be conducted to expand the scope of the analysis through the diversification of test subject group and expansion of an evaluation area.
Keywords
Bebras Challenge; Computational Thingking; Algorithm; SW education; Assessment Tool;
Citations & Related Records
Times Cited By KSCI : 6  (Citation Analysis)
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