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The Analysis of Informatics Gifted Elementary Students’ Computational Problem Solving Approaches in Puzzle-Based Learning

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2014, 19(1), pp.191-201
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

Eunkyoung Lee 1 Jeongwon Choi 2 Youngjun Lee 2

1한국교육과정평가원
2한국교원대학교

Accredited

ABSTRACT

The purpose of this study is to propose strategies of puzzle-based learning for Informatics giftededucation through analyzing Informatics gifted elementary students’ computational problem solvingapproaches in puzzle-based learning contexts. Six types of educational puzzles, which areconstraints, optimization, probability, statistically speaking, pattern recognition, and strategy, were used in teaching 14 Informatics gifted students for 8 sessions. The results of pre and posttest and each students’ answers were analyzed to identify why students were not able to solve thepuzzles. We also analysed what essential computational strategies are needed to solve each type ofpuzzles, and what students did not know in solving puzzle problems. We identified some problemscaused by puzzle representation methods, and various students’ intuitions that disturb puzzlesolving. Also, we identified essential computational strategies to solve puzzles: backtracking,dynamic programming, abstraction, modeling, and reduction of big problem. However, students haddifficulties in applying these strategies to solve their puzzle problems. We proposed the revisedpuzzle-based learning strategies, which is based on the improved problem representation,just-in-time cognitive feedbacks, and web-based learning system.

Citation status

* References for papers published after 2023 are currently being built.

This paper was written with support from the National Research Foundation of Korea.