Proposal of an Adaptive Programming Learning Support System Utilizing Structuralized Tasks

Authors

  • Kento KOIKE Graduate School of Engineering, Tokyo Polytechnic University, Japan Author
  • Takahito TOMOTO Faculty of Engineering, Tokyo Polytechnic University, Japan Author
  • Tomoya HORIGUCHI Graduate School of Maritime Sciences, Kobe University, Japan Author
  • Tsukasa HIRASHIMA Graduate School of Engineering, Hiroshima University, Japan Author

Abstract

The authors have examined properties of programming tasks and have studied a framework for structuring tasks based on their properties. In this paper, we examine what is learned from general–special and whole–partial relations among tasks. We also consider a method for presenting tasks in a method that is adaptive to learners’ comprehending situation using this framework. Under this framework, we propose a system that presents adaptive tasks based on the method of utilizing the task sequence.

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Published

2018-11-26

How to Cite

Proposal of an Adaptive Programming Learning Support System Utilizing Structuralized Tasks. (2018). International Conference on Computers in Education. https://library.apsce.net/index.php/ICCE/article/view/3786