Development of Debugging Exercise Extraction System using Learning History

Katsuyuki Umezawa, Makoto Nakazawa, Masayuki Goto, Shigeichi Hirasawa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We have proposed an editing history visualization system which can confirm where and how the learner modified program. We utilized this system for actual flipped classroom and stored a large amount of learning logs. This learning log contains all the source code in the process of being modified until the program is completed. We developed a debugging exercise extraction system to automatically generate problems for debugging practice from this learning log. The debugging exercise extraction tool we developed extracted 18,680 source codes (which became practice problems) that included syntactic errors that could be used as a debugging exercise from 16 weeks of program edit history data (total number is 31,562 files). The execution time was 488 seconds. Since it can be analyzed only once every six months, we believe it is a sufficiently practical execution time.

Original languageEnglish
Title of host publicationProceedings - IEEE 10th International Conference on Technology for Education, T4E 2019
EditorsMaiga Chang, Ramkumar Rajendran, Kinshuk Kinshuk, Sahana Murthy, Venkatesh Kamat
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages244-245
Number of pages2
ISBN (Electronic)9781728142272
DOIs
Publication statusPublished - 2019 Dec
Event10th IEEE International Conference on Technology for Education, T4E 2019 - Goa, India
Duration: 2019 Dec 92019 Dec 11

Publication series

NameProceedings - IEEE 10th International Conference on Technology for Education, T4E 2019

Conference

Conference10th IEEE International Conference on Technology for Education, T4E 2019
CountryIndia
CityGoa
Period19/12/919/12/11

Keywords

  • Artificial Teacher
  • e-Learning
  • Language Leaning
  • Learning History
  • Self Study

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Engineering (miscellaneous)
  • Education

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  • Cite this

    Umezawa, K., Nakazawa, M., Goto, M., & Hirasawa, S. (2019). Development of Debugging Exercise Extraction System using Learning History. In M. Chang, R. Rajendran, K. Kinshuk, S. Murthy, & V. Kamat (Eds.), Proceedings - IEEE 10th International Conference on Technology for Education, T4E 2019 (pp. 244-245). [8983736] (Proceedings - IEEE 10th International Conference on Technology for Education, T4E 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/T4E.2019.00056