Toward personalized learning in JPLAS: Generating and scoring functions for debugging questions

Nobuo Funabiki, Takato Mohri, Shingo Yamaguchi

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

2 Citations (Scopus)

Abstract

Today, some Java program learning support systems have been proposed. Each student has his/her own learning level. It is important to give questions suitable for his/her learning level for each student. But it will cause an enormous burden to the teacher. In this paper, we implement the automatic generating function and the scoring function regarding debugging questions in Java programming learning assistant system called JPLAS. We proposed personalized learning with two functions such as automatic generating and scoring of debugging question used in JPLAS. We showed the effectiveness of proposed method with chi-squared test.

Original languageEnglish
Title of host publication2016 IEEE 5th Global Conference on Consumer Electronics, GCCE 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509023332
DOIs
Publication statusPublished - Dec 27 2016
Event5th IEEE Global Conference on Consumer Electronics, GCCE 2016 - Kyoto, Japan
Duration: Oct 11 2016Oct 14 2016

Other

Other5th IEEE Global Conference on Consumer Electronics, GCCE 2016
CountryJapan
CityKyoto
Period10/11/1610/14/16

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering
  • Computer Science Applications
  • Hardware and Architecture
  • Instrumentation

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    Funabiki, N., Mohri, T., & Yamaguchi, S. (2016). Toward personalized learning in JPLAS: Generating and scoring functions for debugging questions. In 2016 IEEE 5th Global Conference on Consumer Electronics, GCCE 2016 [7800392] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GCCE.2016.7800392