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

Fingerprint

checkout
scoring
learning
Students
students
support systems
instructors
programming
causes

ASJC Scopus subject areas

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

Cite this

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

Toward personalized learning in JPLAS : Generating and scoring functions for debugging questions. / Funabiki, Nobuo; Mohri, Takato; Yamaguchi, Shingo.

2016 IEEE 5th Global Conference on Consumer Electronics, GCCE 2016. Institute of Electrical and Electronics Engineers Inc., 2016. 7800392.

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

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., 5th IEEE Global Conference on Consumer Electronics, GCCE 2016, Kyoto, Japan, 10/11/16. https://doi.org/10.1109/GCCE.2016.7800392
Funabiki N, Mohri T, Yamaguchi S. Toward personalized learning in JPLAS: Generating and scoring functions for debugging questions. In 2016 IEEE 5th Global Conference on Consumer Electronics, GCCE 2016. Institute of Electrical and Electronics Engineers Inc. 2016. 7800392 https://doi.org/10.1109/GCCE.2016.7800392
Funabiki, Nobuo ; Mohri, Takato ; Yamaguchi, Shingo. / Toward personalized learning in JPLAS : Generating and scoring functions for debugging questions. 2016 IEEE 5th Global Conference on Consumer Electronics, GCCE 2016. Institute of Electrical and Electronics Engineers Inc., 2016.
@inproceedings{5c8b413513ff47adaa248cc421ab3cbb,
title = "Toward personalized learning in JPLAS: Generating and scoring functions for debugging questions",
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.",
author = "Nobuo Funabiki and Takato Mohri and Shingo Yamaguchi",
year = "2016",
month = "12",
day = "27",
doi = "10.1109/GCCE.2016.7800392",
language = "English",
booktitle = "2016 IEEE 5th Global Conference on Consumer Electronics, GCCE 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - GEN

T1 - Toward personalized learning in JPLAS

T2 - Generating and scoring functions for debugging questions

AU - Funabiki, Nobuo

AU - Mohri, Takato

AU - Yamaguchi, Shingo

PY - 2016/12/27

Y1 - 2016/12/27

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85010304104&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85010304104&partnerID=8YFLogxK

U2 - 10.1109/GCCE.2016.7800392

DO - 10.1109/GCCE.2016.7800392

M3 - Conference contribution

AN - SCOPUS:85010304104

BT - 2016 IEEE 5th Global Conference on Consumer Electronics, GCCE 2016

PB - Institute of Electrical and Electronics Engineers Inc.

ER -