A learning diagnosis architecture with a Bayesian network approach

Ho Chuan Huang, Tsui-Ying Wang

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

3 Citations (Scopus)

Abstract

In this paper, we present a knowledge learning diagnosis approach to supporting a computer-supported collaborative learning environment. Bayesian network technique is used here to diagnose the misconception about learning knowledge and to reason potential misconception for individual learners. After learners have made a test, the system using probabilistic reasoning will automatically create learning communities based on the learners' characteristics and test results. This work is motivated by diagnosing learning performance of learners for both instructors and learners to understand concept comprehension of learners in a computer-supported collaborative learning (CSCL) environment.

Original languageEnglish
Title of host publicationProceedings - 5th IEEE International Conference on Advanced Learning Technologies, ICALT 2005
Pages33-34
Number of pages2
DOIs
Publication statusPublished - 2005 Dec 1
Event5th IEEE International Conference on Advanced Learning Technologies, ICALT 2005 - Kaohsiung, Taiwan
Duration: 2005 Jul 52005 Jul 8

Publication series

NameProceedings - 5th IEEE International Conference on Advanced Learning Technologies, ICALT 2005
Volume2005

Other

Other5th IEEE International Conference on Advanced Learning Technologies, ICALT 2005
CountryTaiwan
CityKaohsiung
Period05-07-0505-07-08

Fingerprint

Bayesian networks

All Science Journal Classification (ASJC) codes

  • Engineering(all)

Cite this

Huang, H. C., & Wang, T-Y. (2005). A learning diagnosis architecture with a Bayesian network approach. In Proceedings - 5th IEEE International Conference on Advanced Learning Technologies, ICALT 2005 (pp. 33-34). [1508599] (Proceedings - 5th IEEE International Conference on Advanced Learning Technologies, ICALT 2005; Vol. 2005). https://doi.org/10.1109/ICALT.2005.10
Huang, Ho Chuan ; Wang, Tsui-Ying. / A learning diagnosis architecture with a Bayesian network approach. Proceedings - 5th IEEE International Conference on Advanced Learning Technologies, ICALT 2005. 2005. pp. 33-34 (Proceedings - 5th IEEE International Conference on Advanced Learning Technologies, ICALT 2005).
@inproceedings{8062e0e2bf2e4b41aafe8fcfcc4288ba,
title = "A learning diagnosis architecture with a Bayesian network approach",
abstract = "In this paper, we present a knowledge learning diagnosis approach to supporting a computer-supported collaborative learning environment. Bayesian network technique is used here to diagnose the misconception about learning knowledge and to reason potential misconception for individual learners. After learners have made a test, the system using probabilistic reasoning will automatically create learning communities based on the learners' characteristics and test results. This work is motivated by diagnosing learning performance of learners for both instructors and learners to understand concept comprehension of learners in a computer-supported collaborative learning (CSCL) environment.",
author = "Huang, {Ho Chuan} and Tsui-Ying Wang",
year = "2005",
month = "12",
day = "1",
doi = "10.1109/ICALT.2005.10",
language = "English",
isbn = "0769523382",
series = "Proceedings - 5th IEEE International Conference on Advanced Learning Technologies, ICALT 2005",
pages = "33--34",
booktitle = "Proceedings - 5th IEEE International Conference on Advanced Learning Technologies, ICALT 2005",

}

Huang, HC & Wang, T-Y 2005, A learning diagnosis architecture with a Bayesian network approach. in Proceedings - 5th IEEE International Conference on Advanced Learning Technologies, ICALT 2005., 1508599, Proceedings - 5th IEEE International Conference on Advanced Learning Technologies, ICALT 2005, vol. 2005, pp. 33-34, 5th IEEE International Conference on Advanced Learning Technologies, ICALT 2005, Kaohsiung, Taiwan, 05-07-05. https://doi.org/10.1109/ICALT.2005.10

A learning diagnosis architecture with a Bayesian network approach. / Huang, Ho Chuan; Wang, Tsui-Ying.

Proceedings - 5th IEEE International Conference on Advanced Learning Technologies, ICALT 2005. 2005. p. 33-34 1508599 (Proceedings - 5th IEEE International Conference on Advanced Learning Technologies, ICALT 2005; Vol. 2005).

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

TY - GEN

T1 - A learning diagnosis architecture with a Bayesian network approach

AU - Huang, Ho Chuan

AU - Wang, Tsui-Ying

PY - 2005/12/1

Y1 - 2005/12/1

N2 - In this paper, we present a knowledge learning diagnosis approach to supporting a computer-supported collaborative learning environment. Bayesian network technique is used here to diagnose the misconception about learning knowledge and to reason potential misconception for individual learners. After learners have made a test, the system using probabilistic reasoning will automatically create learning communities based on the learners' characteristics and test results. This work is motivated by diagnosing learning performance of learners for both instructors and learners to understand concept comprehension of learners in a computer-supported collaborative learning (CSCL) environment.

AB - In this paper, we present a knowledge learning diagnosis approach to supporting a computer-supported collaborative learning environment. Bayesian network technique is used here to diagnose the misconception about learning knowledge and to reason potential misconception for individual learners. After learners have made a test, the system using probabilistic reasoning will automatically create learning communities based on the learners' characteristics and test results. This work is motivated by diagnosing learning performance of learners for both instructors and learners to understand concept comprehension of learners in a computer-supported collaborative learning (CSCL) environment.

UR - http://www.scopus.com/inward/record.url?scp=33749076893&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=33749076893&partnerID=8YFLogxK

U2 - 10.1109/ICALT.2005.10

DO - 10.1109/ICALT.2005.10

M3 - Conference contribution

AN - SCOPUS:33749076893

SN - 0769523382

SN - 9780769523385

T3 - Proceedings - 5th IEEE International Conference on Advanced Learning Technologies, ICALT 2005

SP - 33

EP - 34

BT - Proceedings - 5th IEEE International Conference on Advanced Learning Technologies, ICALT 2005

ER -

Huang HC, Wang T-Y. A learning diagnosis architecture with a Bayesian network approach. In Proceedings - 5th IEEE International Conference on Advanced Learning Technologies, ICALT 2005. 2005. p. 33-34. 1508599. (Proceedings - 5th IEEE International Conference on Advanced Learning Technologies, ICALT 2005). https://doi.org/10.1109/ICALT.2005.10