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A holistic approach to assessing students' laboratory performance using Bayesian networks

Research output: Contribution to conferencePaperpeer-review

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A holistic approach to assessing students' laboratory performance using Bayesian networks. / Chika, I.; Azzi, Djamel; Hewitt, Alan; Stocker, J.

2009. 26-32 Paper presented at Computational Intelligence in Virtual Environments, 2009. CIVE '09. IEEE Workshop on, Nashville, Tunisia.

Research output: Contribution to conferencePaperpeer-review

Harvard

Chika, I, Azzi, D, Hewitt, A & Stocker, J 2009, 'A holistic approach to assessing students' laboratory performance using Bayesian networks', Paper presented at Computational Intelligence in Virtual Environments, 2009. CIVE '09. IEEE Workshop on, Nashville, Tunisia, 30/03/09 - 2/04/09 pp. 26-32.

APA

Chika, I., Azzi, D., Hewitt, A., & Stocker, J. (2009). A holistic approach to assessing students' laboratory performance using Bayesian networks. 26-32. Paper presented at Computational Intelligence in Virtual Environments, 2009. CIVE '09. IEEE Workshop on, Nashville, Tunisia.

Vancouver

Chika I, Azzi D, Hewitt A, Stocker J. A holistic approach to assessing students' laboratory performance using Bayesian networks. 2009. Paper presented at Computational Intelligence in Virtual Environments, 2009. CIVE '09. IEEE Workshop on, Nashville, Tunisia.

Author

Chika, I. ; Azzi, Djamel ; Hewitt, Alan ; Stocker, J. / A holistic approach to assessing students' laboratory performance using Bayesian networks. Paper presented at Computational Intelligence in Virtual Environments, 2009. CIVE '09. IEEE Workshop on, Nashville, Tunisia.7 p.

Bibtex

@conference{3ba7236f211b4cc5858aeebd94da670b,
title = "A holistic approach to assessing students' laboratory performance using Bayesian networks",
abstract = "Laboratory activities have a central role in engineering teaching and learning. They are used to involve students in practical experimentations with concepts. This central role makes the ongoing challenge of performance assessment of students' laboratory work one of utmost importance. Laboratory work is traditionally assessed by the teacher marking students' written report of the laboratory activity. Assessment based on written evidence often overlooks the fact that laboratory work involves specific abilities/skills. The latter are highlighted by both QAA and ABET as part of engineering teaching and learning outcomes. There is a need to develop a model for laboratory performance assessment, which not only assesses what a student knows and understands about the concept addressed by a laboratory activity, but also the student's laboratory abilities/skills through analysis of the laboratory work process. This paper presents the work so far on the implementation of such a model. The model harnesses the strengths of Bayesian networks and integrates with a virtual electronic laboratory, the RealLab, which was designed and implemented in the course of this work.",
author = "I. Chika and Djamel Azzi and Alan Hewitt and J. Stocker",
year = "2009",
month = mar,
day = "30",
language = "English",
pages = "26--32",
note = "Computational Intelligence in Virtual Environments, 2009. CIVE '09. IEEE Workshop on ; Conference date: 30-03-2009 Through 02-04-2009",

}

RIS

TY - CONF

T1 - A holistic approach to assessing students' laboratory performance using Bayesian networks

AU - Chika, I.

AU - Azzi, Djamel

AU - Hewitt, Alan

AU - Stocker, J.

PY - 2009/3/30

Y1 - 2009/3/30

N2 - Laboratory activities have a central role in engineering teaching and learning. They are used to involve students in practical experimentations with concepts. This central role makes the ongoing challenge of performance assessment of students' laboratory work one of utmost importance. Laboratory work is traditionally assessed by the teacher marking students' written report of the laboratory activity. Assessment based on written evidence often overlooks the fact that laboratory work involves specific abilities/skills. The latter are highlighted by both QAA and ABET as part of engineering teaching and learning outcomes. There is a need to develop a model for laboratory performance assessment, which not only assesses what a student knows and understands about the concept addressed by a laboratory activity, but also the student's laboratory abilities/skills through analysis of the laboratory work process. This paper presents the work so far on the implementation of such a model. The model harnesses the strengths of Bayesian networks and integrates with a virtual electronic laboratory, the RealLab, which was designed and implemented in the course of this work.

AB - Laboratory activities have a central role in engineering teaching and learning. They are used to involve students in practical experimentations with concepts. This central role makes the ongoing challenge of performance assessment of students' laboratory work one of utmost importance. Laboratory work is traditionally assessed by the teacher marking students' written report of the laboratory activity. Assessment based on written evidence often overlooks the fact that laboratory work involves specific abilities/skills. The latter are highlighted by both QAA and ABET as part of engineering teaching and learning outcomes. There is a need to develop a model for laboratory performance assessment, which not only assesses what a student knows and understands about the concept addressed by a laboratory activity, but also the student's laboratory abilities/skills through analysis of the laboratory work process. This paper presents the work so far on the implementation of such a model. The model harnesses the strengths of Bayesian networks and integrates with a virtual electronic laboratory, the RealLab, which was designed and implemented in the course of this work.

M3 - Paper

SP - 26

EP - 32

T2 - Computational Intelligence in Virtual Environments, 2009. CIVE '09. IEEE Workshop on

Y2 - 30 March 2009 through 2 April 2009

ER -

ID: 76175