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Appears in:
Pages: 667-677
Publication year: 2013
ISBN: 978-84-616-2661-8
ISSN: 2340-1079

Conference name: 7th International Technology, Education and Development Conference
Dates: 4-5 March, 2013
Location: Valencia, Spain

A BAYESIAN STUDENT MODEL FOR CS1 PROGRAMMING FUNDAMENTALS

A. Aranda1, C. Lacave1, F. Jurado2, A.I. Molina1

1University of Castilla-La Mancha (SPAIN)
2University of Lleida (SPAIN)
Nowadays, Computer-Based Instruction environments and eLearning Systems are gaining in importance. Among these systems we will pay special attention to Intelligent Tutoring Systems (ITSs). An ITS merges eLearning tools with Artificial Intelligence (AI) techniques in order to obtain the most suitable pedagogical strategy for each individual student. To accomplish this, the ITS makes use of a component called Student Model, which allows the system to estimate a student's cognitive state and, as a result, to react according to a Pedagogical Model. The key element within this framework is the Diagnosis Process, which allows the student's cognitive state to be inferred from observable data. As a consequence, both the Student Model’s quality and the ITS's adaptation capability depend on the quality of the Diagnosis Process. Currently, there are many proposals based on different theoretical frameworks to model the Diagnosis Process. Among the existing techniques, we propose the use of Bayesian Networks (BN) for their ability to represent and manage the inherent uncertainty of the real world. In this paper, we present our proposal of a Bayesian Student Model, analyse the influence of each element in the BN during the Diagnosis Process, and characterise the behaviour and sensitivity of the model under different settings. Finally, we show the proposal’s application in the “Programming Fundamentals” subject, which is part of the CS1 course at the Computer Science and Engineering Faculty of the University of Castilla-La Mancha.
@InProceedings{ARANDA2013ABA,
author = {Aranda, A. and Lacave, C. and Jurado, F. and Molina, A.I.},
title = {A BAYESIAN STUDENT MODEL FOR CS1 PROGRAMMING FUNDAMENTALS},
series = {7th International Technology, Education and Development Conference},
booktitle = {INTED2013 Proceedings},
isbn = {978-84-616-2661-8},
issn = {2340-1079},
publisher = {IATED},
location = {Valencia, Spain},
month = {4-5 March, 2013},
year = {2013},
pages = {667-677}}
TY - CONF
AU - A. Aranda AU - C. Lacave AU - F. Jurado AU - A.I. Molina
TI - A BAYESIAN STUDENT MODEL FOR CS1 PROGRAMMING FUNDAMENTALS
SN - 978-84-616-2661-8/2340-1079
PY - 2013
Y1 - 4-5 March, 2013
CI - Valencia, Spain
JO - 7th International Technology, Education and Development Conference
JA - INTED2013 Proceedings
SP - 667
EP - 677
ER -
A. Aranda, C. Lacave, F. Jurado, A.I. Molina (2013) A BAYESIAN STUDENT MODEL FOR CS1 PROGRAMMING FUNDAMENTALS, INTED2013 Proceedings, pp. 667-677.
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