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Intelligent Tutors for All: The Constraint-Based Approach
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MIS.2007.74July/August 2007 (vol. 22 no. 4) pp. 38-45
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Antonija Mitrovic, Brent Martin, Pramuditha Suraweera, "Intelligent Tutors for All: The Constraint-Based Approach," IEEE Intelligent Systems, vol. 22, no. 4, pp. 38-45, July/August, 2007.
 
 
BibTex
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@article{ 10.1109/MIS.2007.74,
author = {Antonija Mitrovic and Brent Martin and Pramuditha Suraweera},
title = {Intelligent Tutors for All: The Constraint-Based Approach},
journal ={IEEE Intelligent Systems},
volume = {22},
number = {4},
issn = {1541-1672},
year = {2007},
pages = {38-45},
doi = {http://doi.ieeecomputersociety.org/10.1109/MIS.2007.74},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - MGZN
JO - IEEE Intelligent Systems
TI - Intelligent Tutors for All: The Constraint-Based Approach
IS - 4
SN - 1541-1672
SP38
EP45
EPD - 38-45
A1 - Antonija Mitrovic,
A1 - Brent Martin,
A1 - Pramuditha Suraweera,
PY - 2007
KW - artificial intelligence
KW - education
KW - knowledge representation formalisms and methods
KW - knowledge modeling
KW - computer-assisted instruction
KW - intelligent tutoring systems
VL - 22
JA - IEEE Intelligent Systems
ER -
 
Antonija Mitrovic, University of Canterbury
Brent Martin, University of Canterbury
Pramuditha Suraweera, University of Canterbury
Intelligent tutoring systems have revolutionized online education by providing individualized instruction for each student. Constraint-based tutors model instructional domains at an abstract level, a novel approach that simplifies development of these systems. Over the last decade, the University of Canterbury's Intelligent Computer Tutoring Group has developed effective constraint-based tutors for various instructional domains; some of these tutors have been successfully commercialized. Constraint-based tutoring is a mature, successful approach to providing adaptive learning environments. ICTG-developed authoring tools aim to make this technology widely available to teachers and students. This article is part of a special issue on intelligent educational systems.
Index Terms:
artificial intelligence, education, knowledge representation formalisms and methods, knowledge modeling, computer-assisted instruction, intelligent tutoring systems
Citation:
Antonija Mitrovic, Brent Martin, Pramuditha Suraweera, "Intelligent Tutors for All: The Constraint-Based Approach," IEEE Intelligent Systems, vol. 22, no. 4, pp. 38-45, July/Aug. 2007, doi:10.1109/MIS.2007.74
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