Document Type
Article
Publication Date
2006
Keywords
web-based education, evaluation of programming tutors, intelligent tutoring systems, e-learning systems, AI in education
Abstract
In an effort to support the growing trend of the Java programming language and to promote web-based personalized education, the Java Intelligent Tutoring System (JITS) was designed and developed. This tutoring system is unique in a number of ways. Most Intelligent Tutoring Systems require the teacher to author problems with corresponding solutions. JITS, on the other hand, requires the teacher to only supply the problem and problem specification. JITS is designed to “intelligently” examine the student’s submitted code and determines appropriate feedback based on a number of factors such as JITS’ cognitive model of the student, the student’s skill level, and problem details. JITS is intended to be used by beginner programming students in their first year of College or University. This paper discusses the important aspects of the design and development of JITS, the qualitative methods and procedures, and findings. Research was conducted at the Sheridan Institute of Technology and Advanced Learning, Ontario, Canada.
Faculty
Faculty of Applied Science & Technology
School
School of Applied Computing
Journal
Journal of Systemics, Cybernetics, and Informatics
Version
Publisher's version
Peer Reviewed/Refereed Publication
yes
Terms of Use
Terms of Use for Works posted in SOURCE.
Copyright
Copyright © 2003 - 2013 International Institute of Informatics and Cybernetics, IIIC
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
Original Publication Citation
Sykes, E. R. (2006). Qualitative evaluation of the Java Intelligent Tutoring System. Journal of Systemics, Cybernetics, and Informatics, 3(5), 49-60.
SOURCE Citation
Sykes, Edward R., "Qualitative Evaluation of the Java Intelligent Tutoring System" (2006). Faculty Publications and Scholarship. 6.
https://source.sheridancollege.ca/fast_appl_publ/6
Comments
Reprinted with permission of the publisher