Recommended Citation
Published in Proceedings of the Fourth IEEE International Conference on Advanced Learning Technologies (ICALT '04), September 1, 2004, pages 828-830. DOI: http://doi.ieeecomputersociety.org/10.1109/ICALT.2004.1357674.
© 2004 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Abstract
Developing successful Web-based learning environments has shown to be a challenging and difficult endeavor [7][11] that requires knowledge from multiple domains like pedagogy, psychology, knowledge engineering, software engineering, and Web technologies. Their lack of individual preferred ways of instruction is a challenge we address in this paper.
We introduce a Web-based learning environment that teaches concepts from Artificial Intelligence to college students. This environment is intended to be used as a complementary tool for the standard lectures. By adapting the instruction and learning material to the individual student’s learning style the tutorial gives the student a personal learning experience and it was our expectation that the tutorial would increase the user’s knowledge and interest about the topic. Results and feedback were gathered from the students.
Disciplines
Computer Sciences
DownloadURL: http://digitalcommons.calpoly.edu/csse_fac/1