Students' Trust-Aware Learning Material Recommendation System
Chih-Wei Chang, Chen-Chung Liu, Jorng-Tzong Horng, Gwo-Dong Chen, Computer Science and Information Engineering, National Central University, Taiwan, Taiwan
EdMedia + Innovate Learning, in Montreal, Canada ISBN 978-1-880094-56-3 Publisher: Association for the Advancement of Computing in Education (AACE), Waynesville, NC
Trust is one of the important factors in communication. In the learning environment, if the relationship between teachers and students lacks trust to each other, the learning performance will turn to low. And the learning recommended system which has progressively mature technique and is paid more and more attention need to consider students' trust, too. If we can estimate how much student trust in our recommendation system (R.S.) and use this information to adjust the learning suggestions we gave to student, the system can make more suitable recommendations with higher trust by students. We implement a learning recommendation system on web site, and let the system has the capability of detecting the degree of how students trust our system and trying to build the trust. After that we make an experiment to verify the accuracy of trust-evaluator. At last, we have some results and discussion.
Chang, C.W., Liu, C.C., Horng, J.T. & Chen, G.D. (2005). Students' Trust-Aware Learning Material Recommendation System. In P. Kommers & G. Richards (Eds.), Proceedings of ED-MEDIA 2005--World Conference on Educational Multimedia, Hypermedia & Telecommunications (pp. 4580-4585). Montreal, Canada: Association for the Advancement of Computing in Education (AACE).
© 2005 Association for the Advancement of Computing in Education (AACE)