Student modeling for performance assessment using Bayesian network on web portfolios
Chen-Chung Liu, Yuan Ze Univ., Taiwan ; Gwo-Dong Chen, Chin-Yeh Wang, National Central Univ., Taiwan ; Ching-Fen Pai, Fortune Inst. of Technology, Taiwan
EdMedia + Innovate Learning, in Norfolk, VA USA ISBN 978-1-880094-42-6 Publisher: Association for the Advancement of Computing in Education (AACE), Waynesville, NC
Web based curriculum development allows students to develop their learning portfolio and interact with peers on a web learning system. This system contains web portfolios that record in detail students' learning activities, peer interaction, and knowledge progress. However, teachers can not easily diagnose students' learning processes and regulate effective strategies according to student activity performance without the model of activity performance on web learning systems. This investigation proposes a novel methodology that employs Bayesian network software to assist teachers in efficiently deriving and utilizing the student model of activity performance from web portfolios in an online manner. Teachers can assess and diagnose performances with the model of learning activity on web learning systems. The model of activity performance also allows teachers to manage various activity performances in web learning systems so that desired strategies can be achieved to promote learning effectiveness.
Liu, C.C., Chen, G.D., Wang, C.Y. & Pai, C.F. (2001). Student modeling for performance assessment using Bayesian network on web portfolios. In C. Montgomerie & J. Viteli (Eds.), Proceedings of ED-MEDIA 2001--World Conference on Educational Multimedia, Hypermedia & Telecommunications (pp. 1145-1150). Norfolk, VA USA: Association for the Advancement of Computing in Education (AACE). Retrieved March 25, 2023 from https://www.learntechlib.org/primary/p/8674/.
© 2001 Association for the Advancement of Computing in Education (AACE)