
Dynamic Task-Oriented Online Discussion for Student Learning: A Practical Model
ARTICLE
Byron Havard, Jianxia Du, Anthony Olinzock, Mississippi State University, United States
IJICTE Volume 1, Number 2, ISSN 1550-1876 Publisher: IGI Global
Abstract
A dynamic, task-oriented online discussion model for deep learning in distance education is described and illustrated in this article. Information, methods, and cognition, three general learning processes, provide the foundation on which the model is based. Three types of online discussion are prescribed; flexible peer, structured topic, and collaborative task discussion. The discussion types are paired with tasks encouraging students to build on their adoptive learning, promoting adaptive learning and challenging their cognitive abilities, resulting in deep learning. The online discussion model was applied during two semesters of an online multimedia design for instruction graduate-level course. The strategies for creating dynamic discussion serve to facilitate online interactions among diverse learners and assist in the design of assignments for effective interactions. The model proposed and the strategies for dynamic task-oriented discussion provide an online learning environment in which students learn beyond the course goal.
Citation
Havard, B., Du, J. & Olinzock, A. (2005). Dynamic Task-Oriented Online Discussion for Student Learning: A Practical Model. International Journal of Information and Communication Technology Education, 1(2), 62-73. IGI Global. Retrieved September 21, 2023 from https://www.learntechlib.org/p/186513/.
Cited By
View References & Citations Map-
Online Collaborative Learning and Communication Media
Byron Havard, University of West Florida, United States; Jianxia Du & Jianzhong Xu, Mississippi State University, United States
Journal of Interactive Learning Research Vol. 19, No. 1 (January 2008) pp. 37–50
These links are based on references which have been extracted automatically and may have some errors. If you see a mistake, please contact info@learntechlib.org.