Dynamic Task-Oriented Online Discussion for Student Learning: A Practical Model

Dynamic Task-Oriented Online Discussion for Student Learning: A Practical Model

Byron Havard (Mississippi State University, USA), Jianxia Du (Mississippi State University, USA) and Anthony Olinzock (Mississippi State University, USA)
DOI: 10.4018/jicte.2005040106
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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.

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