Mining forums for asynchronous learning in distance education: faculty poster

  • Authors:
  • Songmei Yu;Sofya Poger;Alberto LaCava

  • Affiliations:
  • Felician College, Lodi, NJ;Felician College, Lodi, NJ;Felician College, Lodi, NJ

  • Venue:
  • Journal of Computing Sciences in Colleges
  • Year:
  • 2011

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Abstract

Distance Education is a process of delivery of instructional resources online. It is a flexible form of education where a student can study from home, work, or wherever else is convenient. Computer based teaching materials, online conferencing, discussion boards, e-mail, and other techniques are used in distance education. The information can be delivered synchronously and asynchronously. The example of synchronous method of delivery is Web conferencing where all participants are "present" online at the same time. The discussions boards, e-mail and recorded video are examples of asynchronous method of delivery, where participants access course material at their own schedule [1]. Online discussions and forums allow students and instructors to exchange the ideas, research and information. The aim of this research is to apply data mining techniques to discussions boards and forums to measure the student participation and performance. In this research, we plan to introduce and implement the AWK (Author Weighted Keywords) Algorithm as a tool to measure the student performance and learning capabilities by monitoring their participation in distance learning forums, extract discussion topics for later comers and help instructors to guide the online discussions.