You are here:

Using data mining as a strategy for assessing asynchronous discussion forums


Computers & Education Volume 45, Number 1, ISSN 0360-1315 Publisher: Elsevier Ltd


The purpose of this paper is to show how data mining may offer promise as a strategy for discovering and building alternative representations for the data underlying asynchronous discussion forums. Presently, the instructor's view of the output of a threaded forum is limited to reviewing a transcript or print version of the written dialogue produced by participants. With potentially hundreds of contributions to review for an entire online course, the instructor lacks a comprehensive view of the information embedded in the transcript. In this context, the authors attempt to sort out the question, “what is data from an online forum?” among other key questions. The present work seeks to intersect the information (i.e., participation indicators) an instructor may wish to extract from the forum with viewable and useful information that the system could produce from the instructor's query. Temporal participation indicators are used to show how using data and text mining techniques in the query process could improve the instructor's ability to evaluate the progress of a threaded discussion.


Dringus, L.P. & Ellis, T. (2005). Using data mining as a strategy for assessing asynchronous discussion forums. Computers & Education, 45(1), 141-160. Elsevier Ltd. Retrieved November 29, 2022 from .

This record was imported from Computers & Education on January 30, 2019. Computers & Education is a publication of Elsevier.

Full text is availabe on Science Direct:


Cited By

View References & Citations Map

These links are based on references which have been extracted automatically and may have some errors. If you see a mistake, please contact