You are here:

Computer-Mediated Counter-Arguments and Individual Learning

, ,

Journal of Educational Technology & Society Volume 14, Number 4, ISSN 1176-3647 e-ISSN 1176-3647


This study explores a de-bias function for a decision support systems (DSS) that is designed to help a user avoid confirmation bias by increasing the user's learning opportunities. Grounded upon the theory of mental models, the use of DSS is viewed as involving a learning process, whereby a user is directed to build mental models so as to reduce the tendency to consider only data that supports any preexisting mental models. The results of an experiment suggest that a de-bias function, called computer-mediated counter-argument (CMCA), facilitates individual learning and improves decision satisfaction. (Contains 7 tables and 2 figures.)


Hsu, J.S.C., Huang, H.H. & Linden, L.P. (2011). Computer-Mediated Counter-Arguments and Individual Learning. Journal of Educational Technology & Society, 14(4), 111-123. Retrieved March 7, 2021 from .

This record was imported from ERIC on April 19, 2013. [Original Record]

ERIC is sponsored by the Institute of Education Sciences (IES) of the U.S. Department of Education.

Copyright for this record is held by the content creator. For more details see ERIC's copyright policy.