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.