Influence of colearner agent gehavior on learner performance and attitudes

Authors:
Wendy Ju;Seth Nickell;Katherine Eng;Clifford Nass
Affiliations:
Stanford University, Stanford, CA;Stanford University, Stanford, CA;Stanford University, Stanford, CA;Stanford University, Stanford, CA
Venue:
CHI '05 Extended Abstracts on Human Factors in Computing Systems
Year:
2005

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Abstract

This study examines the effect of colearner agent performance and social behavior on learner performance and subjective satisfaction in an interactive learning environment. In this 2 (high- or low-performing colearner) by 2 (socially supportive or competitive colearner) experiment (N=44), participants learned Morse Code alongside an agent colearner. Participants with high-scoring colearner agents performed significantly better than participants with low-scoring colearners. Participants liked and felt liked by socially supportive agents more than they did socially competitive agent participants. Implications for developing educational software are discussed.