Title: Exploring the effectiveness of a novel feedback mechanism within an intelligent tutoring system
Authors: Jeremiah Sullins; Scotty D. Craig; Xiangen Hu
Addresses: Department of Behavioral Sciences, Harding University, USA ' Department of Technological Entrepreneurship and Innovation Management, Cognitive Science and Engineering Unit, Arizona State University, USA ' Department of Psychology, University of Memphis, USA
Abstract: The purpose of this study was to explore the effectiveness of a new feedback mechanism within an intelligent tutoring system called AutoTutor LITE. Participants were randomly assigned to one of three feedback manipulation conditions within the context of complex scientific material: 1) learners' characteristics curves; 2) random; 3) no feedback. Results revealed that the participants receiving the new feedback mechanism (LCC) showed significantly higher learning gains when compared to the random feedback or no feedback manipulations. Additionally, there were no differences discovered between random feedback and no feedback. Interpretation and implications of results are discussed.
Keywords: intelligent tutoring systems; ITS; feedback; learning technologies; cognition.
International Journal of Learning Technology, 2015 Vol.10 No.3, pp.220 - 236
Available online: 10 Oct 2015 *Full-text access for editors Access for subscribers Purchase this article Comment on this article