Title: Exploring the effectiveness of a novel feedback mechanism within an intelligent tutoring system
Authors: Jeremiah Sullins; Scotty D. Craig; Xiangen Hu
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.
Int. J. of Learning Technology, 2015 Vol.10, No.3, pp.220 - 236
Available online: 10 Oct 2015