Modeling student performance to enhance the pedagogy of autoTutor

The Tutoring Research Group from the University of Memphis has developed a pedagogically effective Intelligent Tutoring System (ITS), called AutoTutor, that implements conversational dialog as a tutoring strategy for conceptual physics. Latent Semantic Analysis (LSA) is used to evaluate the quality of student contributions and determine what dialog moves AutoTutor gives. By modeling the students\u27 knowledge in this fashion, AutoTutor successfully adapted its pedagogy to match the ideal strategy for students\u27 ability