Modeling Student Performance to Enhance the Pedagogy of AutoTutor

  • Tanner Jackson
  • Eric Mathews
  • King-Ip Lin
  • Andrew Olney
  • Art Graesser
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2702)


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’ knowledge in this fashion, AutoTutor successfully adapted its pedagogy to match the ideal strategy for students’ ability.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Tanner Jackson
    • 1
  • Eric Mathews
    • 1
  • King-Ip Lin
    • 2
  • Andrew Olney
    • 1
  • Art Graesser
    • 1
  1. 1.Department of PsychologyUniversity of MemphisMemphisUSA
  2. 2.Department of Computer ScienceUniversity of MemphisMemphisUSA

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