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Schedule

  • Session 1: Introduction to AutoTutor. 
    • 9:00-9:15 Introduction – Introduction of presenters and participants
    • 9:15-10:30 Overview and Demo of AutoTutor Systems
  • Coffee Break. 
  • Session 2: AutoTutor Script Authoring Tool. 
    • 11:00-12:30 A step by step guide to creating an AutoTutor lesson
  • Lunch Break. 
  • Session 3: Student Models and Learning Analytics. 
    • 14:00-15:30. Student Models in AutoTutor
  • Session 4: Learning Analytics for AutoTutor. 
    • 16:00-17:30 AutoTutor log data analysis by using Bayesian Knowledge Tracing (BKT), Learning Factors Analysis (LFA)