How to build bridges between intelligent tutoring system subfields of research

  • Authors:
  • Philip Pavlik;Joe Toth

  • Affiliations:
  • Human Computer Interaction Institute, Carnegie Mellon Univeristy, Pittsurgh, PA;Human Computer Interaction Institute, Carnegie Mellon Univeristy, Pittsurgh, PA

  • Venue:
  • ITS'10 Proceedings of the 10th international conference on Intelligent Tutoring Systems - Volume Part II
  • Year:
  • 2010

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Abstract

The plethora of different subfields in intelligent tutoring systems (ITS) are often difficult to integrate theoretically when analyzing how to design an intelligent tutor Important principles of design are claimed by many subfields, including but not limited to: design, human-computer interaction, perceptual psychology, cognitive psychology, affective and motivation psychology, statistics, artificial intelligence, cognitive neuroscience, constructivist and situated cognition theories Because these theories and methods sometimes address the same grain size and sometimes different grain sizes they may or may not conflict or be compatible and this has implications for ITS design These issues of theoretical synthesis also have implications for the experimentation that is used by our various subfields to establish principles Because our proposal allows the combination of multiple perspectives, it becomes apparent that the current “forward selection” method of theoretical progress might be limited An alternative “backward elimination” experimental method is explained Finally, we provide examples to illustrate how to build the bridges we propose.