Macro-adaptation in Conversational Intelligent Tutoring Matters

  • Vasile Rus
  • Dan Stefanescu
  • William Baggett
  • Nobal Niraula
  • Don Franceschetti
  • Arthur C. Graesser
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8474)

Abstract

We present in this paper the findings of a study on the role of macro-adaptation in conversational intelligent tutoring. Macro-adaptivity refers to a system’s capability to select appropriate instructional tasks for the learner to work on. Micro-adaptivity refers to a system’s capability to adapt its scaffolding while the learner is working on a particular task. We compared an intelligent tutoring system that offers both macro- and micro-adaptivity (fully-adaptive) with an intelligent tutoring system that offers only micro-adaptivity. Experimental data analysis revealed that learning gains were significantly higher for students randomly assigned to the fully-adaptive intelligent tutor condition compared to the micro-adaptive-only condition.

Keywords

macro-adaptation intelligent tutoring systems assessment 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Vasile Rus
    • 1
  • Dan Stefanescu
    • 1
  • William Baggett
    • 1
  • Nobal Niraula
    • 1
  • Don Franceschetti
    • 1
  • Arthur C. Graesser
    • 1
  1. 1.The University of MemphisMemphisUSA

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