Motivationally Intelligent Systems: Diagnosis and Feedback

  • Authors:
  • Benedict Du Boulay;Genaro Rebolledo Méndez;Rosemary Luckin;Erika Martínez-Mirón

  • Affiliations:
  • Human Centred Technology Group, University of Sussex, Brighton, BN1 9QJ UK;Human Centred Technology Group, University of Sussex, Brighton, BN1 9QJ UK;The London Knowledge Lab, University of London, London WC1N 3QS UK;Centro de Ciencias Aplicadas y Desarrollo Tecnológico, Universidad Nacional, Autónoma de México, México 04510

  • Venue:
  • Proceedings of the 2007 conference on Artificial Intelligence in Education: Building Technology Rich Learning Contexts That Work
  • Year:
  • 2007

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Abstract

: Motivationally intelligent systems deploy resources and tactics dynamically to maintain or increase the student's desire to learn and her willingness to expend effort in so doing. Three categories of diagnostic inputs and feedback reactions are outlined each with its associated meta-level. The meta-level includes the account which learners tell themselves, the system and others about what they know, how they feel, and the conditions under which they learn best.