Improving students' meta-cognitive skills within intelligent educational systems: a review

  • Authors:
  • Alejandro Peña;Michiko Kayashima;Riichiro Mizoguchi;Rafael Dominguez

  • Affiliations:
  • WOLNM and ESIME-Z & CIC -National Polytechnic Institute, Leyes Reforma, DF, Mexico and Institute of Scientific and Industrial Research, Osaka University, Ibaraki, Osaka, Japan;College of Humanities, Tamagawa University, Japan, Machida, Tokyo, Japan;Institute of Scientific and Industrial Research, Osaka University, Ibaraki, Osaka, Japan;ESIME-Z & CIC -National Polytechnic Institute, Leyes Reforma, DF, Mexico

  • Venue:
  • FAC'11 Proceedings of the 6th international conference on Foundations of augmented cognition: directing the future of adaptive systems
  • Year:
  • 2011

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Abstract

Metacognition aims at monitoring and regulating one's thinking devoted to problem-solving processes and learning habits among others cognitive tasks. Hence, individuals engaged in better acquisition of domain knowledge achieve higher scores when they are bewaring of how to exploit their metacognitive faculties. Thus, we present a review of some models and methods with the purpose to understand what metacognition is and know how stimulate metacognitive skills. In addition, we propose a Metacognition-Driven Learning paradigm as a reference to guide the design of Intelligent Educational Systems oriented to improve students' metacognitive skills.