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

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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. © 2011 Springer-Verlag.

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Peña, A., Kayashima, M., Mizoguchi, R., & Dominguez, R. (2011). Improving students’ meta-cognitive skills within intelligent educational systems: A review. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6780 LNAI, pp. 442–451). https://doi.org/10.1007/978-3-642-21852-1_51

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