Metacognitive Tutoring Systems (MTS)

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Author(s): Joaquin Navarro Perales (Universidad Nacional Autónoma de México, Mexico), Luis De La Fuente Valentín (Universidad Internacional de La Rioja, Mexico)and Francisco Cervantes Pérez (Universidad Internacional de La Rioja, Mexico)
Copyright: 2025
Pages: 13
Source title: Encyclopedia of Information Science and Technology, Sixth Edition
Source Author(s)/Editor(s): Mehdi Khosrow-Pour, D.B.A. (Founding Editor-in-Chief, Information Resources Management Journal (IRMJ), USA)
DOI: 10.4018/978-1-6684-7366-5.ch044

Keywords: Computer Science & IT / Global Information Technology / Information Science Reference

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Abstract

Intelligent tutoring systems (ITSs) are computational learning support systems based on the use of artificial intelligence. These systems can be used to customize educational content, learning paths, interfaces, and feedback according to learners' current capabilities. Among the learners' capabilities, it is common to address three dimensions: cognition, affect, and metacognition. The first refers to information processing, the second to emotions during learning, and the third to the monitoring of cognition. This chapter, per the authors, introduces and discusses the meaning of metacognition, the architecture of ITSs, and how the ITSs could support metacognition, then mentions some journals and conferences about these systems, describes four successful application examples, and presents some recommendations and future research directions. It also proposes that this type of systems be grouped under the term metacognitive tutoring systems (MTS).

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