MetaTutor: A MetaCognitive tool for enhancing self-regulated learning

Roger Azevedo, Amy Witherspoon, Amber Chauncey, Candice Burkett, Ashley Fike

Research output: Chapter in Book/Report/Conference proceedingConference contribution

66 Scopus citations


Learning about complex and challenging science topics with advanced learning technologies requires students to regulate their learning. The deployment of key cognitive and metacognitive regulatory processes is key to enhancing learning in open-ended learning environments such as hypermedia. In this paper, we propose a metaphor - Computers as MetaCognitive tools - to characterize the complex nature of the learning context, self-regulatory processes, task conditions, and features of advanced learning technologies. We briefly outline the theoretical and conceptual assumptions of self-regulated learning (SRL) underlying MetaTutor, a hypermedia environment designed to train and foster students' SRL processes in biology. Lastly, we provide preliminary learning outcome and SRL process data on the deployment of SRL processes during learning with MetaTutor.

Original languageEnglish (US)
Title of host publicationCognitive and Metacognitive Educational Systems - Papers from the AAAI Fall Symposium, Technical Report
Number of pages6
StatePublished - 2009
Externally publishedYes
Event2009 AAAI FAll Symposium - Arlington, VA, United States
Duration: Nov 5 2009Nov 7 2009

Publication series

NameAAAI Fall Symposium - Technical Report


Other2009 AAAI FAll Symposium
Country/TerritoryUnited States
CityArlington, VA

ASJC Scopus subject areas

  • Engineering(all)


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