Algebra is not like trivia: Evaluating self-assessment in an online math tutor

Rachel A. Jansen, Anna N. Rafferty, Thomas L. Griffiths

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

3 Scopus citations

Abstract

Appraising one's own performance after a task, known as self-assessment, has been studied from a cognitive science perspective in domains such as humor, trivia, and logic. Previous studies have found that participants are systematically poor at judging their own performance, though sometimes self-assessment varies based on actual performance. We explored calibration of self-assessment on algebra problems, a domain where people have typically received explicit instruction. In this domain, we found that people do not behave as they do in other domains previously studied: they are generally well-calibrated in judging their algebra performance. This suggests that in the course of learning to solve algebra problems, people have also learned to accurately judge their performance, both absolutely and relative to others.

Original languageEnglish (US)
Title of host publicationCogSci 2017 - Proceedings of the 39th Annual Meeting of the Cognitive Science Society
Subtitle of host publicationComputational Foundations of Cognition
PublisherThe Cognitive Science Society
Pages2284-2289
Number of pages6
ISBN (Electronic)9780991196760
StatePublished - 2017
Externally publishedYes
Event39th Annual Meeting of the Cognitive Science Society: Computational Foundations of Cognition, CogSci 2017 - London, United Kingdom
Duration: Jul 26 2017Jul 29 2017

Publication series

NameCogSci 2017 - Proceedings of the 39th Annual Meeting of the Cognitive Science Society: Computational Foundations of Cognition

Conference

Conference39th Annual Meeting of the Cognitive Science Society: Computational Foundations of Cognition, CogSci 2017
Country/TerritoryUnited Kingdom
CityLondon
Period7/26/177/29/17

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Science Applications
  • Human-Computer Interaction
  • Cognitive Neuroscience

Keywords

  • algebra
  • calibration
  • intelligent tutor
  • self-assessment

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