University students’ achievement goals and help-seeking strategies in an intelligent tutoring system

B. Vaessen, F. Prins, J.T. Jeuring

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Help seeking behavior in an intelligent tutoring system was analyzed to identify help
seeking strategies, and it was investigated whether the use of these strategies could be
predicted by achievement goal scores. Five strategies were identified, three of which were
predicted by achievement goal scores. These strategies were labeled Little Help, Click
through Help, Direct Solution, Step By Step, and Quick Solution. The Click Through Help
strategy was predicted by mastery avoidance goals, the Direct Solution strategy was
negatively predicted by mastery avoidance goals and positively predicted by performance
avoidance goals, and the Quick Solution strategy was negatively predicted by performance
approach goals.
Original languageEnglish
Pages (from-to)196-208
Number of pages13
JournalComputers and Education
Volume72
Early online date14 Nov 2013
DOIs
Publication statusPublished - Mar 2014

Keywords

  • Intelligent tutoring systems; Interactive learning environments; Learning strategies

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