The evolution of metacognitive strategy use in an open-ended learning environment: Do prior domain knowledge and motivation play a role?

Yingbin Zhang, Luc Paquette, Nigel Bosch, Jaclyn Ocumpaugh, Gautam Biswas, Stephen Hutt, Ryan S. Baker

Research output: Contribution to journalArticlepeer-review

Abstract

There is a growing interest in viewing self-regulated learning as events unfolding over time, especially when students perform learning tasks in computer-based environments. Metacognitive activities are critical events in self-regulated learning. This study investigated the evolution of metacognitive strategy use in an open-ended computer-based learning environment, Betty's Brain. The data were from 93 sixth graders who used Betty's Brain to learn about climate change for four days. We extracted indicators of metacognitive strategy use from action logs. A knowledge test and self-report questionnaire were administrated before students started using Betty's Brain to assess prior domain knowledge and motivation, respectively. Results showed that metacognitive strategy use increased from the first to the second day and remained stable from the second to the fourth day of the study. The evolution of these behaviors varied across students. Task value and prior domain knowledge partially explained the individual differences in this evolution. Task value and prior domain knowledge also predicted the use of metacognitive strategies. Self-efficacy did not influence metacognitive strategy use. These results suggest the need for further investigation into the role of motivation and prior domain knowledge in the temporal evolution of metacognitive events.

Original languageEnglish (US)
Article number102064
JournalContemporary Educational Psychology
Volume69
DOIs
StatePublished - Apr 2022

Keywords

  • Metacognitive strategy
  • Prior domain knowledge
  • Self-efficacy
  • Self-regulated learning
  • Task value

ASJC Scopus subject areas

  • Education
  • Developmental and Educational Psychology

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