Relation of biology students’ metacognitive monitoring to neural activity during model-based scientific reasoning

Autor: Carrie Clark, McKenna Elliott, Joseph Dauer, Mei Grace Behrendt
Rok vydání: 2023
DOI: 10.21203/rs.3.rs-2874829/v1
Popis: Metacognitive calibration— the capacity to accurately self-assess one’s performance— forms the basis for error detection and self-monitoring, and a potential catalyst for conceptual change. Limited brain imaging research on authentic learning tasks implicates the lateral prefrontal and anterior cingulate brain regions in expert scientific reasoning. This study aimed to determine how variation in undergraduate life sciences students’ metacognitive calibration relates to their brain activity when evaluating the accuracy of biological models. Fifty undergraduate students enrolled in an introductory life sciences course completed a biology model reasoning task during fMRI. Findings suggest that students with higher metacognitive calibration recruit lateral prefrontal regions linked in prior research to expert STEM reasoning. Findings suggest that metacognition relates to important individual differences in undergraduates’ use of neural resources during an authentic educational task and underscore the importance of fostering metacognitive calibration in the classroom.
Databáze: OpenAIRE