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Examining the role of self-efficacy and online metacognitive monitoring behaviors in undergraduate life science education

Cited 10 time in Web of Science Cited 13 time in Scopus
Authors

Huang, Xing; Bernacki, Matthew L.; Kim, Dongho; Hong, Wonjoon

Issue Date
2022-08
Publisher
Pergamon Press Ltd.
Citation
Learning and Instruction, Vol.80, p. 101577
Abstract
In STEM education, a thorough understanding of the interaction of self-efficacy and metacognitive monitoring behaviors is needed to refine theories and inform the design of instructional supports for students with varying levels of motivation and self-regulation skills. We examined how students' (n = 1063) exam scores in an un-dergraduate life science course were influenced by their self-efficacy and online metacognitive monitoring be-haviors by integrating variable-centered and person-centered approaches. In a semester-long study, students' self-efficacy judgements made at the end of the semester were stronger predictors of students' final exam per-formance than those made at the beginning of the semester. Results further suggested that the influence of self-efficacy on exam scores decreased as online monitoring behaviors increased. Students' prior GPA predicted membership in three latent profiles indicated by 1) high self-efficacy with high metacognitive monitoring ac-tivity; 2) high self-efficacy with low metacognitive monitoring activity; and 3) low self-efficacy with low met-acognitive monitoring activity. Learners with high self-efficacy and high monitoring activity outperformed those with high self-efficacy and low monitoring, who outperformed those with low self-efficacy and low monitoring on exams.
ISSN
0959-4752
URI
https://hdl.handle.net/10371/219120
DOI
https://doi.org/10.1016/j.learninstruc.2021.101577
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  • College of Agriculture and Life Sciences
  • Department of Vocational Education and Workforce Development
Research Area AI-Human Interaction, People Analytics, Technology-Based Career Development

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