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Proc Natl Acad Sci U S A ; 116(39): 19251-19257, 2019 09 24.
Artigo em Inglês | MEDLINE | ID: mdl-31484770

RESUMO

We compared students' self-reported perception of learning with their actual learning under controlled conditions in large-enrollment introductory college physics courses taught using 1) active instruction (following best practices in the discipline) and 2) passive instruction (lectures by experienced and highly rated instructors). Both groups received identical class content and handouts, students were randomly assigned, and the instructor made no effort to persuade students of the benefit of either method. Students in active classrooms learned more (as would be expected based on prior research), but their perception of learning, while positive, was lower than that of their peers in passive environments. This suggests that attempts to evaluate instruction based on students' perceptions of learning could inadvertently promote inferior (passive) pedagogical methods. For instance, a superstar lecturer could create such a positive feeling of learning that students would choose those lectures over active learning. Most importantly, these results suggest that when students experience the increased cognitive effort associated with active learning, they initially take that effort to signify poorer learning. That disconnect may have a detrimental effect on students' motivation, engagement, and ability to self-regulate their own learning. Although students can, on their own, discover the increased value of being actively engaged during a semester-long course, their learning may be impaired during the initial part of the course. We discuss strategies that instructors can use, early in the semester, to improve students' response to being actively engaged in the classroom.


Assuntos
Avaliação Educacional/estatística & dados numéricos , Aprendizagem Baseada em Problemas , Estudantes/psicologia , Emoções , Feminino , Feedback Formativo , Humanos , Masculino , Percepção , Física/educação , Estudantes/estatística & dados numéricos , Ensino/psicologia , Universidades
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