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Automated Writing Assessments Measure Undergraduate Learning after Completion of a Computer-Based Cellular Respiration Tutorial.
Uhl, Juli D; Sripathi, Kamali N; Meir, Eli; Merrill, John; Urban-Lurain, Mark; Haudek, Kevin C.
Afiliação
  • Uhl JD; CREATE for STEM Institute, Michigan State University, East Lansing, MI 48824.
  • Sripathi KN; UC Davis Genome Center, Biomedical Engineering, Davis, CA 95616.
  • Meir E; SimBiotic Software, Inc., Missoula, MT 59807.
  • Merrill J; Department of Biochemistry and Molecular Biology, Michigan State University, East Lansing, MI 48824.
  • Urban-Lurain M; CREATE for STEM Institute, Michigan State University, East Lansing, MI 48824.
  • Haudek KC; CREATE for STEM Institute, Michigan State University, East Lansing, MI 48824.
CBE Life Sci Educ ; 20(3): ar33, 2021 09.
Article em En | MEDLINE | ID: mdl-34100647
ABSTRACT
The focus of biology education has shifted from memorization to conceptual understanding of core biological concepts such as matter and energy relationships. To examine undergraduate learning about matter and energy, we incorporated constructed-response (CR) questions into an interactive computer-based tutorial. The objective of this tutorial is to teach students about matter and energy and help dispel common misconceptions through the context of cellular respiration. We used a constructed-response classifier (CRC) tool to categorize ideas in responses to three CR questions and measure changes in student thinking about cellular respiration. Our data set includes 841 undergraduates from 19 geographically diverse institutions including two-year colleges, primarily undergraduate institutions, and research-intensive colleges and universities. We found students from all institution types included more scientific ideas in CRs post-tutorial. Students used an average of 2.1 ideas in CRs and frequently used both scientific and developing ideas. We found this mixed thinking persisted after the tutorial regardless of institution type. Students' multiple-choice (MC) selections were correlated with their CRs, but CRs revealed more mixed thinking than would be inferred from MC responses. Our study shows a CRC tool can measure student learning after a computer-based tutorial and provides more complete information than MC responses.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Estudantes / Aprendizagem Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Estudantes / Aprendizagem Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article