Deepening Undergraduate Students’ Thinking about Central Dogma through Problem-Based Learning

Katherine Alberta Sharp, Rebecca Mc Nall Krall, Jeffrey Chalfant

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

A common belief among pre-medical and medical students is that biochemistry is not relevant to practicing medicine. The problem-based approach of case studies has been used in medical education to scaffold the application of content to clinical cases, but few studies report on a similar use in undergraduate biochemistry. Case studies in biochemistry and related disciplines have been previously reported as increasing learning motivation and supporting depth of knowledge. Additionally, students engaging in case studies outperform students in traditional instruction. The objective of this qualitative case study was to find how the timing of a medical case study within the instructional sequence in an undergraduate biochemistry course supported students in applying the central dogma of molecular biology to explain the transfer of Huntington’s disease from parent to child. The CBL+ group reviewed the case study before class while the CBL− group was presented with the case study during class. Analysis of open response tasks added to the pre- and post-surveys suggested that the case study supported both groups in applying the central dogma to the case, but the earlier presentation of the case to the CBL+ group promoted deeper thinking about the mechanistic causation of the transfer of the disease.

Original languageEnglish
Article number854
JournalEducation Sciences
Volume13
Issue number9
DOIs
StatePublished - Sep 2023

Bibliographical note

Publisher Copyright:
© 2023 by the authors.

Keywords

  • case-based learning
  • central dogma
  • undergraduate biochemistry

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Education
  • Physical Therapy, Sports Therapy and Rehabilitation
  • Developmental and Educational Psychology
  • Public Administration
  • Computer Science Applications

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