ERIC Number: EJ1410163
Record Type: Journal
Publication Date: 2023
Pages: 19
Abstractor: As Provided
ISBN: N/A
ISSN: N/A
EISSN: EISSN-1931-7913
Available Date: N/A
Missed Connections: Exploring Features of Undergraduate Biology Students' Knowledge Networks Relating Gene Regulation, Cell--Cell Communication, and Phenotypic Expression
Sharleen Flowers; Kal H. Holder; Gabrielle K. Rump; Stephanie M. Gardner
CBE - Life Sciences Education, v22 n4 Article 44 2023
Explaining biological phenomena requires understanding how different processes function and describing interactions between components at various levels of organization over time and space in biological systems. This is a desired competency yet is a complicated and often challenging task for undergraduate biology students. Therefore, we need a better understanding of their integrated knowledge regarding important biological concepts. Informed by the theory of knowledge integration and mechanistic reasoning, in this qualitative case study, we elicited and characterized knowledge networks of nine undergraduate biology students. We investigated students' conceptions of and the various ways they connect three fundamental subsystems in biology: 1) gene regulation, 2) cell--cell communication, and 3) phenotypic expression. We found that only half of the conceptual questions regarding the three subsystems were answered correctly by the majority of students. Knowledge networks tended to be linear and unidirectional, with little variation in the types of relationships displayed. Students did not spontaneously express mechanistic connections, mainly described undefined, cellular, and macromolecular levels of organization, and mainly discussed unspecified and intracellular localizations. These results emphasize the need to support students' understanding of fundamental concepts, and promoting knowledge integration in the classroom could assist students' ability to understand biological systems.
Descriptors: Undergraduate Students, Cytology, Biology, Scientific Concepts, Knowledge Level, Networks, Prior Learning
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Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education; Postsecondary Education
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Language: English
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Author Affiliations: N/A