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Content-Based and Cognitive-Linguistic Analysis of Cell Membrane Biology

Educational Reconstruction of Scientific Conceptions

Bibliographic Data

ID22048959
AuthorsLeonie Johann (0000-0001-6293-6697, Nord University, corresponding author), Jorge Groß (0000-0002-3525-9448, University of Bamberg), Denis Messig (0000-0001-6508-7504, University of Bamberg), Fredrik Rusk (0000-0003-1916-1499, Nord University)
Year2020
Volume10
Issue6
Pages151
Publication date2020-05-28
Open AccessYes
TypeARTICLE
VenueEducation Sciences (JOURNAL)
Journal identifiersISSN: 2227-7102 • E-ISSN: 2227-7102
PublisherMDPI AG (PUBLISHER • IT)
DOI10.3390/educsci10060151
OpenAlexW3030047283
LanguageEN
Citations received1
References cited39

By means of their pivotal role in the outbreak of a variety of diseases, such as, recently, COVID-19, the molecular aspects of cell membrane function have gained considerable attention from researchers in recent decades. The resulting information explosion and the growing interdisciplinary character of cell biology seems, however, to not be represented in science classrooms. Hence, there appears to be a gap between what is scientifically known and what is actually taught in classrooms. Framed by the model of educational reconstruction (MER), the aim of our study is therefore to identify scientific core ideas of cell membrane biology from an educational point of view. This is achieved by conducting qualitative content analysis of relevant cell biology literature. By using Conceptual Metaphor as a theory of understanding, we additionally illuminate the experiential grounding of scientific conceptions. Our results propose that cell membrane biology can be structured into three core ideas, comprising compartmentalisation, physical and chemical properties, and multicellular coordination interrelated by evolution as a key aspect. Our results show that scientists conceive these ideas metaphorically. Embodied part-whole relations seem, for example, to lay the grounds for their understanding of biological function. The outcomes of the study may inform future cell membrane teaching

Biology · Cell · Cognition · Cognitive science · Embodied cognition · Engineering ethics · Epistemology · Evolutionary biology · Experiential learning · Linguistics · Mathematics education · Metaphor · Multicellular organism · Sociology · Computer Science · Language, Metaphor, and Cognition · Machine Learning in Bioinformatics · Neuroscience · Philosophy · Psychology · Artificial Intelligence

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Citations per year1
Citation span2026 - 2026 (1)
Highly citedNo

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