Detecting signals of critical transition in inclusive teaching in biology education: A computational text analysis of <i>CourseSource</i>

Sokona Mangane, Yuhao Zhao, Carrie Diaz Eaton

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DOI: 10.1101/2023.08.31.555773
Published: 2023-09-01
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Publisher: openRxiv
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Cite this work

BibTeX

@article{allodium:10.1101/2023.08.31.555773,
  title = {Detecting signals of critical transition in inclusive teaching in biology education: A computational text analysis of
                  <i>CourseSource</i>},
  author = {Sokona Mangane and Yuhao Zhao and Carrie Diaz Eaton},
  year = {2023},
  doi = {10.1101/2023.08.31.555773},
  url = {https://doi.org/10.1101/2023.08.31.555773}
}

RIS

TY  - JOUR
TI  - Detecting signals of critical transition in inclusive teaching in biology education: A computational text analysis of
                  <i>CourseSource</i>
AU  - Sokona Mangane
AU  - Yuhao Zhao
AU  - Carrie Diaz Eaton
PY  - 2023
DO  - 10.1101/2023.08.31.555773
UR  - https://doi.org/10.1101/2023.08.31.555773
ER  -

APA

Mangane, S., Zhao, Y., & Eaton, C. D. (2023). Detecting signals of critical transition in inclusive teaching in biology education: A computational text analysis of <i>CourseSource</i>. https://doi.org/10.1101/2023.08.31.555773

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crossref · retrieved 2026-09-25T07:43:48.000Z