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Why representation matters: Interpreting data to identify factors that affect Black students’ persistence in STEM

Author(s): Suann Yang1, Catherine Quinlan2

1. State University of New York College at Geneseo 2. Howard University

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Summary:
In this lesson, learners interpret a table summarizing the factors influencing the persistence of Black students at an HBCU. Then, learners view and reflect on an interview with science education researcher Dr. Catherine Quinlan, who collected the…

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In this lesson, learners interpret a table summarizing the factors influencing the persistence of Black students at an HBCU. Then, learners view and reflect on an interview with science education researcher Dr. Catherine Quinlan, who collected the data that they interpreted.

Licensed under CC Attribution-NonCommercial-ShareAlike 4.0 International according to these terms

Version 1.0 - published on 22 Aug 2022 doi:10.25334/7B59-SJ83 - cite this

Keywords

  1. biology
  2. data interpretation
  3. hbcu
  4. Self-Efficacy
  5. BioGraphI
  6. representation in STEM
  7. #BIPOCinSTEM
  8. Black representation in STEM

Alignments

  1. Resource Type
  2. Audience Level
  3. Activity Length
  4. Inclusive Pedagogy for Life Science Education
  5. QUBES Universal Design Tagging Ontology
  6. Open Science and Education Practices Ontology
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Version Released DOI Handle Status
1.0 Aug 22, 2022 10.25334/7B59-SJ83 published view version »
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