Cisnormative Language and Erasure of Trans* and Genderqueer Student Representation in Biology Education Research

Trans* and genderqueer student retention and liberation is integral for equity in undergraduate education. While STEM leadership calls for data-supported systemic change, the erasure and othering of trans* and genderqueer identities in STEM research perpetuates cisnormative narratives. We sought to characterize how sex and gender data are collected, analyzed, and described in biology education research. We reviewed and coded 328 original research studies published in CBE-Life Science Education from 2018 to 2022. Studies often relied upon binary classifications and conflated sex and gender. For instance, terms used to describe sex, such as "male" and "female," were frequently offered as gender options. Only 27 studies (8%) included trans* and genderqueer students in their analysis. Of those that excluded trans* and genderqueer students from analysis, only 23 (7.6%) acknowledged this as a methodological limitation. Further, there has been no temporal trend away from cisnormative language over the 5-year period we analyzed (OR = 1.0, <i>p</i> = 0.93). Our findings show the prevalence of cisnormative language and methodologies in biology education research and demonstrate a lack of representation of trans* and genderqueer individuals. Our results are a call for researchers to critically conceptualize whether and how they investigate gender data in future studies.

Authors

Institutions

Publication Details

Journal
CBE—Life Sciences Education
Published
2024-12-20
DOI
https://doi.org/10.1187/cbe.24-01-0033
Citations
4
Primary Topic
Gender Studies in Language
Type
article
Field-Weighted Citation Impact
3.72
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Cisnormative Language and Erasure of Trans* and Genderqueer Student Representation in Biology Education Research

Marcos E. García‐Ojeda, Katrina M. MacLeod, Kevin M. Bonney, Kris Troy et al.
4 citations
CBE—Life Sciences Education
Gender Studies in Language
3.72
article

Cisnormative Language and Erasure of Trans* and Genderqueer Student Representation in Biology Education Research

Marcos E. García‐Ojeda, Katrina M. MacLeod, Kevin M. Bonney, Kris Troy, Carlos Landaverde, Rachel Hutto, Cara Gormally, Stanley M. Lo, Brock Couch, Jeffrey Maloy, Carly A. Busch, Matthew Flagg, Antony Trinh, Anna Kowalkowski, Kaitlyn Coburn, Tracy Gladding, Blessed Mbogo, Taya Misheva, Rebecca Vides, Erik Wieboldt, Naomi Barber-Choi, Lauryn Famble
article en
4 citations

Abstract

Trans* and genderqueer student retention and liberation is integral for equity in undergraduate education. While STEM leadership calls for data-supported systemic change, the erasure and othering of trans* and genderqueer identities in STEM research perpetuates cisnormative narratives. We sought to characterize how sex and gender data are collected, analyzed, and described in biology education research. We reviewed and coded 328 original research studies published in CBE-Life Science Education from 2018 to 2022. Studies often relied upon binary classifications and conflated sex and gender. For instance, terms used to describe sex, such as "male" and "female," were frequently offered as gender options. Only 27 studies (8%) included trans* and genderqueer students in their analysis. Of those that excluded trans* and genderqueer students from analysis, only 23 (7.6%) acknowledged this as a methodological limitation. Further, there has been no temporal trend away from cisnormative language over the 5-year period we analyzed (OR = 1.0, <i>p</i> = 0.93). Our findings show the prevalence of cisnormative language and methodologies in biology education research and demonstrate a lack of representation of trans* and genderqueer individuals. Our results are a call for researchers to critically conceptualize whether and how they investigate gender data in future studies.

CBE—Life Sciences EducationVol. 24(1)
Tufts University (US), University of Wisconsin–Madison (US), University of California, Santa Barbara (US), University of California, Merced (US), University of California, Los Angeles (US), Loyola University Maryland (US), Bellevue College (US), University of California San Diego (US), Arizona State University (US), New York University (US), Gallaudet University (US), Syracuse University (US)
Quality Education
Openalex Percentile: Top 7%
Gender Studies in Language
3.72
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.