Challenges in Identifying Text-Based Biases in Ethnicity and Inclusivity in Learning Materials: Insights from Teacher Module-Writers

Abstract Purpose: Learning materials are tools to promote inclusivity and cultural awareness. The present study examines the challenges public school teacher module-writers encountered in identifying text-based biases in the textbooks and other learning materials they used, focusing on biases in ethnicity and inclusivity. Patients and methods: The study employs the descriptive survey design of quantitative research, wherein the needed data are gathered through a questionnaire to thirty (30) public school teachers who are module-writers and are purposively selected. The data collected are analyzed using descriptive statistics (mean and standard deviation). Results: The findings highlight challenges addressing ethnicity and inclusivity biases in learning materials, including accessing culturally sensitive resources and evaluating inclusive materials. These insights form the basis for a training proposal to identify text-based biases and promote cultural awareness among teacher module-writers. Continuous implementation and expansion of this training to other schools are recommended for sustainable professional development. Conclusion: The challenges in addressing ethnicity and inclusivity biases in learning materials highlight the need for continuous training and resource support to promote sustainable professional development across schools and among teachers.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-14
DOI
https://doi.org/10.5281/zenodo.15031457
Primary Topic
Education Practices and Evaluation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Challenges in Identifying Text-Based Biases in Ethnicity and Inclusivity in Learning Materials: Insights from Teacher Module-Writers

Zenodo (CERN European Organization for Nuclear Research)
Education Practices and Evaluation
article

Challenges in Identifying Text-Based Biases in Ethnicity and Inclusivity in Learning Materials: Insights from Teacher Module-Writers

article en

Abstract

Abstract Purpose: Learning materials are tools to promote inclusivity and cultural awareness. The present study examines the challenges public school teacher module-writers encountered in identifying text-based biases in the textbooks and other learning materials they used, focusing on biases in ethnicity and inclusivity. Patients and methods: The study employs the descriptive survey design of quantitative research, wherein the needed data are gathered through a questionnaire to thirty (30) public school teachers who are module-writers and are purposively selected. The data collected are analyzed using descriptive statistics (mean and standard deviation). Results: The findings highlight challenges addressing ethnicity and inclusivity biases in learning materials, including accessing culturally sensitive resources and evaluating inclusive materials. These insights form the basis for a training proposal to identify text-based biases and promote cultural awareness among teacher module-writers. Continuous implementation and expansion of this training to other schools are recommended for sustainable professional development. Conclusion: The challenges in addressing ethnicity and inclusivity biases in learning materials highlight the need for continuous training and resource support to promote sustainable professional development across schools and among teachers.

Zenodo (CERN European Organization for Nuclear Research)
Bataan Peninsula State University (PH)
Quality Education
Openalex Percentile: Top 55%
Education Practices and Evaluation
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.

Challenges in Identifying Text-Based Biases in Ethnicity and Inclusivity in Learning Materials: Insights from Teacher Module-Writers · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS