Publication Date

3-2026

Abstract

Purpose: This study explores how middle-grade girls from predominantly underrepresented and underserved racially and ethnically minoritized (UUREM) backgrounds developed critical data literacy (CDL) through participation in a week-long residential STEM camp. Given the increasing importance of data science education in a data-driven world, this research examines how informal learning environments can support CDL development among youth from historically marginalized groups.

Design/Methodology/Approach: The study draws on qualitative interview data from eleven participants, and their group-produced artifacts to investigate how the camp experience supported engagement with data and the development of CDL. Interviews explored participants' experiences with data collection, organization, analysis, and interpretation within the context of real-world, community-relevant topics.

Findings: Our findings demonstrate that participants engaged with data by collecting, organizing, and analyzing information relevant to authentic problems. Meaning-making was facilitated through social interactions with peers and mentors, enabling participants to collaboratively interpret and critique data. Girls demonstrated critical examination of data by questioning sources, identifying limitations, and considering potential biases. Through presentations, participants applied and communicated their findings, connecting data analyses to community-relevant concerns. Reflection and iteration emerged as participants reconsidered their approaches and interpretations over time.

Originality/Value: This study contributes to research on informal learning, equity in STEM, and data literacy by illustrating how informal STEM programs can intentionally foster CDL among UUREM girls. The findings highlight the role of collaborative meaning-making, critical reflection, and community relevance in supporting youth to engage with data as a tool for understanding and addressing societal challenges.

Document Type

Article

Keywords

critical data literacy; data science education; data feminism; girls in STEM; informal learning; middle school; reasoning with data; underrepresented and minoritized girls

Disciplines

Civic and Community Engagement | Community-Based Learning | Data Science | Gender Equity in Education | Information Literacy | Junior High, Intermediate, Middle School Education and Teaching | Science and Mathematics Education | Secondary Education | Social Justice

Publisher

Emerald Publishing

Format

.pdf

Source

Information and Learning Sciences

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DOI

 https://doi.org/https://doi.org/10.1108/ILS-07-2025-0102