The Impact of Tutor Gender Match on Girls' STEM Interest, Engagement, and Performance

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Bibliographic Details
Title: The Impact of Tutor Gender Match on Girls' STEM Interest, Engagement, and Performance
Language: English
Authors: Joshua Bleiberg (ORCID 0000-0003-0291-3244), Carly D. Robinson (ORCID 0000-0002-0663-1589), Evan Bennett (ORCID 0000-0002-0118-9218), Susanna Loeb
Source: American Educational Research Journal. 2026 63(3):514-543.
Availability: SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: https://sagepub.com
Peer Reviewed: Y
Page Count: 30
Publication Date: 2026
Document Type: Journal Articles
Reports - Research
Education Level: Grade 9
High Schools
Junior High Schools
Middle Schools
Secondary Education
Descriptors: Gender Differences, STEM Education, Student Interests, Females, Role Models, Grade 9, Attendance, Self Concept, Mathematics Education, Student Attitudes, Mathematics Teachers, High School Students, Tutors, Student Empowerment, Mathematics Achievement, Algebra, Distance Education, In Person Learning
DOI: 10.3102/00028312261417332
ISSN: 0002-8312
1935-1011
Abstract: Gender disparities in STEM persist despite girls performing as well as boys academically, suggesting girls may benefit from role models who shape their perceptions of STEM. We examine whether female math tutors influence girls' STEM interest, attendance, and performance. We randomly assigned 422 ninth-grade students taking Algebra 1 to a same-gender or opposite-gender tutor. Girls assigned to female tutors reported higher STEM interest (.73 SD) and were more likely to pass the course with a C- or better (3.9 percentage points) than those with male tutors. We found no impact on attendance. Effects were stronger for students working with tutors in-person rather than virtually. We provide the first experimental evidence that female tutors can boost girls' STEM self-concept and academic outcomes.
Abstractor: As Provided
Entry Date: 2026
Accession Number: EJ1505175
Database: ERIC
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