Gender differences in effective feedback practices of computer science teachers in programming education

Abstract Programming education has become an important component of K–12 curricula worldwide. A key element of this educational transition is feedback, which facilitates the identification of misconceptions and supports iterative learning processes underlying coding mastery. Framed by Wiggins’ keys and sociocultural theory, this research investigates the influence of teacher gender on programming feedback practices among CS teachers in Saudi Arabia. Using mixed-methods research design, the study employed a semi-structured questionnaire to analyze the intersection of gender and feedback strategies. Findings indicate that while both male and female educators utilize Wiggins’ Seven Keys to feedback, female teachers report significantly higher implementation across all dimensions. Data shows no significant gender variance in the use of group, electronic, AI, or self-feedback; however, female teachers utilize individual and peer feedback more frequently. Qualitative analysis further categorizes these practices into three primary domains: teacher-based, student-based, and technology-based strategies. By highlighting the varied approaches CS teachers use to scaffold student learning, this study contributes to the global discourse on CS pedagogy and demonstrates how adaptable feedback strategies can enhance the effectiveness of the K–12 programming environment.

Authors

Institutions

Publication Details

Journal
Humanities and Social Sciences Communications
Published
2026-10-30
DOI
https://doi.org/10.1057/s41599-026-09585-8
Primary Topic
Teaching and Learning Programming
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Gender differences in effective feedback practices of computer science teachers in programming education

Ahmad Zaid Almassaad, Hayat Alajlan, Reem Alebaikan
1 links
Humanities and Social Sciences Communications
Teaching and Learning Programming
article

Gender differences in effective feedback practices of computer science teachers in programming education

Ahmad Zaid Almassaad, Hayat Alajlan, Reem Alebaikan
article en

Abstract

Abstract Programming education has become an important component of K–12 curricula worldwide. A key element of this educational transition is feedback, which facilitates the identification of misconceptions and supports iterative learning processes underlying coding mastery. Framed by Wiggins’ keys and sociocultural theory, this research investigates the influence of teacher gender on programming feedback practices among CS teachers in Saudi Arabia. Using mixed-methods research design, the study employed a semi-structured questionnaire to analyze the intersection of gender and feedback strategies. Findings indicate that while both male and female educators utilize Wiggins’ Seven Keys to feedback, female teachers report significantly higher implementation across all dimensions. Data shows no significant gender variance in the use of group, electronic, AI, or self-feedback; however, female teachers utilize individual and peer feedback more frequently. Qualitative analysis further categorizes these practices into three primary domains: teacher-based, student-based, and technology-based strategies. By highlighting the varied approaches CS teachers use to scaffold student learning, this study contributes to the global discourse on CS pedagogy and demonstrates how adaptable feedback strategies can enhance the effectiveness of the K–12 programming environment.

Humanities and Social Sciences Communications
King Saud University (SA)
King Saud University
Quality education, Gender equality, Reduced inequalities
Openalex Percentile: Top 7%
Teaching and Learning Programming
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.

Laika access coming soon