Teaching Guide - Gender-Sensitive Computer Science Education

Despite various interventions in the education sector, girls* remain underrepresented in computer science (CS) classes. With CS set to become a mandatory subject in Hamburg schools in the 2025/26 school year, promoting gender equity and motivating girls* in CS education is increasingly important. This guide supports CS teachers in creating classrooms where all students, regardless of their gender, feel equally involved and included. Based on key research findings, four broad categories of measures are outlined below and will be specified in more detail. The measures and their individual strategies often overlap and can have mutually reinforcing effects. While many of the strategies in this guide contribute to improving CS education for all students, they are especially important for addressing the specific needs of girls* and creating an environment where they feel welcome and confident. The guidelines are available in German and English.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-23
DOI
https://doi.org/10.5281/zenodo.17181728
Primary Topic
Prenatal Screening and Diagnostics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Teaching Guide - Gender-Sensitive Computer Science Education

Zenodo (CERN European Organization for Nuclear Research)
Prenatal Screening and Diagnostics
article

Teaching Guide - Gender-Sensitive Computer Science Education

article en

Abstract

Despite various interventions in the education sector, girls* remain underrepresented in computer science (CS) classes. With CS set to become a mandatory subject in Hamburg schools in the 2025/26 school year, promoting gender equity and motivating girls* in CS education is increasingly important. This guide supports CS teachers in creating classrooms where all students, regardless of their gender, feel equally involved and included. Based on key research findings, four broad categories of measures are outlined below and will be specified in more detail. The measures and their individual strategies often overlap and can have mutually reinforcing effects. While many of the strategies in this guide contribute to improving CS education for all students, they are especially important for addressing the specific needs of girls* and creating an environment where they feel welcome and confident. The guidelines are available in German and English.

Zenodo (CERN European Organization for Nuclear Research)
Universität Hamburg (DE)
Gender equality, Quality Education
Openalex Percentile: Top 31%
Prenatal Screening and Diagnostics
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.