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Gender Equity in AI Schools Framework

Research output: Other contributionpeer-review

Abstract

The integration of Generative AI in education presents both opportunities and challenges for advancing gender equity in STEM fields. To maximize these opportunities while addressing potential challenges, we've developed a comprehensive framework that emphasizes the crucial interconnection between teachers, school leadership, and parents. This tripartite collaboration is essential because students' success in STEM is shaped by the synergy of classroom experiences, institutional policies, and home environment.

Our AI and Gender Framework provides structured guidance for these key stakeholders to create an ecosystem where girls can thrive in STEM education through AI-enabled learning. The framework addresses three critical dimensions:

For teachers, the framework emphasizes developing AI competency alongside inclusive classroom practices. This includes understanding how to identify and mitigate gender biases in AI systems, implementing engaging pedagogical approaches, and fostering an environment where girls see AI as an empowering tool rather than a barrier. Teachers are positioned to directly influence students' attitudes toward AI while ensuring equitable participation and recognition in STEM activities.

School leadership plays a pivotal role through policy development and institutional support. The framework guides leaders in establishing clear digital vision, creating dedicated AI leadership positions, and developing robust guidelines for ethical AI use. Their role in forming partnerships with industry experts and academics ensures that girls have access to real-world role models and opportunities in AI and STEM fields.

Parents contribute by fostering an AI-aware home environment that challenges gender stereotypes and provides active engagement with AI technologies. The framework helps parents recognize and address their own unconscious biases while serving as role models who encourage their daughters' interest in STEM and AI.
Original languageEnglish
PublisherFlinders University
Publication statusPublished - 2025

Bibliographical note

Keane, T., Wang, T., Cerovac, M., & Tipple. C. (2025). Gender Equity in AI Schools Framework. https://aigendertoolkit.com/GenderEquityFramework.html

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 5 - Gender Equality
    SDG 5 Gender Equality
  2. SDG 10 - Reduced Inequalities
    SDG 10 Reduced Inequalities

Keywords

  • Generative AI
  • STEM education
  • Gender equity
  • School leadership

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