Technology, Gender, and Engineering Education: Gaps, Stereotypes, and Challenges for Inclusive Training

Abstract

Despite sustained efforts to expand access to engineering education, women and other underrepresented groups continue to face persistent barriers throughout their educational trajectories. These challenges are not only rooted in social and cultural stereotypes but are increasingly shaped by the ways technology is designed, implemented, and used within engineering education. This full paper examines the intersections of technology, gender, and engineering education, analyzing how gender stereotypes and structural biases influence participation, retention, and leadership opportunities in engineering programs. Drawing on international literature and educational frameworks, the paper explores how technological environments such as programming education, digital learning platforms, learning analytics, and emerging applications of artificial intelligence can both reproduce and mitigate gender-based inequalities. The study discusses how implicit biases embedded in pedagogical practices, evaluation systems, and technological tools may reinforce exclusion, while inclusive technological approaches offer opportunities to promote equity and diversity. In addition, the paper reviews educational experiences, institutional policies, and technology-supported models aimed at fostering inclusive learning environments in engineering education. Particular attention is given to the implications for curriculum design, student retention strategies, and the development of leadership pathways for women and diverse populations. The findings highlight the need to integrate a gender perspective into technology-enhanced engineering education, emphasizing that diversity and inclusion are not only ethical imperatives but also key drivers of educational quality and innovation.