Gender Gaps and Convergence: ASEAN Stakeholder Perspectives on Artificial Intelligence in Education
Gender Gaps and Convergence: ASEAN Stakeholder Perspectives on Artificial Intelligence in Education

Summary/Abstract: This study investigates gender differences in the perceptions and adoption of Generative Artificial Intelligence (Gen-AI) in education among various stakeholders in the ASEAN context, including educators, students, policymakers, and industry partners. Using a quantitative cross-sectional design, data were collected from 661 stakeholders, including 363 females (54.9%) and 286 males (43.3%). The survey covered demographic information, frequency of Gen-AI tool use, perceptions of Gen-AI’s potential, concerns about risks, perceived challenges, and beliefs about innovative uses. Statistical analyses, including Chi-square and Mann-Whitney U tests, revealed no significant gender differences in Gen-AI tool use, perceptions, or concerns. This suggests a shift towards gender parity in the adoption of advanced educational technologies in the region. The study highlights the need for further large-scale research to generalize these findings and discusses implications for policy and practice, emphasizing the potential for gender-neutral strategies in Gen-AI integration. The contributions of this study include providing empirical evidence on gender parity among key stakeholders in education in Gen-AI adoption, offering insights for policymakers to develop inclusive AI strategies, and identifying areas for future research on technology integration in education.

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