Exploring perspectives toward generative artificial intelligence integration in science education: A cross-generational study

In an era where artificial intelligence (AI) is revolutionizing various sectors, its integration into education presents both opportunities and challenges that warrant careful examination. This study explores the perspectives of science faculty members across different generational cohorts on the integration of generative AI (GenAI) in education in the Philippines, aiming to identify targeted areas for improvement. Utilizing a phenomenological approach with a cross-sectional design, the research involved semi-structured, in-depth interviews with 20 faculty members categorized into Generations X, Y (Millennials), and Z. The study sought to understand their knowledge, attitudes, perceived benefits, challenges, ethical concerns, and policy recommendations related to the integration of GenAI in science education. The results indicate varied familiarity with GenAI tools among the generations, with Gen X demonstrating moderate awareness but limited application and some resistance, Gen Y exhibiting diverse uses and concerns, especially in ethics, and Gen Z showing high awareness but perceived minimal practical engagement and confidence. Participants viewed GenAI as beneficial for enhancing efficiency and providing innovative learning tools, yet they also identified challenges such as over-dependence on technology, privacy-related ethical issues, and disparities in access. The study highlights the need for professional development, ethical guidelines, and infrastructure upgrades to ensure equitable GenAI integration. These findings offer valuable insights for developing effective strategies that harness the potential of GenAI while addressing generational differences, ultimately promoting a more seamless and inclusive educational environment.

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Publication Details

Journal
Social Sciences & Humanities Open
Published
2025-12-19
DOI
https://doi.org/10.1016/j.ssaho.2025.102358
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
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article

Exploring perspectives toward generative artificial intelligence integration in science education: A cross-generational study

Social Sciences & Humanities Open
Artificial Intelligence in Healthcare and Education
article

Exploring perspectives toward generative artificial intelligence integration in science education: A cross-generational study

article en

Abstract

In an era where artificial intelligence (AI) is revolutionizing various sectors, its integration into education presents both opportunities and challenges that warrant careful examination. This study explores the perspectives of science faculty members across different generational cohorts on the integration of generative AI (GenAI) in education in the Philippines, aiming to identify targeted areas for improvement. Utilizing a phenomenological approach with a cross-sectional design, the research involved semi-structured, in-depth interviews with 20 faculty members categorized into Generations X, Y (Millennials), and Z. The study sought to understand their knowledge, attitudes, perceived benefits, challenges, ethical concerns, and policy recommendations related to the integration of GenAI in science education. The results indicate varied familiarity with GenAI tools among the generations, with Gen X demonstrating moderate awareness but limited application and some resistance, Gen Y exhibiting diverse uses and concerns, especially in ethics, and Gen Z showing high awareness but perceived minimal practical engagement and confidence. Participants viewed GenAI as beneficial for enhancing efficiency and providing innovative learning tools, yet they also identified challenges such as over-dependence on technology, privacy-related ethical issues, and disparities in access. The study highlights the need for professional development, ethical guidelines, and infrastructure upgrades to ensure equitable GenAI integration. These findings offer valuable insights for developing effective strategies that harness the potential of GenAI while addressing generational differences, ultimately promoting a more seamless and inclusive educational environment.

Social Sciences & Humanities OpenVol. 13
Sorsogon State University (PH)
Industry, innovation and infrastructure
Openalex Percentile: Top 42%
Artificial Intelligence in Healthcare and Education
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