What is it about?

This paper explores how education researchers perceive generative AI (GenAI) and its potential impact on education. It identifies unclear or controversial issues (grey areas) related to GenAI, such as decision-making, ethics, appropriate use, impact on learning and teaching, policy, data, outputs, human involvement, and public-private partnerships. The study also provides recommendations for future research in areas like learning and teaching, ethical and legal implications, ownership/authorship, funding, technology, research support, AI metaphors, and types of research. The findings aim to encourage ongoing debate and more educator involvement in research to ensure that the essence of education is preserved amidst technological advancements.

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Why is it important?

This work is important for several reasons. It helps others understand the potential and challenges of using generative AI (GenAI) in education, providing them with insights to make informed decisions. By identifying grey areas and ethical issues, the study encourages a responsible and thoughtful approach to integrating AI in education. The recommendations for future research can guide scholars and policymakers in exploring critical areas that need attention, ensuring that the development of GenAI in education is well-rounded and beneficial. Additionally, the paper emphasizes the importance of maintaining the essence of education and learning, ensuring that technological advancements do not overshadow the core values of teaching. By highlighting controversial issues, the study fosters ongoing discussions among educators, researchers, and policymakers, promoting a collaborative effort to navigate the complexities of GenAI in education. Overall, this work aims to ensure that the integration of GenAI in education is thoughtful, ethical, and aligned with the fundamental goals of teaching and learning.

Perspectives

Working on this paper was a fantastic experience. Collaborating with an international set of co-authors allowed us to share diverse ideas and perspectives, enriching the research process. The opportunity to learn from each other and contribute to a collective understanding of generative AI in education was truly rewarding. This collaboration not only broadened our horizons but also strengthened our commitment to advancing meaningful and ethical research in this field.

Professor of Instructional Technology Charles B. Hodges
Georgia Southern University

Read the Original

This page is a summary of: Venturing into the Unknown: Critical Insights into Grey Areas and Pioneering Future Directions in Educational Generative AI Research, TechTrends, February 2025, Springer Science + Business Media,
DOI: 10.1007/s11528-025-01060-6.
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