Keywords
AI policy development
higher education
framework for strategic planning
design and implementation roadmap
How to Cite
Abstract
This paper investigates the relationship between artificial intelligence (AI) technology and educational policy in higher education, highlighting key research and implementation. The paper focuses on critical considerations for AI policy development with a view to producing a roadmap focused on contextual higher education AI policies. The rapid development of AI presents both significant opportunities and challenges for higher education institutions in Europe and globally. As AI technologies become ubiquitous, integrated into teaching, learning, and administrative functions, it is essential to identify critical considerations at the core of the AI integration process, namely: (1) regulatory framework, (2) stakeholder-specific guidelines, (3) AIED research, and (4) AI literacy. As a starting point, the paper presents a review of existing AI policy frameworks within higher education, drawing on recent empirical research, identifying four design and implementation priorities for higher education stakeholders aiming to create responsible AI governance frameworks. As a result, we propose a roadmap designed to be used as strategic planning instrument for higher education stakeholders developing AI policies and guidance. In proposing a strategic roadmap for AI policy development, the work offers valuable insight into how higher education can effectively leverage the potential of AI whilst ensuring ethical considerations, equity, and maintaining academic integrity. Additionally, the paper contributes to the ongoing discourse regarding AI's role in higher education in proposing research pathways that will benefit all stakeholders involved in the academic ecosystem.
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