Blueprint for Learner Evaluation in an AI World

This white paper presents a comprehensive examination of the evolving landscape of learner assessment in the context of artificial intelligence (AI). It outlines the challenges and opportunities that AI presents to traditional assessment methods, particularly in higher education. The paper begins by discussing the impact of generative AI on academic evaluation processes, emphasizing the need for institutions to adapt their assessment strategies to remain relevant. It details two main sections: the first focuses on reasonable assumptions regarding the future of education, advocating for a shift towards co-intelligence where human and AI capabilities are integrated. The second section provides actionable steps for institutions to prepare for an AI-augmented educational environment, including developing AI literacy and embracing innovative assessment practices. The paper underscores the necessity for flexibility in assessment approaches to align with the rapidly changing workforce demands and the integration of AI into educational methodologies.