Twelve Tips for Navigating the Frontier of AI-assisted assessments: Challenges, Skills, and Solutions

Abstract

Background: The rise of artificial intelligence (AI) is transforming educational practices, particularly in assessment. While AI may support the students in idea generation and summarization of source materials, it also introduces challenges related to content validity, academic integrity, and the development of critical thinking skills. Educators need strategies to navigate these complexities and maintain rigorous, ethical assessments that promote higher-order cognitive skills. Aims: This manuscript provides practical guidance for educators on designing take-home assessments (e.g. research-based assignments) in the AI era. It explores how AI can be leveraged to enhance student learning during these assessment tasks and offers educators the ability to develop personalized feedback while maintaining academic integrity and avoiding potential risks to students' skill development. Description: Twelve tips are presented, organized into four key areas: (1) Co-developing AI literacy among students and educators, (2) designing assessments that prioritize process over output, (3) validating learning through AI-free assessments, and (4) preparing students for AI-enhanced workplaces by developing AI communication skills and promoting human-AI collaboration. These strategies emphasize ethical AI use, personalized feedback, and creativity. Methodology: This guidance was developed through a collaborative, consensus-driven process involving a consortium of three educators with diverse academic backgrounds, career stages, and perspectives on AI in education. Members, holding experience in higher education across the UK, USA, Australia, and MENA regions, brought varied insights into AI’s role in education. The team engaged in an iterative process of refining recommendations through fortnightly virtual meetings and offline discussions. Conclusion: By adopting these approaches, educators can balance the benefits and risks of AI in assessments, fostering authentic learning while preparing students for the challenges of an AI-driven world. This abstract was presented at the American Physiology Summit 2025 and is only available in HTML format. There is no downloadable file or PDF version. The Physiology editorial board was not involved in the peer review process.

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