The AI 3 Model: Future Directions for Artificial Intelligence, Assessment Innovation, and Academic Integrity

2025/10/30 by Christopher DeLuca, Louis Volante, Michael Holden · 1 voice
Social Sciences · Computer Science · #Academic integrity and plagiarism #Student Assessment and Feedback #Online Learning and Analytics

paper · doi:10.3102/0013189x251385537

openalex created_date 2025/10/30 · openalex publication_date 2025/10/30 · openalex updated_date 2026/06/12

Abstract

The evolution of machine learning and large language models (commonly referred to as “artificial intelligence” [AI]) presents both opportunities and challenges for teaching and learning across K–12 and higher education contexts globally. Among the most pressing concerns is that these tools can undermine the integrity of student assessment and evaluation systems. This article investigates this timely issue by examining the intersections between AI, academic integrity, and assessment innovations through a cross-national research synthesis, resulting in a novel model for educators, policymakers, and researchers. The proposed model promotes assessment policies and practices that support high integrity, authentic learning, and innovative student assessment in an era of generative AI.

Citations

• I.—COMPUTING MACHINERY AND INTELLIGENCE
• Artificial intelligence for education: Knowledge and its assessment in AI-enabled learning ecologies
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Discussions

• Three years into the age of AI, we can no longer afford a head-in-the-sand approach. This isn't about uncritically embracing AI, or taking "hype bros" and tech companies at their word. It's about seri [bsky, 0 points, 0 comments]