Ethical considerations in the integration of artificial intelligence into education: a novel deep neural network framework for predicting transparency scores
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Analysis & Perspectives
Transforming Assessment Paradigms for Authenticity and Rigor in the AI Era
This article explores the essential shift needed in assessment methodologies to ensure they remain authentic and rigorous. It examines how educators can innovate assessment paradigms to meet the challenges and opportunities presented by the pervasive influence of artificial intelligence.
Designing a Comprehensive K-12 AI Literacy Framework for Students and Educators
This article details the design of a comprehensive K-12 AI literacy framework. It addresses the crucial need to equip both students and educators with fundamental AI knowledge, skills, and ethical understanding. The framework aims to seamlessly integrate AI concepts into the curriculum, fostering informed and responsible engagement with artificial intelligence.
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Subscribe Sign in An illustrated guide to resisting "AI is inevitable" in education Enough, enough, enough Benjamin Riley Apr 13, 2026 174 22 47 Share 1. Ask the AI-in-education enthusiast to clarify their premise. ( Slide created by Jane Rosenzweig, Director of Harvard College Writing Center ) 2. Ask the AI-in-education enthusiast if they are familiar with recent research indicating that generative AI leads to widespread βcognitive surrender.β Shot: βConceptually distinct from cognitive offloading, which involves strategically outsourcing a discrete