AI in education - Information Matters

There is something brutal about the title of a recent Spectator article: “We pretend to teach, they pretend to learn”. The article describes the author’s experience teaching Chinese master’s students in a UK university, particularly students with limited English, low classroom participation and little apparent interest in engaging with the course beyond getting the degree. It is deliberately provocative, occasionally crude and very easy to dismiss as yet another piece of anti-Chinese-student polemic. But dismissing it entirely would be too comfortable.

Translation

May 24, 2026 Bo Hyun Hong

When AI Output Becomes “Good Enough”: Not Everyone Evaluates AI the Same Way

Even when people use the same AI system, they do not evaluate AI-generated information in the same way. For example, imagine two students using Gemini or other generative AI tools for the same assignment and both receive nearly identical answers. One student quickly accepts the response and moves on. The other pauses, checks the information against outside sources, and revises the AI-generated output before using it.

graphic of AI in education with books and tablet

Original

May 15, 2025 A. Miller

Integrating AI in Education: Educational Technology Practices, Tools, and Accessibility

Artificial intelligence (AI) is increasingly a topic of interest and concern in higher education. Much of the current research focuses on AI policies, how AI is changing education, and the AI use cases that include benefits (e.g., new insights) and concerns (e.g., academic integrity) of AI use. This article focuses on AI integration and builds on an earlier article on AI tools, algorithmic literacies, and educational technology, demonstrating how inclusive design impacts accessibility and the design of AI in education. With this understanding, educators can evaluate existing educational technologies and AI tools as options they may consider adding to their curriculum. The integration ideas presented may help educators plan for educational technology practices, such as scaffolded lessons and assessments for AI literacy (which include digital and AI literacy frameworks and the benefits and challenges of AI). Additionally, these ideas may help educators get started with AI by offering suggestions on technologies to evaluate.