A Moodle-focused item highlighting AI choices, transparency, teaching improvements and platform updates that matter for learning environments.
What Teacher Education Should Look Like in the Age of AI
A timely discussion of how teacher education should adapt to AI, including policy, responsible use and preparation for real classroom practice.
https://www.edweek.org/events/webinar/what-teacher-education-should-look-like-in-the-age-of-ai…
The algorithm in the room: seeing and confronting the implications of AI for the future of education (UNESCO)
This collection of 26 essays explores how AI and algorithms are reshaping education, raising critical questions about autonomy, learning, pedagogy, assessment, and governance. It calls on educators and policymakers to confront these challenges and shape equitable, meaningful, and inclusive futures …
How to Remove Your Personal Information From the Internet?
Data brokers sell your address and phone number to anyone who asks. Here is how to get them removed, on your own or with a company that does it for you.
https://gizmodo.com/how-to-remove-your-personal-information-from-the-internet-2000821638…
A private brain at home. Rented genius in the cloud.
Tech journalist Léo Laporte offers an interactive tour of his sophisticated home AI setup, combining local hardware, cloud models, AI agents, voice assistants, and memory systems. Visitors can explore how these components work together through real-world scenarios, though replicating the …
Does it Matter Which AI You Choose?
This practical article compares how different AI models may support learners differently, especially in tutoring, multilingual contexts, explanation style, and reliability.
https://teachonline.ca/tools-trends/articles/does-it-matter-which-ai-you-choose/…
Trapped in Someone Else’s Imagination: Students on AI, Choice, and the Futures We Deserve
Written from a student perspective, this article raises important questions about agency, equity, fear, and choice in AI-mediated education.
Reducing Barriers to Academic Support: Evaluating a Course-Specific RAG System for Addressing Help-Seeking Disparities in Higher Education
This recent research paper examines a course-specific AI support system designed to give students immediate, contextual help without replacing instructors.
The Uneven Impact of Generative AI on Student Learning: Examining the Roles of Reliance, Evaluation Literacy, and Course Policy in AI-related Courses
This study explores why students benefit from AI unevenly, highlighting the importance of evaluation literacy, course policy, and how early reliance shapes learning.
Integrating Flipped Learning and Generative AI for Practice-Based Design Education: Evidence from a Knit Yarn Design Course
This paper presents a pedagogical model combining flipped learning, AI-assisted visual prototyping, formative checks, and studio feedback in a design course.
Understanding How Educators Configure GenAI Support for Open-Ended Learning
This research article looks at how educators want to configure AI systems for open-ended learning, including personalization, disclosure, learner data, and teacher control.
AI Discussions — Moodle Community
A recent Moodle community space where educators and developers are discussing AI in Moodle, including teaching use cases, boundaries, and responsible implementation.
Why AI-Driven Modern Classrooms Require a Major Security Conversation
A useful EdTech article connecting smart classrooms, lecture-capture devices, cameras, displays, and AI-enabled learning spaces with cybersecurity and privacy concerns.
How Higher Ed Institutions Can Control AI Spending Without Curbing Innovation
This article discusses how universities can give faculty and students access to AI tools while managing cost, data privacy, and institutional guardrails.
From Laptop Bans to New Tech Courses, US Law Schools Grapple with AI
This piece shows how law schools are rethinking classroom technology, AI policies, exams, and professional preparation in response to generative AI.