AI-Powered Healthcare Education, AI Textbooks & Slowing Adoption of AI in Workplace
November's Key Developments in the World of AI & Education
Hello, Learning Futurists 👋
Welcome to this month’s edition of Learning Futures!
This November, we’ve witnessed fascinating developments that continue to shape the AI and education landscape. As AI tools and policies evolve, they promise to redefine the way we teach, learn, and design learning experiences. The stories this month highlight both the potential and the challenges of integrating AI into education.
Here are the five key themes from this month’s developments:
The Rise of AI in Healthcare Education: Harvard Medical School’s initiative demonstrates how AI can be embedded in professional training to better prepare learners for an AI-driven world.
Calls for Regulation in Higher Ed: Institutions like UMass Amherst are stepping up to create thoughtful AI governance structures that balance innovation and ethics.
Personalised AI Tools in K-12 Education: Korea’s AI digital textbooks represent a significant leap forward in creating adaptive, student-centered learning.
AI as a Tool for Curriculum Design: Stanford's experiments with AI for curriculum development offer a glimpse into how technology could streamline instructional design processes.
The Current State of AI in the Workplace: Slack’s study on workplace AI adoption highlights slowing AI adoption and the need to overcome cultural barriers through targeted organisational training programs.
Let’s dive into these stories and their implications for educators and instructional designers. 🚀