In 2015, the Institute for the Future of Learning published Assessing the Learning That Matters Most; a report that identified schools leading the way in meaningful assessment practices. Our goal was to spotlight leading approaches to whole-child assessment, share lessons learned, and imagine an open-source database of great practices that could influence the broader education system.
Fast forward ten years (it's hard to believe a decade has passed!), and Artificial Intelligence is presenting an entirely new level of opportunity - and challenge - in assessing the learning that matters most.
These questions will be front and center at the upcoming ACE Summit 2025 in December. Speakers include several folks whom I have followed for years, including Charles Fadel of CCR and Andreas Schleicher of OECD. I am honored to facilitate the closing session of the day, “From Reflection to Action,” and look forward to sharing key takeaways and insights with you in next month’s newsletter.
This month’s featured resources continue the AI theme:
Tyler Thigpen shares his synthesis of both the bright spots and blind spots emerging in education’s use of AI.
Jesse Dukes and Justin Reich share findings from their interviews with more than 85 teachers, school leaders, and 35 students on how AI is actually showing up in schools.
Mimi Sax explores how Harvard Business School students are experimenting with custom AI tutor bots to support their learning.
In over two decades of work in education, AI is the most disruptive technological force I've seen yet. The challenge - and opportunity - before us is to ensure that it serves human learning, not the other way around.
Yours in learning,
Julie
