17/11/2025
https://www.facebook.com/share/p/1AQPiuHvNK/
I came across this white paper by Tom Chatfield through a post by Guillermo Palacios Garcia and found it really worth sharing here.
It echoes many of the ideas I’ve been discussing over the past few months especially the need for developing a clear AI pedagogy.
Just a few days ago, I wrote about why teachers should articulate their own AI pedagogy as a guiding framework for classroom use. In this report, Chatfield makes a similar case.
He argues that innovation in education must draw from what we know about how humans learn and that AI should serve as a context and catalyst for deeper learning, not a shortcut.
Chatfield also highlights the social dimension of learning; how emotional safety, collaboration, and meaningful feedback remain central, even in AI-rich environments.
I found this particularly relevant to our recent discussions about maintaining human connection in digital learning spaces.
As for assessment, he urges educators to move beyond the arms race of detection tools and toward reflective, process-based evaluation.
Again, this aligns perfectly with what we talked about last week, the importance of viewing assessment as an ongoing conversation rather than a final judgment.
Overall, I really liked the report and I find it strikes a thoughtful balance between embracing AI’s strengths and safeguarding the human capacities that make learning transformative (e.g., critical thinking, creativity, empathy, and reflection).
If you’re interested in rethinking what teaching and learning can look like in the age of AI, this one is definitely worth reading.
Link in the first comment!
