I just posted a significant bit of analysis for Sentient Syllabus, a proof of concept for personalized assignments.

https://sentientsyllabus.substack.com/p/assignment-and-agency

In the eighties, Benjamin Bloom (the Bloom of Blooms taxonomy) reported that one on one instruction can boost student performance by two sigma! Ever since then, we have been searching for ways to scale this for our current realities in #education - but no breakthrough has appeared. Why are we not teaching this way if the results are so compelling? Because, as Bloom said: "it is too costly for most societies to bear on a large scale".

With the arrival of generative AI that limit will change.

I have worked out a proof of concept for personalized assignment design that needs only a spreadsheet and #ChatGPT. The spreadsheet builds a prompt that students can customize, ChatGPT writes out the assignment. No specialized software, technology, or third party involvement are needed.

Of course, the results need to be vetted - but the improvement becomes part of the learning process, and overall the process hands agency for learning back to the student: the assignment becomes theirs.

The proof of concept is done from the perspective of a Computational Biology course I taught last year - but adapting it to other fields of higher education should be trivial. There is nothing inherently STEM like in the approach - humanities, writing, language learning ... no reason it would not work for secondary education as well.

The potential is remarkable.

I encourage you to boost and share - this will be valuable for educators at all levels, and it will give us very concrete ways to harness the new opportunities.

:-)