Books, articles, podcasts, videos, reports, and tools I’ve read, listened to, or watched and think are worth recommending. Each entry has my annotation, which says why the source matters and what to expect from it as well as what it says. The topic tags group entries by subject.
Annotated bibliography
6 items under this folder.
A systematic literature review of knowledge graph construction and application in education
Source details Abu-Salih, B., & Alotaibi, S. (2024). A systematic literature review of knowledge graph construction and application in education.
Developing evaluative judgement for a time of generative artificial intelligence
Source details Bearman, M., Tai, J., Dawson, P., Boud, D., & Ajjawi, R. (2024).
On the Dangers of Stochastic Parrots: Can Language Models Be Too Big? 🦜
Source details Bender, E. M., Gebru, T., McMillan-Major, A., & Shmitchell, S. (2021).
Talk is cheap: why structural assessment changes are needed for a time of GenAI
Source details Corbin, T., Dawson, P., & Liu, D. (2025). Talk is cheap: why structural assessment changes are needed for a time of GenAI.
The wicked problem of AI and assessment
Source details Corbin, T., Bearman, M., Boud, D., & Dawson, P. (2025). The wicked problem of AI and assessment.
How can we develop transformative tools for thought?
Source details Matuschak, A., & Nielsen, M. (2019). How can we develop transformative tools for thought? numinous.productions/ttft .