Tootfinder

«The moment was absurd but revealing; the university wasn’t resisting bullshit education, it was onboarding it. Education at its best sparks curiosity and critical thought. “Bullshit education” does the opposite: it trains people to tolerate meaninglessness, to accept automation of their own thinking, to value credentials over competence.»
An excellent read about how/why uni admin pushes the use of "AI" and the impact
https://www.currentaffairs.org/news/ai-is-destroying-the-university-and-learning-itself

We had to drive over to Queanbeyan to pick up an order at the farm shop there.
We don't get there very often so we took the opportunity to go for a bit of a wander by the river afterwards. I forgot how pretty it is.
#Queanbeyan #Australia

Code2Video: A Code-centric Paradigm for Educational Video Generation
Yanzhe Chen, Kevin Qinghong Lin, Mike Zheng Shou
https://arxiv.org/abs/2510.01174 https://

Code2Video: A Code-centric Paradigm for Educational Video Generation
While recent generative models advance pixel-space video synthesis, they remain limited in producing professional educational videos, which demand disciplinary knowledge, precise visual structures, and coherent transitions, limiting their applicability in educational scenarios. Intuitively, such requirements are better addressed through the manipulation of a renderable environment, which can be explicitly controlled via logical commands (e.g., code). In this work, we propose Code2Video, a code-…

A look at China's push to integrate AI tools into children's lives, even as educators and researchers remain skeptical, warning the benefits are overstated (Viola Zhou/Rest of World)
https://restofworld.org/2025/ai-china-childhood/

AI is reshaping childhood in China
Government support and tech companies’ drive for profit fuel a rush to integrate AI tools, from robot tutors to chatbots, in education and caretaking.

Agentic Workflow for Education: Concepts and Applications
Yuan-Hao Jiang, Yijie Lu, Ling Dai, Jiatong Wang, Ruijia Li, Bo Jiang
https://arxiv.org/abs/2509.01517 https://

Agentic Workflow for Education: Concepts and Applications
With the rapid advancement of Large Language Models (LLMs) and Artificial Intelligence (AI) agents, agentic workflows are showing transformative potential in education. This study introduces the Agentic Workflow for Education (AWE), a four-component model comprising self-reflection, tool invocation, task planning, and multi-agent collaboration. We distinguish AWE from traditional LLM-based linear interactions and propose a theoretical framework grounded in the von Neumann Multi-Agent System (MA…

And here's another....
https://edgewood-nursery.com/podcast

AI in data science education: experiences from the classroom
J. A. Hageman, C. F. W. Peeters
https://arxiv.org/abs/2510.00793 https://arxiv.org/pdf/2510.00…

AI in data science education: experiences from the classroom
This study explores the integration of AI, particularly large language models (LLMs) like ChatGPT, into educational settings, focusing on the implications for teaching and learning. Through interviews with course coordinators from data science courses at Wageningen University, this research identifies both the benefits and challenges associated with AI in the classroom. While AI tools can streamline tasks and enhance learning, concerns arise regarding students' overreliance on these technologie…

Newsom threatens state funding for California universities that agree to Trump demands (Sophia Bollag/San Francisco Chronicle)
https://www.sfchronicle.com/politics/article/newsom-trump-education-funding-21081560.php
http://www.memeorandum.com/251003/p5#a251003p5

Furloughed feds find their email response changed to violate the Hatch Act.
https://www.nbcnews.com/news/amp/rcna235211

A principled way to think about AI in education: guidance for action based on goals, models of human learning, and use of technologies
Noah D. Finkelstein
https://arxiv.org/abs/2510.01467

A principled way to think about AI in education: guidance for action based on goals, models of human learning, and use of technologies
The rapid emergence of generative artificial intelligence (AI) and related technologies has the potential to dramatically influence higher education, raising questions about the roles of institutions, educators, and students in a technology-rich future. While existing discourse often emphasizes either the promise and peril of AI or its immediate implementation, this paper advances a third path: a principled framework for guiding the use of AI in teaching and learning. Drawing on decades of scho…