Gary Ackerman @garyackerman@qoto.org

I updated a blog post with an AI-generated podcast based on it:
https://buff.ly/497pIL7

Cognitive scaffolding utilizes strategies and tools to support learners' thinking processes and manage their cognitive load. Examples include flowcharts, rubrics, and graphic organizers.

Social scaffolding involves direct interaction and guidance from teachers or peers. It can include coaching, questioning, clarifying, and providing feedback.

Scaffolding in education is about providing the right support at the right time to help learners achieve their goals. This can include breaking down complex tasks, focusing attention on essential aspects, and providing guidance and feedback.

Ethical considerations are paramount in educational research and decision-making. Educators must gather and analyze data responsibly, ensuring they are using research to improve teaching and learning, not just to achieve specific outcomes.

Traditional assumptions about teaching and learning are being challenged. The idea of the mind as a container for knowledge is giving way to a view of learning as a social process of knowledge construction.

Tech planning in schools is complex. It requires collaboration between teachers, administrators, and tech experts to balance security, accessibility, and educational needs.

Technology stewards play a crucial role in successful technology integration in schools. They bridge the gap between tech experts and educators, advocating for user-friendly systems and ensuring technology use aligns with educational goals.

"Cheap, good, fast: pick two" This saying highlights the challenges of tech decisions in schools. Balancing cost, quality, and speed is crucial

Teachers are more likely to use tech they find easy and useful. This is the key takeaway from the Technology Acceptance Model.

Schools are not just physical spaces anymore! The rise of virtual classrooms and learning management systems (LMS) is transforming education... well it can if we design them wisely.

Algorithms are applied based on the assumption that all cases align with the assumptions that went into the assumption. That's fine if the algorithm recommends movies, but when used for, lets' say. hiring, it is much more consequential..

Misleading AI claims can have serious consequences.

Long lists of “great tools” are useless. Give me the 1 or 2 you have completely vetted and I’ll pay attention.

My take on AI Snake Oil and its importance for educators:
https://buff.ly/4eZWKhP
#education #AI #edtech #edAI #AIinEducation #teaching

Everything is predictable, unless it is random.

Predictive AI is great... unless yiu want to predict something based in fact.

Command lines... I rejected them when I first started using computers. Now, I am a fan. I'm fan too poor a typist to use them effectively, but I am a fan nonetheless.

There is something satisfying about getting computers to do what you want them to do.

The ski trails I pass when I drive home are white.