Inquiring into how ICT supports teaching and learning in my class

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Here is another important AI guide for teachers!

This one is from the Washington Office of Superintendent of Public Instruction.

It’s built around a clear idea: AI use should start with human inquiry and end with human judgment.

The guide walks you through what that looks like in real classrooms, from the five-step scaffolding scale for students to sample classroom protocols, policy language, and subject-area examples.

If you’re trying to build an AI framework for your school or want concrete models you can adapt to your own practice, this is worth your time.

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Gemini Nano Banana Pro creates amazing visuals!

Earlier today Ethan Mollick shared how he used Nano Banana Pro to generate a complex chart and the result was really impressive.

I decided to try it out myself. I picked one of my blog posts on how to create an AI policy for your classroom and used this prompt: “Generate a detailed flowchart explaining the process of creating an AI use policy for my class. Please use the attached post for insights.”

Gemini read the post, synthesized it on its own, and created the visual below.

It’s not the best, but you can see the quality of the work and how it captured the main ideas.

As a teacher, you can use Nano Banana Pro to create all kinds of instructional materials from posters to checklists to flowcharts for your lessons or PD sessions.

Keep in mind, free users have usage limits, maybe four generations per day.

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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!

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Search is changing fast. AI is turning search engines into research partners—summarizing, reasoning, and citing sources instead of just listing links.

Here are some powerful AI-driven search tools to try!

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Book Writing Tools for Teachers

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Bloom's Taxonomy Wheel

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Looking for good ChatGPT alternatives? Check out the attached list

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In Episode 1 of The AI Conversation for Educators, Dr. Alec Couros joins Meenoo Rami to explore the promises and pitfalls of generative AI in schools—and why care and connection still matter most.
Catch up here: http://spr.ly/61864m5XG