Tag: curriculum
-
What Curriculum Leaders Need to Know About AI in 2026
Most of the AI professional development I see in schools is aimed at everyone. Whole-staff sessions covering the basics: how to use GenAI, how to write a prompt, some tools you might find useful… At the other end of the scale, you see policy sessions aimed at ICT and Business Managers, executive teams, and boards.…
-
Digital Plastic as a framework for Critical AI Literacy
The concept of “digital plastic” in generative AI highlights its characteristics: cheap, malleable, ubiquitous, and persistent. This framework promotes critical AI literacy through classroom strategies, encouraging purposeful use, awareness of implications, and fostering critical judgement in synthetic media creation.
-
Lesson planning is a verb: why does tech keep treating it as a noun?
Lesson planning is a process, an action, a verb; but tech companies keep trying to give us buttons that generate products. We need a better approach to technology that values curriculum design.
-
Talking to Teachers About AI in Schools
The post reflects on the challenges educators face regarding AI in classrooms, highlighting debates over its benefits and drawbacks. Teachers seek clarity on its capabilities while being burdened by evolving technologies. Successful integration relies on collaboration among subject matter experts who can explore AI’s potential across disciplines, guiding effective use in education.
-
3 Ways for Educators to Run Local AI and Why You Should Bother
The article advocates for experimenting with local AI models, emphasising their accessibility and privacy benefits. It details three methods for setting up local AI: GPT4All for PCs, PocketPal for smartphones, and Ollama for command-line users. The author stresses the potential impact of local AI on education, questioning its implications for equity and academic integrity.
-
More Practical AI Strategies: Differentiating
Educators continue to grapple with the ethical and practical implications of Generative AI, but it has proven valuable in enhancing teaching methods and student engagement. LLMs like ChatGPT can aid in visualising abstract concepts, refining editing skills, and providing constructive feedback, presenting numerous opportunities for its integration in education.
-
Expertise Not Included: One of the Biggest Problems with AI in Education
The debate about the effectiveness of AI chatbots in education continues amidst rapid AI advancements. Despite the broad knowledge and potential of AI systems, learners need expertise to effectively utilize them. The challenge lies in knowing how to ask the right questions and identify inaccuracies. Customised, purposeful applications could provide a more beneficial alternative to…
-
Google NotebookLM: Key Features and How to use one of Google’s Most Popular AI Products
NotebookLM has quickly become one of Google’s most popular AI products. It outperforms many models – including ChatGPT and Claude – in tasks involving multiple docs and PDFs. This post outlines the key features.
-
Design Refine Create: A Framework for GenAI Curriculum Design
For the past few weeks, I’ve been exploring ways that educators can take back control of generative artificial intelligence. As part of curriculum design, I started with reflections on how I use multimodal generative AI myself when designing my blogs on education and resources. Then, I took a brief side step into EdTech application design…
-
Low-Hanging Fruit: Why AI Lesson Planning Won’t Solve Teacher Workload
Educators today are facing pressures to incorporate generative artificial intelligence tools like ChatGPT and Claude into curriculum design and lesson planning. However, research shows that the main contributors to teacher workload are administrative tasks, data collection, compliance, and reporting. Instead of focusing on lesson planning, AI could better serve educators by addressing these burdens. The…