Tag: AI
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Build Your Own AIED Special Sauce ✨ App!
I’m throwing down a challenge to edtech developers to create products that actually enhance teaching and learning, rather than relying on superficial AI “special sauce”. In this post I demonstrate building a simple AI chatbot, showing the ease of development and the need for genuine innovation in education technology. The code for the chatbot, with…
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More Practical Strategies for GenAI in Education: Part 2
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.
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Creating a Project Assistant with Claude and Todoist
Claude 3.5 Sonnet surpasses OpenAI’s GPT-4o with its ‘Project’ feature, capable of creating custom chatbots and integrating with Todoist. Todoist’s simple interface and powerful API complement Claude, allowing for automation of project tasks and creation of comprehensive timelines. The potential for AI applications like Claude to interact with various platforms is promising for the future.
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Practical AI Strategies Free 4-Week Course: Feedback and FAQ
Just over a month ago I launched a free 4-week email course on Practical AI Strategies for educators. The feedback has been overwhelmingly positive, with over 700 participants completing the first round. Participants commented on the value of the bite-sized lessons and the practical approach, and many provided feedback along the way. In this short…
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More Practical Strategies for GenAI in Education: Part 1
In January 2023, I wrote a post titled Practical Strategies for ChatGPT in Education. At the time, ChatGPT had just been released, and educators were grappling with its implications. The post outlined six strategies where ChatGPT could be used: planning, refreshing, improvising, personalising, collaborating, and communicating. It quickly became one of the most trafficked parts…
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AI Metaphors We Live By: The Language of Artificial Intelligence
In “Metaphors We Live By,” Lakoff and Johnson emphasise that metaphors are fundamental to human thought and language, not just decorative language. In this post, I’ve examined my own use of metaphors to describe AI and analysed their implications, highlighting the power and limitations of these metaphors in shaping our understanding of AI and its…
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Digital Plastic: Understanding AI-Generated Synthetic Media
What is Digital Plastic? Last year, I wrote an article introducing the concept of digital plastic, coining the term to describe AI-generated synthetic media, which, like its real-world counterpart, can be both helpful and harmful. Lately, I’ve been revisiting the term amidst ongoing discussions around quickly developing technologies like video generation. In this post, I’m…
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The Dark Library: When Language Models aren’t Suited for Learning
Large Language Models like ChatGPT are praised as potential saviours or threats to education. While they promise personalised learning and assistance, their limitations are evident. Without a deep understanding or the ability to reflect independently, users must prompt them correctly, making them challenging as learning tools. Educators can leverage their capabilities but must understand their…
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AI Policy Toolkit: Transparency Checklist
I have assisted numerous schools in Australia and abroad in developing their Generative AI Guidelines using national and international resources. The Australian Framework emphasizes transparency, outlining a practical checklist for schools to follow. By prioritizing open communication, ethical considerations, and ongoing evaluation, schools can align with best practices and ensure responsible AI implementation.
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Why Writing Needs Good Friction
Technology companies aim to minimise “friction” in user experience, a concept also relevant in psychology and education. While some see friction as a valuable part of the writing process, others seek to reduce it. Diverse viewpoints from authors, educators, and AI experts generate a larger conversation about the implications of artificial intelligence and writing.