The growing powers and pervasiveness of AI technologies will either help students develop fundamental skills, or prevent them from doing so. Or rather, unless we guide and scaffold their use, the risk is high that they will worsen, rather than enhance, their thinking, information literacy, and other critical competencies. This gallery based on the International Baccalaureate "ATL Skills" framework includes examples of tools and prompts that can help students make the best of the opportunities provided by AI to superpower their learning.
The “AI Assessment Scale” is a five-point scale created by Leon Furze to help educators clarify the appropriate level of generative AI (GenAI) use in their assessments. Its author breaks it down as follows:
No AI - Brainstorming and Ideas - Outlining and Notes - Feedback and Editing - Full AI
While it has many benefits and was an important contribution to our collective reflection on the most effective ways to help teachers and students integrate GenAI effectively and appropriately in an educational context, it also has limitations that ultimately call for a new Revised AI Assessment Scale. Here, I propose two: an “Intensity” scale and a “Competency scale”.
By definition, artificial intelligence is the automation of tasks that previously required human intelligence. While the list of such tasks is already impressive, and constantly growing, AI skeptics often qualify the wonders of artificial intelligence by pointing to specific human skills that are supposedly impossible for machines to replicate. In reality, this categorization is often incorrect, as AI technologies can already perform the tasks these critics present as uniquely human. They can, actually, often complete them not only faster, but better than us — and will only become more competent over time.
Public Service Announcement: OpenAI does let you keep your conversations to yourself and opt out of the use of your data to further train ChatGPT. But how to do so is not obvious. It is even possible to add this layer of protection and still save your chats history. But this incognito mode is even more hidden. Here is a step-by-step guide to help you protect your privacy on ChatGPT.
It should not come as a surprise that chat bots can be particularly useful to teach and learn foreign languages. While it may seem like AI-integration diminishes the all-important "human element" of effective pedagogy, these new technologies actually make it possible to adapt reading materials to students' backgrounds and starting points, scale 1:1 conversations, and generate myriad engaging activities in multiple languages--and in seconds. Here are a few examples to get you started.
Generative artificial intelligence can superpower Youtube videos. While videos can be an effective and engaging way for students to access information, GenAI tools will allow you to create checks for understanding, host multiplayer comprehension games, and even allow your class to chat with the content, deepening their understanding and exploring further.
Preparing students for the future means helping them learn WITH --but also ABOUT artificial intelligence. Thankfully, many organizations have already made quality resources available for students to explore the basics and ethics of AI at the ES, MS, and HS level. Here is a curated list with links.
Whether I was trying to plan the work I am doing with AI at International School of Panama or to conceptualize it in writings, trying to use the traditional SAMR model to frame the educational integration of AI technologies proved unsuccessful. As many times as I tried, something was always missing. Or rather, many things–and some of the most important ones. This was true from the start, and is proving more and more obvious as new AI tools and capabilities are being developed every day. This impasse prompted me to develop the CAFE model, which can be aligned with SAMR, but is more refined and better adapted to artificially intelligent educational technologies.
During Digital Learning Week (4-7 September 2023), the UNESCO presented its draft AI Competency Frameworks for Teachers and Students for discussion, and later asked for feedback from educators. This article briefly outlines the criteria that can be used to evaluate such models, proceeds to review their strengths and weaknesses, and finally proposes alternatives with adjustments and modifications.
How to evaluate AI educational tools? Without clear, robust guidelines, there is a high risk that AI tools will be used in class, and therefore with children, and for educational purposes, without thorough prior evaluation. This simple scoring guide yields a score out of 40, 30 and a score of 3+ on each question being the minimum "passing" bar. Beyond this, the Guide can also be used to assess different uses of AI tools, and can even serve as a framework for AI use policies. Using such a Guide is not only best practice, but also models how to use AI responsibly with students. In cases of pre / post evaluations, learners can actually be involved in this review process.