The National Education Agency's report of the NEA Task Force on Artificial Intelligence in Education presents five principles for using AI in classrooms: 1. Educators must remain at the center of education. 2. Evidence-based AI technology must enhance the educational experience. 3. Ethical development and use of AI technology and strong data protection practices. 4. Equitable access to and use of AI tools is ensured. 5. Ongoing education with and about AI: AI literacy and agency. Written by K-12 teachers and college professors, the 55-page document is an interesting read and a nice resource for educators about the opportunities and challenges of using AI.
I am not sure about 1. This sounds like an old version of teaching where the teacher talks and students work maybe. Students should be empowered to take the lead. Maybe 2 also. I think it can support the experience too. Enhancing it is like the SAMR and requires a more seasoned user perhaps. Also 5 could be reworded to emphasise partnerships perhaps. These can be students and teachers or teachers and external advisors, parents etc. Education about AI is very difficult as AI is moving so fast every book is already outofdate to some degree. This AI movement is from the classroom out. Each class can become its own research entity and assess and choose what AI works.
While I appreciate the NEA's principles for AI in education, it's crucial to address key areas before fully reaping AI's potential. First, we must acknowledge the need for a comprehensive reform in our education system, from the NEA and states to districts and schools. This reform should align with modern educational needs and promote innovation. Next, integrating AI in education must become a nationwide priority. This means implementing AI across all levels, from federal to district, ensuring equal access to tools and resources. By making AI an ally and harnessing its power, we can overcome human-created obstacles and accelerate positive change in our education system. However, AI integration goes beyond purchasing applications and providing professional development. We need a deeper understanding of AI's role in education, focusing on theory, research, and data. Separating fact from fiction is essential to establish a strong foundation for AI-driven education, with applications serving as complementary tools to enhance teaching and learning. By addressing these critical aspects, we can reshape our educational landscape and create an environment where AI is not just a supplementary tool as an integral part of the entire system
The Human Intelligence Movement is all about human centered learning! https://www.humanintelligencemovement.org/
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This is really interesting, thank you, Jerry Crisci . They also recognise the transformative potential of AI which is good to see. Looking forward to having a read.
Thank you for sharing, Jerry!
AI Education Policy Consultant
5moI finally had a chance to read through this. A few random thoughts (1) It makes a strong case for human-led education based largely on arguments about bias and humans making better decisions. Generally speaking, humans are probably still overall better in these categories despite obvious bad decisions and horrible instances of bias, but I suspect that AIs will start to out-perform humans in both of these categories in the not-to-distant future. When they do, should human decision-making still override? (2) I'm glad a lot of these report suggest alternative assessment strategies such as PBL, but I think they are probably the most important part and they are always undertheorized/developed/supported.