In classrooms across the world, teachers are being urged to introduce artificial intelligence (AI) and machine learning (ML), yet what should be taught and how is still to be agreed upon. To investigate the design of AI and ML teaching and learning resources, we conducted a study to investigate three design principles that guided the development of a resource set, Experience AI. Experience AI is a set of free six one-hour lessons for classroom use with students aged 11 to 14 years old (Grade 6–8) in the United Kingdom.
To support the design of the Experience AI materials, a set of design principles were developed. These design principles were based on research done on the teaching and learning of AI and machine learning.
To investigate subset of the design principles, the findings of an independent evaluation of the lessons were used.
The independent evaluation included a survey of student conceptions of AI, student and teachers’ awareness of AI/AI-related careers, and teacher self-efficacy when teaching about AI.
Waite, J., Garside, B., Whyte, R., Kirby, D., & Sentance, S. (2024, October). Experience AI: Introducing AI/ML to Grade 6–8 students in the UK. In Proceedings of the 17th International Conference on Informatics in Schools: Situation, Evolution, and Perspectives (ISSEP ’24). (Author copy)
Waite, J., & Garside, B. (2023, November). From ethics to engines, framing AI Literacy (including Algorithm Literacy and Data Literacy) through the SEAME framework. Submitted abstract to UNESCO. (Author copy)
Waite, J., Tshukudu, E., Cucuiat, V., Whyte, R., & Sentance, S. (2023, October). Towards a Framework for Learning Content Analysis in K-12 AI/ML Education. In 2023 IEEE Frontiers in Education Conference (FIE) (pp. 1-5). IEEE. (Author copy)