AI Literacy Resources

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Definition: AI Literacy and AI Fluency

The term AI Literacy has recently seen some controversy with people questioning the meaning.

Is AI Literacy less important than AI Fluency which has also been called AI Dexterity.

AI literacy encompasses the competencies that enable individuals to understand, use, evaluate, and ethically navigate AI technologies. It involves knowledge of AI concepts, the ability to interact with AI systems, critical evaluation of AI outputs, and consideration of ethical implications (Ng, Leung, Chu, & Qiao, 2021).

AI fluency is the ability to understand, communicate, and strategically apply artificial intelligence in real-world organisational contexts. It encompasses understanding core AI capabilities, identifying business problems AI can solve, collaborating effectively with AI-powered tools, and making informed decisions based on AI-driven insights (Campbell, Nguyen, Bonsignore, Carter-Browne, & Neubauer, 2023).

The following resources are to support teachers with developing student AI Literacy.

Understanding AI

Teach and Learn AI with Code.org | Explore AI EducationTeach and learn AI with Code.org’s free lessons, activities, and resources. Explore how artificial intelligence works and bring AI education to your classroom.

https://code.org/en-US/artificial-intelligence

Contributed by Vladimir Tosic

Interactive activities. No student login is required

https://www.youtube.com/playlist?list=PL8dPuuaLjXtO65LeD2p4_Sb5XQ51par_b

Contributed by Vladimir Tosic

For secondary school students (but also primary school students), a good starting point are 20 videos (each 11~17 minutes long) from the series “Crash Course AI” posted on YouTube as the playlist. Several videos are accompanied by online Python code that students can run online and even change (experiment with) in their personal copy. No student sign-up is required (if private copies of code are made, a Google account is required).

Machine Learning | Google for DevelopersDiscover courses about machine learning fundamentals and core concepts.

https://developers.google.com/machine-learning/foundational-courses

Contributed by Vladimir Tosic

For senior secondary school students, the Google Machine Learning Education foundational courses seem suitable learning although they cover topics beyond AI literacy. Student sign-up is not required (if private copies of code are made, a Google account is required).

Critical Thinking

Survival of the Best FitCan you hire without bias?

https://code.org/en-US/artificial-intelligence

Contributed by Vladimir Tosic

AI Bias activity using AI for hiring employees without bias In my opinion, these resources are more suitable for secondary school students, but when accompanied by appropriate explanations they could be used by primary school students. No student sign-up is required.

Moral MachineA platform for public participation in and discussion of the human perspective on machine-made moral decisions

https://www.moralmachine.net/

Contributed by Vladimir Tosic

AI decisions for self-driving cars in difficult situations. In my opinion, these resources are more suitable for secondary school students, but when accompanied by appropriate explanations they could be used by primary school students. No student sign-up is required.

Applying AI

AI for Oceans - Code.orgAnyone can learn computer science. Make games, apps and art with code.

https://studio.code.org/courses/oceans/units/1/lessons/1/levels/1

Contributed by Vladimir Tosic

For primary school students (but also secondary school students), a good starting point is “AI for Oceans” from Code.org. It contains interactive learning activities and short (2~3 minute) videos. They have a good explanation of a few basic issues, e.g. bias.

https://dayofaiaustralia.com/

Contributed by Vladimir Tosic

Machine Learning for KidsAn educational tool for teaching kids about machine learning, by letting them train a computer to recognise text, pictures, numbers, or sounds, and make things with it in Scratch.

https://studio.code.org/courses/oceans/units/1/lessons/1/levels/1

Contributed by Vladimir Tosic

For more interactive online learning that is appropriate for primary school students and/or secondary school students, check the interactive online learning activities (in Scratch or Python) by Machine Learning 4 Kids. They have step-by-step worksheets for both students and teachers. Student sign-up is required, but the student account names can be made by teachers (thus, hiding real student names).