The LCCC STEM teachers would like to thank Dr Anne Forbes, Senior Lecturer, STEM Education, at the University of Macquarie,
and her team, for their work on "Artificial Intelligence Education for Teachers". Available on Coursera, at this address:
https://www.coursera.org/learn/artificial-intelligence-education-for-teachers/home/welcome
and her team, for their work on "Artificial Intelligence Education for Teachers". Available on Coursera, at this address:
https://www.coursera.org/learn/artificial-intelligence-education-for-teachers/home/welcome
Overview
This unit introduces students to AI, outlining its history and applications. It then explores using design thinking and CCT to solve complex problems and the concept of data fluency. It introduces students to the concept of bias inherent in data analysis and the importance of ethical decision making to affect outcomes informed by AI.
Key Knowledge
Students will recognise what artificial intelligence is and how it is present in our everyday lives. They will begin to understand that using AI extends beyond skills of coding to explore issues relying on ethical and moral understandings.
Key Concepts
- AI is the ability of machines to learn and apply knowledge and skills.
- Garbage in, garbage out (GIGO) refers to the idea that the quality of data given to computers (input) determines the quality of what is produced (output).
- Bias is an intentional or unintentional preference that can influence results.
- Divergent thinking focuses on coming up with a wide variety of solutions to a problem.
Skills
Students will develop skills that will support them:
- Compare AI with human intelligence, outlining its history and applications.
- Identify how fairness, transparency, privacy protection and compliance can be used to consider ethical considerations.
- Apply design thinking, CCT, and data fluency to solve complex problems.
Organisation
The key topics are:
• Knowledge: what is AI, where has it come from and how can we use it.
• Skills A: design thinking, and critical and creative thinking (CCT).
• Skills B: using data to influence how computers think.
• Values: AI- working for good.
• Knowledge: what is AI, where has it come from and how can we use it.
• Skills A: design thinking, and critical and creative thinking (CCT).
• Skills B: using data to influence how computers think.
• Values: AI- working for good.
There are 4 quizzes to check for understanding. Question design includes multiple-choice questions and short written responses. Each quiz is 10 marks, and it is expected students gain a 80% score to pass.
- Knowledge Quiz
- Think About It Quiz
- Data Fluency Quiz
- Values Quiz
Essential Questions
Enduring Understandings
AI is ubiquitous today, from narrow AI that interprets video feeds or customer inquiries to adaptive technologies that respond to new situations. Students should be able to understand that:
- AI is a broad body of research that is different to human intelligence.
- Design thinking and CCT will help us deliver human-centred solutions to complex problems.
- There are ethical challenges using AI and we need to identify the potential risks.