Introduction-Course Overview
Welcome and introduction to Artificial Intelligence (AI) for Teachers
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Why do teachers and students need to know about AI?
Course background and accreditation
Overview of course structure
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Course structure and learning outcomes
Learning activities and resources
Introduction-External Projects and Research Options
Student resources
Research study
Introduction-Podcasts
Podcast with Professor Garry Falloon
Podcast with Toby Flavell
Knowledge Module: What is AI, History of AI, and Applications of AI-Module Overview
About this module
Introduction to AI, its history and applications
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Knowledge Module: What is AI, History of AI, and Applications of AI-Topic 1: What is AI
What is intelligence? (continued)
Strong AI
The development of narrow AI
Machine learning
Machine Learning for Kids
Definitions of AI
Intelligence augmentation
Relationships between AI and related areas
Knowledge Module: What is AI, History of AI, and Applications of AI-Topic 2: History of AI
The Turing Test
Developments in computer hardware
Knowledge Module: What is AI, History of AI, and Applications of AI-Topic 3: Applications of AI
Podcast with Professor Deborah Richards
Jeopardy
Autonomous cars
Types of AI
Podcast with Dr Bhavna Antony
Knowledge Module: What is AI, History of AI, and Applications of AI-Module Summary
Knowledge Module: Activities and resources
Skills Module - Part A: Design Thinking, and Critical and Creative Thinking-Module Overview
About this module
Overview of design thinking, and critical and creative thinking
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Skills Module - Part A: Design Thinking, and Critical and Creative Thinking-Topic 4: Design Thinking
History of design thinking
An important principle
What is design thinking?
Design thinking defined
Models of design thinking
Applying design thinking in an educational context
Podcast with Steve Nouri
Skills Module - Part A: Design Thinking, and Critical and Creative Thinking-Topic 5: Critical and Creative Thinking
Developing thinking skills
Unhelpful stereotypes of critical and creative thinking
Defining critical and creative thinking
Creativity in STEM
Creativity in STEM (continued)
Art as a catalyst for critical thinking
Introducing convergent and divergent thinking
Strategies for fostering thinking skills
Four elements of critical and creative thinking in the Australian Curriculum
ACARA's critical and creative thinking model
Creative AI
Podcast with Professor Emily Cross
Skills Module - Part A: Design Thinking, and Critical and Creative Thinking-Module Summary
Skills Module — Part A: Activities and resources
Skills Module — Part B: Data Fluency, and Computational Thinking-Module Overview
About this module
Overview of data fluency, and computational thinking
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Skills Module — Part B: Data Fluency, and Computational Thinking-Topic 6: Data Fluency
What is data fluency?
What is data?
Data in education
Definitions from the Mathematics Syllabus glossary
Garbage in, garbage out (GIGO)
Accuracy of decision-making
Examining a data set
Decision-making: Dog or cat?
Photographic data sets of dogs and cats
Training a machine learning model in MLFK
Data within a machine learning project
Podcast with Dr Cormac Purcell
Skills Module — Part B: Data Fluency, and Computational Thinking-Topic 7: Computational Thinking
Computational thinking influencers
Computational thinking in the Science and Technology syllabus
Computational thinking concepts
Unplugged activities
Device-based activities
Podcast with Dr Rolf Schwitter
Skills Module — Part B: Data Fluency, and Computational Thinking-Module Summary
Skills Module - Part B: Activities and resources
Values Module: Ethical Decision Making, and Bias Awareness-Module Overview
About this module
Introduction to ethical decision making, and bias awareness
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Values Module: Ethical Decision Making, and Bias Awareness-Topic 8: Ethical Decision Making
Closed-circuit television (CCTV) in schools
Personality-quiz app data
Pilots and AI
Podcast with Kaaren Koomen
Values Module: Ethical Decision Making, and Bias Awareness-Topic 9: Bias Awareness
Calling the shot
Bias in more consequential decisions
Cognitive biases
Prejudice rather than cognition
"The data is the code."
AI and discrimination
Values Module: Ethical Decision Making, and Bias Awareness-Module Summary
Values Module: Activities and resources
Conclusion-Course Summary
Conclusion
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Course completion feedback form
Next steps