About this Course

16,312 recent views
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Beginner Level

Approx. 16 hours to complete
English

What you will learn

  • Compare AI with human intelligence, broadly understand how it has evolved since the 1950s, and identify industry applications

  • Identify and use creative and critical thinking, design thinking, data fluency, and computational thinking as they relate to AI applications

  • Explain how the development and use of AI requires ethical considerations focusing on fairness, transparency, privacy protection and compliance

  • Describe how thinking skills embedded in Australian curricula can be used to solve problems where AI has the potential to be part of the solution

Skills you will gain

Artificial Intelligence (AI)Machine LearningThinking SkillsEthical AwarenessDesign Thinking
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Beginner Level

Approx. 16 hours to complete
English

Offered by

Placeholder

Macquarie University

Placeholder

IBM

Syllabus - What you will learn from this course

Week
1

Week 1

2 hours to complete

Introduction

2 hours to complete
2 videos (Total 5 min), 8 readings
8 readings
Why do teachers and students need to know about AI?7m
Course background and accreditation8m
Course structure and learning outcomes5m
Learning activities and resources5m
Student resources10m
Research study3m
Podcast with Professor Garry Falloon19m
Podcast with Toby Flavell24m
Week
2

Week 2

4 hours to complete

Knowledge Module: What is AI, History of AI, and Applications of AI

4 hours to complete
1 video (Total 2 min), 17 readings, 4 quizzes
17 readings
About this module3m
What is intelligence? (continued)5m
Strong AI10m
The development of narrow AI7m
Machine learning2m
Machine Learning for Kids2m
Definitions of AI3m
Intelligence augmentation1m
Relationships between AI and related areas5m
The Turing Test5m
Developments in computer hardware2m
Podcast with Professor Deborah Richards42m
Jeopardy6m
Autonomous cars7m
Types of AI5m
Podcast with Dr Bhavna Antony22m
Knowledge Module: Activities and resources3m
4 practice exercises
Topic 110m
Topic 25m
Topic 35m
Knowledge Module10m
Week
3

Week 3

4 hours to complete

Skills Module - Part A: Design Thinking, and Critical and Creative Thinking

4 hours to complete
1 video (Total 2 min), 21 readings, 3 quizzes
21 readings
About this module5m
History of design thinking10m
An important principle3m
What is design thinking?5m
Design thinking defined5m
Models of design thinking10m
Applying design thinking in an educational context2m
Podcast with Steve Nouri27m
Developing thinking skills5m
Unhelpful stereotypes of critical and creative thinking2m
Defining critical and creative thinking5m
Creativity in STEM10m
Creativity in STEM (continued)5m
Art as a catalyst for critical thinking5m
Introducing convergent and divergent thinking2m
Strategies for fostering thinking skills5m
Four elements of critical and creative thinking in the Australian Curriculum5m
ACARA's critical and creative thinking model10m
Creative AI10m
Podcast with Professor Emily Cross24m
Skills Module — Part A: Activities and resources3m
3 practice exercises
Topic 45m
Topic 510m
Skills Module — Part A14m
Week
4

Week 4

4 hours to complete

Skills Module — Part B: Data Fluency, and Computational Thinking

4 hours to complete
1 video (Total 2 min), 20 readings, 4 quizzes
20 readings
About this module5m
What is data fluency?10m
What is data?5m
Data in education5m
Definitions from the Mathematics Syllabus glossary5m
Garbage in, garbage out (GIGO)5m
Accuracy of decision-making5m
Examining a data set7m
Decision-making: Dog or cat?5m
Photographic data sets of dogs and cats5m
Training a machine learning model in MLFK15m
Data within a machine learning project5m
Podcast with Dr Cormac Purcell28m
Computational thinking influencers5m
Computational thinking in the Science and Technology syllabus3m
Computational thinking concepts5m
Unplugged activities10m
Device-based activities20m
Podcast with Dr Rolf Schwitter28m
Skills Module - Part B: Activities and resources3m
4 practice exercises
Data and decision-making in AI applications10m
Topic 65m
Topic 710m
Skills Module - Part B15m

Reviews

TOP REVIEWS FROM ARTIFICIAL INTELLIGENCE (AI) EDUCATION FOR TEACHERS

View all reviews

Frequently Asked Questions

More questions? Visit the Learner Help Center.