Macquarie University
Artificial Intelligence (AI) Education for Teachers
Macquarie University

Artificial Intelligence (AI) Education for Teachers

Dr Anne Forbes
Dr Markus Powling

Instructors: Dr Anne Forbes

29,136 already enrolled

Included with Coursera Plus

Gain insight into a topic and learn the fundamentals.
4.7

(722 reviews)

Beginner level

Recommended experience

Flexible schedule
Approx. 16 hours
Learn at your own pace
98%
Most learners liked this course
Gain insight into a topic and learn the fundamentals.
4.7

(722 reviews)

Beginner level

Recommended experience

Flexible schedule
Approx. 16 hours
Learn at your own pace
98%
Most learners liked this course

What you'll 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

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

14 assignments

Taught in English

See how employees at top companies are mastering in-demand skills

Placeholder
Placeholder

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV

Share it on social media and in your performance review

Placeholder

There are 6 modules in this course

In this module we'll introduce you to the course, tell you a little bit about why we think it's important that you and your students know about artificial intelligence (AI), and share with you some additional resources that might be useful.

What's included

2 videos8 readings3 discussion prompts

In his book, “Make. Think. Imagine”, John Browne writes: “Artificial intelligence seems to be everywhere”. Some of its recent applications and achievements are well known; its potential to help build – or undermine – our civilisation is immense. As teachers, it’s hard for us to ignore this potential. AI is changing the tools we have at our disposal and adds to the impetus for a curriculum which incorporates the so-called "21st century skills". In this module, you will think about how AI may be defined, particularly in relation to human intelligence, and how it has taken different forms. You will consider how it has evolved over the last 70 years and come to show promise in so many different applications.

What's included

1 video17 readings4 assignments6 discussion prompts2 plugins

Both design thinking, and critical and creative thinking (CCT), embrace skills which are important for teams working to solve problems with AI. In design thinking, these skills include collaboration, solving a problem with constraints, coming up with an idea, testing it, and if necessary, going back to the drawing board. The process is iterative. As for CCT, creative thinking is required to identify opportunities for AI, and critical thinking can help us evaluate its application. In this module, you will learn about the key principles and stages in the design thinking process. You will consider CCT from the perspective of convergent and divergent thinking, de Bono's Six Hats, and ACARA's four quadrant model. Examples of "creative AI" will be examined to help us understand the barriers to machine creativity.

What's included

1 video21 readings3 assignments4 discussion prompts3 plugins

When it comes to computational thinking skills, there are two people who’ve been very influential in bringing them to the classroom. One is Seymour Papert who in the 1960s developed a computer program for children. The other influential person is Jeanette Wing, a data scientist, who wrote a short article advocating the use of computational thinking. In this module, you’ll appreciate that human or AI decision-making depends crucially on the quality of data. You’ll think about what data is, how it takes different forms and can be represented in different ways. Using the website, Machine Learning for Kids, we will look at what has been a classic problem in image recognition: being able to distinguish between cats and dogs. You’ll also learn about just what computational thinking is, its place in the Australian Curriculum, and the ideas and skills behind it. You’ll see how these skills can be developed with both “unplugged” and computer-based activities.

What's included

1 video20 readings4 assignments3 discussion prompts2 plugins

Back in the 1940s, one of the grand masters of science fiction, Isaac Asimov, introduced into his stories the "laws of robotics" which were designed to protect humans from wayward machines. While machine intelligence has not evolved in ways that Asimov could have foreseen, there is still a need to ensure that AI works for the good of society. In this module, we will explore some of the ethical issues associated with AI. We will look at a CSIRO framework to help deal with these issues. We will see that decisions or predictions based on AI can be just as biased and prejudicial as those made by human individuals and groups. The Human Rights Commission recently reported the results of a poll designed to garner support for a variety of protective measures (Hunter, F. 'Human Rights Commission warns government over “dangerous” use of AI.' SMH, August 15, 2020). For example, it might be considered important that people should know when a decision which affects them, has been made by computer and that they have the right to appeal against such a decision.

What's included

1 video12 readings3 assignments2 discussion prompts1 plugin

In this module we'll summarise the course, and remind you of some options you might like to utilise in your future teaching practice.

What's included

1 video2 readings1 discussion prompt

Instructors

Instructor ratings
4.6 (308 ratings)
Dr Anne Forbes
Macquarie University
1 Course29,136 learners
Dr Markus Powling
Macquarie University
1 Course29,136 learners

Offered by

IBM

Recommended if you're interested in Education

Why people choose Coursera for their career

Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

Learner reviews

Showing 3 of 722

4.7

722 reviews

  • 5 stars

    78.03%

  • 4 stars

    16.43%

  • 3 stars

    3.59%

  • 2 stars

    0.27%

  • 1 star

    1.65%

GW
4

Reviewed on May 8, 2022

JV
5

Reviewed on Apr 6, 2024

MM
5

Reviewed on Mar 4, 2023

Placeholder

Open new doors with Coursera Plus

Unlimited access to 7,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription

Advance your career with an online degree

Earn a degree from world-class universities - 100% online

Join over 3,400 global companies that choose Coursera for Business

Upskill your employees to excel in the digital economy

Frequently asked questions