AI Literacy for Teachers - Ethical AI in Education

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Course Summary

Video transcript

Artificial Intelligence, or AI. How do you feel about it? You may be excited and already looking for ways to leverage this tool, you may feel stressed about how you’re going to work yet another element into your teaching practice, or you may even be downright sceptical and see this as just another fad in the education space.

That’s why Cool.org has teamed up with Melbourne University’s Centre for AI and Digital Ethics. We’ve tapped into the knowledge and skills of experts to create this course specifically for educators. We look at the benefits, how to mitigate the risks, and get hands-on to build your skills.

You will learn:

Course time:

Accreditation:

Supporting resource

Course Content

Module 1: What is AI?

01.

Intro

02.

Welcome to this course

03.

What is AI?

04.

What is generative AI?

05.

Where does AI fit in with technology?

06.

The answers

07.

Chunks, tokens and vectors

08.

From embedding vector to output

09.

Let’s overlap our chunks

10.

How has AI changed?

11.

AI terminology

Module 2: Risk and benefits?

12.

What is AI good at?

13.

Risks of AI

14.

Data: privacy

15.

Data: copyright and IP

16.

Data: accuracy

17.

Mitigating the risk of inaccuracies

18.

Bias

19.

Case studies of bias

20.

Mitigating bias

21.

Developing AI responsibly

22.

Using AI responsibly

Module 3: Developing your AI literacy

23.

AI in Australian schools

24.

Prompt crafting

25.

Best practices

26.

Let’s have a go!

27.

Writing a lesson

28.

Writing a better lesson

29.

Differentiation with AI

30.

Students using AI

31.

AI in education case studies

Reflections

32.

Staying ahead

33.

Reflection

34.

Congratulations

Course Writers

To create this course, we have worked with the following people at Melbourne University’s Centre for AI and Digital Ethics (CAIDE). We wish to extend our most heartfelt thanks for sharing their time and expertise for the benefit of our teachers and Educators.

Professor Jeannie Paterson – Professor of Law, Director of the Centre for AI and Digital Ethics
Dr Marc Cheong – Senior Lecturer in Computing and Information Systems, Deputy Director of the Centre for AI and Digital Ethics
Dr Simon Coghlan – Senior Lecturer in Digital Ethics - Deputy Director of the Centre for AI and Digital Ethics
Mr Joshua Rose – PhD Candidate, Centre for AI and Digital Ethics, Academic Tutor
Ms Rashika Bahl – PhD Candidate, Computing and Information Systems, Academic Tutor
Ms Susan Sheldrick – PhD Candidate, Computing and Information Systems, Academic Tutor
Ms Abi Ward –Centre Manager: Centre for AI and Digital Ethics