4.7
étoiles
186 évaluations

99 %

Dr Anne Forbes +1 enseignant de plus

5 403 déjà inscrits

Offert par

Université Macquarie

Réseau de compétences IBM

Artificial Intelligence (AI) Education for Teachers

Université Macquarie

À propos de ce cours

6 819 consultations récentes

Today’s learners need to know what artificial intelligence (AI) is, how it works, how to use it in their everyday lives, and how it could potentially be used in their future. Using AI requires skills and values which extend far beyond simply having knowledge about coding and technology.
This course is designed by teachers, for teachers, and will bridge the gap between commonly held beliefs about AI, and what it really is. AI can be embedded into all areas of the school curriculum and this course will show you how. 

This course will appeal to teachers who want to increase their general understanding of AI, including why it is important for learners; and/or to those who want to embed AI into their teaching practice and their students’ learning. There is also a unique opportunity to implement a Capstone Project for students alongside this professional learning course.

Macquarie School of Education at Macquarie University and IBM Australia have collaborated to create this course which is aligned to AITSL ‘Proficient Level’ Australian Professional Standards at AQF Level 8.

Dates limites flexibles

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100 % en ligne

Commencez dès maintenant et apprenez aux horaires qui vous conviennent.

Niveau débutant

Approx. 16 heures pour terminer

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Ce que vous allez apprendre

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

Compétences que vous acquerrez

Artificial Intelligence (AI)
Machine Learning
Thinking Skills
Ethical Awareness
Design Thinking

Dates limites flexibles

Réinitialisez les dates limites selon votre disponibilité.

100 % en ligne

Commencez dès maintenant et apprenez aux horaires qui vous conviennent.

Niveau débutant

Approx. 16 heures pour terminer

Anglais

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Enseignants

Évaluation de l'enseignant

4,6/5 (114 évaluations)

Dr Anne Forbes

Senior Lecturer, STEM Education

Macquarie School of Education

5 403 étudiants

1 cours

Dr Markus Powling

Senior Research Officer

Macquarie School of Education

5 403 étudiants

1 cours

Offert par

IBM is the global leader in business transformation through an open hybrid cloud platform and AI, serving clients in more than 170 countries around the world. Today 47 of the Fortune 50 Companies rely on the IBM Cloud to run their business, and IBM Watson enterprise AI is hard at work in more than 30,000 engagements. IBM is also one of the world’s most vital corporate research organizations, with 28 consecutive years of patent leadership. Above all, guided by principles for trust and transparency and support for a more inclusive society, IBM is committed to being a responsible technology innovator and a force for good in the world.

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Programme de cours : ce que vous apprendrez dans ce cours

Évaluation du contenu99%(1,198 évaluations)

Semaine

Semaine 1

2 heures pour terminer

Introduction

2 heures pour terminer

2 vidéos (Total 5 min), 8 lectures

2 vidéos

Welcome and introduction to Artificial Intelligence (AI) for Teachers3 min

Overview of course structure1 min

8 lectures

Why do teachers and students need to know about AI?7 min

Course background and accreditation8 min

Course structure and learning outcomes5 min

Learning activities and resources5 min

Student resources10 min

Research study3 min

Podcast with Professor Garry Falloon19 min

Podcast with Toby Flavell24 min

Semaine

Semaine 2

4 heures pour terminer

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

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.

4 heures pour terminer

1 vidéo (Total 2 min), 17 lectures, 4 quiz

1 vidéo

Introduction to AI, its history and applications1 min

17 lectures

About this module3 min

What is intelligence? (continued)5 min

Strong AI10 min

The development of narrow AI7 min

Machine learning2 min

Machine Learning for Kids2 min

Definitions of AI3 min

Intelligence augmentation1 min

Relationships between AI and related areas5 min

The Turing Test5 min

Developments in computer hardware2 min

Podcast with Professor Deborah Richards42 min

Jeopardy6 min

Autonomous cars7 min

Types of AI5 min

Podcast with Dr Bhavna Antony22 min

Knowledge Module: Activities and resources3 min

4 exercices pour s'entraîner

Topic 110 min

Topic 25 min

Topic 35 min

Knowledge Module10 min

Semaine

Semaine 3

4 heures pour terminer

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

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.

4 heures pour terminer

1 vidéo (Total 2 min), 21 lectures, 3 quiz

1 vidéo

Overview of design thinking, and critical and creative thinking2 min

21 lectures

About this module5 min

History of design thinking10 min

An important principle3 min

What is design thinking?5 min

Design thinking defined5 min

Models of design thinking10 min

Applying design thinking in an educational context2 min

Podcast with Steve Nouri27 min

Developing thinking skills5 min

Unhelpful stereotypes of critical and creative thinking2 min

Defining critical and creative thinking5 min

Creativity in STEM10 min

Creativity in STEM (continued)5 min

Art as a catalyst for critical thinking5 min

Introducing convergent and divergent thinking2 min

Strategies for fostering thinking skills5 min

Four elements of critical and creative thinking in the Australian Curriculum5 min

ACARA's critical and creative thinking model10 min

Creative AI10 min

Podcast with Professor Emily Cross24 min

Skills Module — Part A: Activities and resources3 min

3 exercices pour s'entraîner

Topic 45 min

Topic 510 min

Skills Module — Part A14 min

Semaine

Semaine 4

4 heures pour terminer

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

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.

4 heures pour terminer

1 vidéo (Total 2 min), 20 lectures, 4 quiz

1 vidéo

Overview of data fluency, and computational thinking1 min

20 lectures

About this module5 min

What is data fluency?10 min

What is data?5 min

Data in education5 min

Definitions from the Mathematics Syllabus glossary5 min

Garbage in, garbage out (GIGO)5 min

Accuracy of decision-making5 min

Examining a data set7 min

Decision-making: Dog or cat?5 min

Photographic data sets of dogs and cats5 min

Training a machine learning model in MLFK15 min

Data within a machine learning project5 min

Podcast with Dr Cormac Purcell28 min

Computational thinking influencers5 min

Computational thinking in the Science and Technology syllabus3 min

Computational thinking concepts5 min

Unplugged activities10 min

Device-based activities20 min

Podcast with Dr Rolf Schwitter28 min

Skills Module - Part B: Activities and resources3 min

4 exercices pour s'entraîner

Data and decision-making in AI applications10 min

Topic 65 min

Topic 710 min

Skills Module - Part B15 min

Semaine

Semaine 5

2 heures pour terminer

Values Module: Ethical Decision Making, and Bias Awareness

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.

2 heures pour terminer

1 vidéo (Total 1 min), 12 lectures, 3 quiz

1 vidéo

Introduction to ethical decision making, and bias awareness1 min

12 lectures

About this module5 min

Closed-circuit television (CCTV) in schools5 min

Personality-quiz app data5 min

Pilots and AI10 min

Podcast with Kaaren Koomen30 min

Calling the shot5 min

Bias in more consequential decisions5 min

Cognitive biases5 min

Prejudice rather than cognition3 min

"The data is the code."5 min

AI and discrimination5 min

Values Module: Activities and resources3 min

3 exercices pour s'entraîner

Topic 85 min

Topic 95 min

Values Module10 min

Semaine

Semaine 6

1 heure pour terminer

Conclusion

1 heure pour terminer

1 vidéo (Total 1 min), 2 lectures

Avis

4.7

55 avis

5 stars
80,10 %
4 stars
15,59 %
3 stars
3,76 %
1 star
0,53 %

Meilleurs avis pour ARTIFICIAL INTELLIGENCE (AI) EDUCATION FOR TEACHERS

par MK20 juil. 2022

Tremendous contect, great flow and level of information. It has provided much though and comtemplation as well as relevent practical and theoretical explanations.

par BH8 déc. 2020

Really good course! It is full of valuable information which can be transferred to the classroom.

par SG10 juil. 2022

I enjoyed this class very much. I learned so much about AI!

par DG25 juin 2022

It was really so beneficial, learnt a lot about the role of AI and Machine Learning in Education and how we can use it effectively to train the students for advanced and creative learning

Voir tous les avis

Foire Aux Questions

Quand aurai-je accès aux vidéos de cours et aux devoirs ?
L’accès à des vidéos de cours et des devoirs dépend de votre type d’inscription. Si vous suivez un cours en mode auditeur libre, vous pourrez voir la plupart des contenus de cours gratuitement. Pour accéder aux devoirs notés et obtenir un certificat, vous devrez acheter une expérience de certificat, pendant ou après avoir assister au cours en tant qu’auditeur libre. Si vous ne visualisez pas l’option auditeur libre :
Il est possible que le cours ne propose pas d’option auditeur libre. Vous pouvez en revanche accéder à un essai gratuit ou faire une demande d'aide financière.
Le cours propose peut-être « Cours complet, aucun certificat » à la place. Cette option vous permet de voir tous les contenus de cours, de soumettre les évaluations requises et d'obtenir une note finale. Cependant, vous ne pourrez pas acheter une expérience de certificat.
Do I need to be a STEM teacher to be able to do this course?
This course is suitable for all teachers of students aged 5 through to 17 years. You do not need to be a STEM teacher to be able to do this course.
Does the course need to be done in a sequence? Or can I do modules/topics out of order?
You can do this course at your own pace and in or out of sequence. Modules and topics can be done in the order they are presented in the course, or you can pick and choose the topics you are most interested in.
Is it too early to learn about AI in primary school?
Primary school is the best time to introduce AI to learners. Early learning experiences with AI provide students with the knowledge, experience and confidence to tackle significant problems where AI solutions would be beneficial.
I am not 'techy' — will I able to understand the content in this course?
This course is designed for all teachers to learn the basics of AI, you do not need to be ‘techy’.
If AI isn't mentioned in the curriculum that I teach, is this course still relevant to me?
Yes. This course explains how you can embed AI, or aspects of AI into your classroom practice. For example, ethical considerations and bias awareness are key elements of designing AI for good.
What background knowledge is required to do this course?
This course is designed for teachers, so it is assumed you have an understanding of how to design and implement learning and teaching sequences for students in schools.
Do I need to know about coding or programming to take this course?
No, you don’t need to know about coding or programming to undertake this course.
What evidence will I receive when I have completed this course?
There is no certificate associated with this course, however you can view your completed Coursera courses on your Accomplishments page. View the Learner Help Center for further information.

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Artificial Intelligence (AI) Education for Teachers

Artificial Intelligence (AI) Education for Teachers

À propos de ce cours

Ce que vous allez apprendre

Compétences que vous acquerrez