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Artificial Intelligence (AI) Education for Teachers
  • Level Foundation
  • المدة 16 ساعات hours
  • الطبع بواسطة Macquarie University
  • Offered by

عن

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.

الوحدات

Course Overview

    • 2 Videos
    • 4 Readings
Show info about module content

2 Videos

  • Welcome and introduction to Artificial Intelligence (AI) for Teachers
  • Overview of course structure

4 Readings

  • Why do teachers and students need to know about AI?
  • Course background and accreditation
  • Course structure and learning outcomes
  • Learning activities and resources

External Projects and Research Options

    • 2 Readings
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2 Readings

  • Student resources
  • Research study

Podcasts

    • 2 Readings
    • 2 Discussion
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2 Discussions

  • Podcast with Professor Garry Falloon
  • Podcast with Toby Flavell

2 Readings

  • Podcast with Professor Garry Falloon
  • Podcast with Toby Flavell

Meet Your Fellow Learners

    • 1 Discussion
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1 Discussions

  • Introduce yourself

Module Overview

    • 1 Videos
    • 1 Readings
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1 Videos

  • Introduction to AI, its history and applications

1 Readings

  • About this module

Topic 1: What is AI

    • 8 Readings
    • 2 Discussion
    • 2 Plugin
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2 Discussions

  • What is intelligence?
  • Defining AI

8 Readings

  • 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 Check

    • 1 Assignment
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1 Assignment

  • Topic 1

Topic 2: History of AI

    • 2 Readings
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2 Readings

  • The Turing Test
  • Developments in computer hardware

Knowledge Check

    • 1 Assignment
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1 Assignment

  • Topic 2

Topic 3: Applications of AI

    • 5 Readings
    • 4 Discussion
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4 Discussions

  • Podcast with Professor Deborah Richards
  • Introducing Mitsuku
  • AI and flood warnings
  • Podcast with Dr Bhavna Antony

5 Readings

  • Podcast with Professor Deborah Richards
  • Jeopardy
  • Autonomous cars
  • Types of AI
  • Podcast with Dr Bhavna Antony

Knowledge Check

    • 1 Assignment
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1 Assignment

  • Topic 3

Module Summary

    • 1 Readings
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1 Readings

  • Knowledge Module: Activities and resources

Module Assessment

    • 1 Assignment
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1 Assignment

  • Knowledge Module

Module Overview

    • 1 Videos
    • 1 Readings
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1 Videos

  • Overview of design thinking, and critical and creative thinking

1 Readings

  • About this module

Topic 4: Design Thinking

    • 7 Readings
    • 1 Discussion
    • 2 Plugin
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1 Discussions

  • Podcast with Steve Nouri

7 Readings

  • 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

Knowledge Check

    • 1 Assignment
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1 Assignment

  • Topic 4

Topic 5: Critical and Creative Thinking

    • 12 Readings
    • 3 Discussion
    • 1 Plugin
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3 Discussions

  • Sample challenge - Reducing road congestion
  • Critical thinking and AI
  • Podcast with Professor Emily Cross

12 Readings

  • 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

Knowledge Check

    • 1 Assignment
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1 Assignment

  • Topic 5

Module Summary

    • 1 Readings
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1 Readings

  • Skills Module — Part A: Activities and resources

Module Assessment

    • 1 Assignment
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1 Assignment

  • Skills Module — Part A

Module Overview

    • 1 Videos
    • 1 Readings
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1 Videos

  • Overview of data fluency, and computational thinking

1 Readings

  • About this module

Topic 6: Data Fluency

    • 12 Readings
    • 1 Discussion
    • 1 Assignment
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1 Assignment

  • Data and decision-making in AI applications

1 Discussions

  • Podcast with Dr Cormac Purcell

12 Readings

  • 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

Knowledge Check

    • 1 Assignment
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1 Assignment

  • Topic 6

Topic 7: Computational Thinking

    • 6 Readings
    • 2 Discussion
    • 2 Plugin
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2 Discussions

  • 21st century skills
  • Podcast with Dr Rolf Schwitter

6 Readings

  • Computational thinking influencers
  • Computational thinking in the Science and Technology syllabus
  • Computational thinking concepts
  • Unplugged activities
  • Device-based activities
  • Podcast with Dr Rolf Schwitter

Knowledge Check

    • 1 Assignment
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1 Assignment

  • Topic 7

Module Summary

    • 1 Readings
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1 Readings

  • Skills Module - Part B: Activities and resources

Module Assessment

    • 1 Assignment
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1 Assignment

  • Skills Module - Part B

Module Overview

    • 1 Videos
    • 1 Readings
Show info about module content

1 Videos

  • Introduction to ethical decision making, and bias awareness

1 Readings

  • About this module

Topic 8: Ethical Decision Making

    • 4 Readings
    • 2 Discussion
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2 Discussions

  • Ethical issues raised by AI
  • Podcast with Kaaren Koomen

4 Readings

  • Closed-circuit television (CCTV) in schools
  • Personality-quiz app data
  • Pilots and AI
  • Podcast with Kaaren Koomen

Knowledge Check

    • 1 Assignment
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1 Assignment

  • Topic 8

Topic 9: Bias Awareness

    • 6 Readings
    • 1 Plugin
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6 Readings

  • Calling the shot
  • Bias in more consequential decisions
  • Cognitive biases
  • Prejudice rather than cognition
  • "The data is the code."
  • AI and discrimination

Knowledge Check

    • 1 Assignment
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1 Assignment

  • Topic 9

Module Summary

    • 1 Readings
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1 Readings

  • Values Module: Activities and resources

Module Assessment

    • 1 Assignment
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1 Assignment

  • Values Module

Course Summary

    • 1 Videos
    • 2 Readings
    • 1 Discussion
Show info about module content

1 Discussions

  • Final reflection

1 Videos

  • Conclusion

2 Readings

  • Course completion feedback form
  • Next steps

Auto Summary

This engaging course, created by Macquarie School of Education and IBM Australia, is tailored for teachers aiming to deepen their understanding of artificial intelligence (AI) and its integration into the curriculum. Designed to bridge the gap between common misconceptions and the true nature of AI, it offers practical insights for embedding AI in everyday teaching. The course spans 960 hours and aligns with AITSL standards, making it ideal for educators at the foundational level. Available through Coursera with Starter and Professional subscription options, it also includes a unique Capstone Project opportunity for students.

Dr Anne Forbes
Instructors

Dr Anne Forbes

Dr Markus Powling
Instructors

Dr Markus Powling