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Dr Anne Forbes
and
Dr Markus Powling
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.
Read more
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.
Read more
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.
Register for this course and see more details by visiting:
OpenCourser.com/course/5uxsm4/artificial
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What's inside
Syllabus
Introduction
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.
Read more
Syllabus
Introduction
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.
Read more
Traffic lights
Traffic lights
Read about what's good
what should give you pause and
possible dealbreakers
Provides a foundation in AI for teachers
Introduces the history and applications of AI
Develops skills in design thinking and critical thinking
Covers data fluency and computational thinking
Examines ethical decision-making and bias awareness in AI
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Create your own learning path.
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Reviews summary
Ai education for teachers: foundational & practical
Students say this course offers a comprehensive and practical introduction to Artificial Intelligence for educators. It effectively bridges the gap between common misconceptions and the reality of AI, providing a strong foundational understanding. Learners particularly appreciate the focus on integrating AI into the school curriculum and developing 21st-century skills like design thinking and computational thinking. The modules on ethical decision-making and bias awareness are highlighted as particularly relevant and insightful. While largely beneficial for teachers, some learners might find the content introductory, desiring more depth in technical areas. Overall, it's seen as a valuable resource for professional development, especially due to its alignment with AITSL standards and the unique opportunity for a Capstone Project.
Fosters essential skills like design thinking and data fluency.
"The course really emphasized critical and creative thinking, which are invaluable for both teachers and students."
"I found the sections on data fluency and computational thinking particularly helpful for modern pedagogy."
"It connected AI concepts to broader skills vital for future-ready learners."
Addresses crucial ethical considerations and bias in AI systems.
"The module on ethical decision-making and bias was a highlight, so important for our students to understand."
"I gained critical insights into the societal implications of AI and how to discuss them with my students."
"It highlighted the necessity of teaching responsible AI usage, which I hadn't fully considered before."
Provides a clear, practical introduction to core AI concepts.
"This course genuinely clarified what AI is, its history, and its real-world applications for me."
"I appreciated how it demystified AI, moving beyond the hype to what teachers actually need to know."
"It offered a solid groundwork that made me feel more confident discussing AI in the classroom."
Equips educators with strategies to embed AI into curriculum.
"The ideas for integrating AI into daily teaching practice were incredibly useful and directly applicable."
"I now have concrete ways to incorporate computational thinking and design thinking into my lessons."
"It genuinely helped me see how AI isn't just for tech classes, but for all areas of the curriculum."
Offers a broad overview, potentially lacking deep technical detail.
"As someone with some prior tech knowledge, I found certain parts a bit too basic, but good for true beginners."
"I was hoping for a bit more hands-on coding examples, but it focuses more on conceptual understanding."
"It provides an excellent starting point, but I'll need to seek additional resources for more in-depth technical skills."
Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Artificial Intelligence (AI) Education for Teachers with these
activities:
Examine key technology terms
Show steps
Familiarize yourself with the jargon to build a solid base for the course.
Browse courses on
Artificial Intelligence
Show steps
-
Create a vocabulary list of terms related to artificial intelligence.
-
Define each term using trusted online resources.
Review 'Machine Learning for Dummies'
Show steps
Gain a foundational understanding of machine learning concepts.
View
Data Analytics & Visualization All-in-One For...
on Amazon
Show steps
-
Read chapters 1-3 to understand the basics of machine learning.
-
Complete the practice exercises at the end of each chapter.
Revisit problem-solving techniques
Show steps
Sharpen your analytical abilities for effective AI implementation.
Browse courses on
Problem Solving
Show steps
-
Review problem-solving frameworks and methodologies.
-
Practice solving AI-related problems using online resources or textbooks.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Experiment with AI tools
Show steps
Develop hands-on experience using industry-standard AI tools.
Browse courses on
AI Tools
Show steps
-
Choose an AI tool or platform of your choice.
-
Follow tutorials or documentation to learn the basics.
-
Complete practice exercises or projects to apply your knowledge.
Collaborate on AI projects
Show steps
Engage with peers to enhance your learning through teamwork.
Browse courses on
Group Projects
Show steps
-
Form a study group with classmates.
-
Choose an AI-related project to work on together.
-
Assign responsibilities and collaborate on research, development, and presentation.
-
Present your project to the class and receive feedback.
Develop a lesson plan integrating AI
Show steps
Put your learning into practice by designing a lesson that leverages AI.
Browse courses on
Curriculum Development
Show steps
-
Identify a specific subject and grade level for your lesson plan.
-
Research and select an AI tool or resource that aligns with your learning objectives.
-
Develop a lesson plan outline that integrates the AI tool.
-
Create supporting materials, such as worksheets or presentations.
-
Reflect on the effectiveness of the lesson plan and make adjustments as needed.
Organize and review course materials
Show steps
Improve knowledge retention by organizing and revisiting course content.
Browse courses on
Note-Taking
Show steps
-
Review lecture notes, readings, and assignments regularly.
-
Create summaries or mind maps to synthesize key concepts.
Attend workshops on AI applications
Show steps
Expand your knowledge and connect with professionals in the AI field.
Browse courses on
Networking
Show steps
-
Search for and register for AI workshops or conferences.
-
Attend the events and actively participate in discussions and networking.
Examine key technology terms
Show steps
Familiarize yourself with the jargon to build a solid base for the course.
Browse courses on
Artificial Intelligence
Show steps
Show steps
Show steps
- Create a vocabulary list of terms related to artificial intelligence.
- Define each term using trusted online resources.
Review 'Machine Learning for Dummies'
Show steps
Gain a foundational understanding of machine learning concepts.
View
Data Analytics & Visualization All-in-One For...
on Amazon
Show steps
Show steps
Show steps
- Read chapters 1-3 to understand the basics of machine learning.
- Complete the practice exercises at the end of each chapter.
Revisit problem-solving techniques
Show steps
Sharpen your analytical abilities for effective AI implementation.
Browse courses on
Problem Solving
Show steps
Show steps
Show steps
- Review problem-solving frameworks and methodologies.
- Practice solving AI-related problems using online resources or textbooks.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Experiment with AI tools
Show steps
Develop hands-on experience using industry-standard AI tools.
Browse courses on
AI Tools
Show steps
Show steps
Show steps
- Choose an AI tool or platform of your choice.
- Follow tutorials or documentation to learn the basics.
- Complete practice exercises or projects to apply your knowledge.
Collaborate on AI projects
Show steps
Engage with peers to enhance your learning through teamwork.
Browse courses on
Group Projects
Show steps
Show steps
Show steps
- Form a study group with classmates.
- Choose an AI-related project to work on together.
- Assign responsibilities and collaborate on research, development, and presentation.
- Present your project to the class and receive feedback.
Develop a lesson plan integrating AI
Show steps
Put your learning into practice by designing a lesson that leverages AI.
Browse courses on
Curriculum Development
Show steps
Show steps
Show steps
- Identify a specific subject and grade level for your lesson plan.
- Research and select an AI tool or resource that aligns with your learning objectives.
- Develop a lesson plan outline that integrates the AI tool.
- Create supporting materials, such as worksheets or presentations.
- Reflect on the effectiveness of the lesson plan and make adjustments as needed.
Organize and review course materials
Show steps
Improve knowledge retention by organizing and revisiting course content.
Browse courses on
Note-Taking
Show steps
Show steps
Show steps
- Review lecture notes, readings, and assignments regularly.
- Create summaries or mind maps to synthesize key concepts.
Attend workshops on AI applications
Show steps
Expand your knowledge and connect with professionals in the AI field.
Browse courses on
Networking
Show steps
Show steps
Show steps
- Search for and register for AI workshops or conferences.
- Attend the events and actively participate in discussions and networking.
Career center
Learners who complete Artificial Intelligence (AI) Education for Teachers will develop knowledge and skills
that may be useful to these careers:
Artificial Intelligence Researcher
Artificial Intelligence Researcher
Artificial Intelligence Researchers conduct research on the theory and development of AI systems. They may focus on a particular area of AI, such as natural language processing or computer vision. As an AI Education expert, you would have a background in the history and applications of AI. This course will help you build a solid foundation in AI that will prepare you for research in this field.
Data Scientist
Data Scientist
Data Scientists use their skills to extract insights from data. They may work with a variety of data sources, such as social media data or sensor data. As an AI Education expert, you could bring a deep understanding of AI to the table. This course will help you develop skills in data fluency and computational thinking, both of which are essential for Data Scientists.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers build and maintain software for training machine learning models. They may focus on a particular type of model, such as natural language processing or image recognition models. This course will introduce you to the history of AI and its applications. It will also help you build a foundation in skills like design thinking and computational thinking, which are essential for Machine Learning Engineers.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software systems. They use their knowledge of programming languages and software development tools to build applications that meet the needs of users. As an AI Education expert, you could provide valuable insights into the design and development of AI-powered software. This course will give you an understanding of the ethical issues surrounding AI, which will be increasingly important for Software Engineers in the future.
Data Analyst
Data Analyst
Data Analysts use their skills to gain insights for businesses. These insights may relate to marketing efforts, sales techniques, or other business objectives. As an AI Education expert, you could bring a unique understanding of AI's role in data analysis to the table. You could be an asset to a team looking to leverage AI's strengths and avoid its pitfalls. This course will give you a foundation in AI that can help inform your techniques as a Data Analyst.
Project Manager
Project Manager
Project Managers are responsible for planning, executing, and closing projects. They work with a variety of stakeholders, such as team members, clients, and vendors. As an AI Education expert, you could bring a unique understanding of how AI can be used to improve project management. This course will help you develop skills in project management, which are essential for Project Managers.
Business Analyst
Business Analyst
Business Analysts use their skills to analyze business processes and identify opportunities for improvement. They may work with a variety of stakeholders, such as customers, employees, and managers. As an AI Education expert, you could bring a unique understanding of how AI can be used to improve business processes. This course will help you develop skills in problem-solving and decision-making, which are both essential for Business Analysts.
Product Manager
Product Manager
Product Managers are responsible for the planning, development, and launch of new products. They work with a variety of stakeholders, such as engineers, designers, and marketers. As an AI Education expert, you could bring a unique understanding of how AI can be used to develop new products. This course will help you develop skills in product management, which are essential for Product Managers.
Quality Assurance Analyst
Quality Assurance Analyst
Quality Assurance Analysts are responsible for testing software products to ensure that they meet quality standards. They work with a variety of stakeholders, such as developers, testers, and customers. As an AI Education expert, you could bring a unique understanding of how AI can be used to improve software quality. This course will help you develop skills in software testing, which are essential for Quality Assurance Analysts.
Technical Writer
Technical Writer
Technical Writers are responsible for writing documentation for software products. They work with a variety of stakeholders, such as developers, engineers, and customers. As an AI Education expert, you could bring a unique understanding of how AI can be used to improve technical writing. This course will help you develop skills in technical writing, which are essential for Technical Writers.
Recruiter
Recruiter
Recruiters are responsible for finding and hiring new employees. They work with a variety of stakeholders, such as hiring managers, candidates, and HR departments. As an AI Education expert, you could bring a unique understanding of how AI can be used to improve recruiting. This course will help you develop skills in recruiting, which are essential for Recruiters.
Consultant
Consultant
Consultants provide advice to businesses on a variety of topics, such as strategy, operations, and marketing. As an AI Education expert, you could bring a unique understanding of how AI can be used to improve business outcomes. This course will help you develop skills in consulting, which are essential for Consultants.
Entrepreneur
Entrepreneur
Entrepreneurs start and run their own businesses. They may work in a variety of industries, such as technology, retail, and healthcare. As an AI Education expert, you could bring a unique understanding of how AI can be used to create new businesses. This course will help you develop skills in entrepreneurship, which are essential for Entrepreneurs.
Teacher
Teacher
Teachers educate students in a variety of subjects, such as math, science, and history. As an AI Education expert, you could bring a unique understanding of how AI can be used to improve teaching and learning. This course will help you develop skills in teaching, which are essential for Teachers.
Policy Analyst
Policy Analyst
Policy Analysts research and analyze public policy issues. They may work for a variety of organizations, such as government agencies, think tanks, and advocacy groups. As an AI Education expert, you could bring a unique understanding of how AI can be used to improve public policy. This course will help you develop skills in policy analysis, which are essential for Policy Analysts.
For more career information including salaries, visit:
OpenCourser.com/course/5uxsm4/artificial
Reading list
We've selected 13 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Artificial Intelligence (AI) Education for Teachers.
Provides a comprehensive overview of machine learning algorithms and techniques from a probabilistic perspective. It is particularly useful for readers who want to gain a deeper understanding of the underlying principles of machine learning.
Save
Provides a comprehensive overview of the theoretical foundations of deep learning. It is particularly useful for readers who want to gain a deeper understanding of the underlying principles of deep learning.
Provides a comprehensive overview of the theoretical foundations of reinforcement learning. It is particularly useful for readers who want to gain a deeper understanding of the underlying principles of reinforcement learning.
Provides a comprehensive overview of the theoretical foundations of artificial intelligence. It is particularly useful for readers who want to gain a deeper understanding of the underlying principles of AI.
Provides a comprehensive overview of speech and language processing algorithms and techniques. It is particularly useful for readers who want to gain a deeper understanding of the underlying principles of speech and language processing.
Provides a comprehensive overview of probabilistic graphical models. It is particularly useful for readers who want to gain a deeper understanding of the underlying principles of probabilistic graphical models.
Provides a comprehensive overview of machine learning algorithms and techniques. It is particularly useful for readers who want to learn about machine learning in a practical way.
Save
Provides a comprehensive overview of computer vision algorithms and techniques. It is particularly useful for readers who want to gain a deeper understanding of the underlying principles of computer vision.
Provides a comprehensive overview of natural language processing algorithms and techniques. It is particularly useful for readers who want to gain a deeper understanding of the underlying principles of natural language processing.
Save
Provides a comprehensive overview of the current state of artificial intelligence (AI) and its potential applications in education. It is particularly useful for readers who want to gain a deeper understanding of the theoretical foundations of AI and its implications for teaching and learning.
Provides a comprehensive overview of deep learning algorithms and techniques for natural language processing. It is particularly useful for readers who want to gain a deeper understanding of the underlying principles of deep learning for NLP.
Provides a comprehensive overview of computer vision algorithms and techniques. It is particularly useful for readers who want to gain a deeper understanding of the underlying principles of computer vision.
Provides a practical introduction to deep learning using the fastai library. It is particularly useful for readers who want to learn about deep learning in a hands-on way.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/5uxsm4/artificial
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Rating
4.7
Effort
Approx. 16 hours
Level
Introductory
Via
Coursera
Institutions
Macquarie University
IBM
Instructors
Dr Anne Forbes
Dr Markus Powling
Language
English
Transcripts
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