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.
ofrecido por
Universidad de Macquarie
Habilidades en redes de IBM
Artificial Intelligence (AI) Education for Teachers
Universidad de MacquarieAcerca de este Curso
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Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Nivel principiante
Aprox. 16 horas para completar
Inglés (English)
Subtítulos: Inglés (English)
Qué aprenderás
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
Habilidades que obtendrás
- Artificial Intelligence (AI)
- Machine Learning
- Thinking Skills
- Ethical Awareness
- Design Thinking
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Nivel principiante
Aprox. 16 horas para completar
Inglés (English)
Subtítulos: Inglés (English)
ofrecido por
Universidad de Macquarie
Macquarie is ranked among the top one per cent of universities in the world, and with a 5-star QS rating, we are recognised for producing graduates who are among the most sought-after professionals in the world. Since our foundation 54 years ago, we have aspired to be a different type of university: one focused on fostering collaboration between students, academics, industry and society.
Habilidades en redes de IBM
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.
Programa - Qué aprenderás en este curso
2 horas para completar
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.
2 horas para completar
2 videos (Total 5 minutos), 8 lecturas
4 horas para completar
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 horas para completar
1 video (Total 2 minutos), 17 lecturas, 4 cuestionarios
4 horas para completar
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 horas para completar
1 video (Total 2 minutos), 21 lecturas, 3 cuestionarios
4 horas para completar
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 horas para completar
1 video (Total 2 minutos), 20 lecturas, 4 cuestionarios
Reseñas
- 5 stars82,03 %
- 4 stars14,37 %
- 3 stars2,99 %
- 1 star0,59 %
Principales reseñas sobre ARTIFICIAL INTELLIGENCE (AI) EDUCATION FOR TEACHERS
por EG31 de dic. de 2021
That was an amazing course! I learned a lot. Thank you so much
por MS7 de mar. de 2021
please provide the certificate for the completion of the course.
por M29 de nov. de 2020
Thank you for this course. I learnt many things from this. This course was very informative and interesting for me..😊
por DG25 de jun. de 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
Preguntas Frecuentes
¿Cuándo podré acceder a las lecciones y tareas?
Do I 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?
Is it too early to learn about AI in primary school?
I am not 'techy' — will I able to understand the content in this course?
If AI isn't mentioned in the curriculum that I teach, is this course still relevant to me?
What background knowledge is required to do this course?
Do I need to know about coding or programming to take this course?
What evidence will I receive when I have completed this course?
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