4.8
estrellas
197 calificaciones

98 %

Dr Anne Forbes +1 instructores más

5806 ya inscrito

Ofrecido Por

Universidad de Macquarie

Habilidades en redes de IBM

Artificial Intelligence (AI) Education for Teachers

Universidad de Macquarie

Acerca de este Curso

11.324 vistas recientes

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.

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)

¿Podría tu empresa beneficiarse de la capacitación de los empleados en las habilidades más demandadas?

Prueba Coursera para negocios

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)

¿Podría tu empresa beneficiarse de la capacitación de los empleados en las habilidades más demandadas?

Prueba Coursera para negocios

Instructores

Calificación del instructor

4,59/5 (120 calificaciones)

Dr Anne Forbes

Senior Lecturer, STEM Education

Macquarie School of Education

5806 alumnos

1 curso

Dr Markus Powling

Senior Research Officer

Macquarie School of Education

5806 alumnos

1 curso

Ofrecido por

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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Programa - Qué aprenderás en este curso

Calificación del contenido98%(1,316 calificaciones)

Semana

Semana 1

2 horas para completar

Introduction

2 horas para completar

2 videos (Total 5 minutos), 8 lecturas

Semana

Semana 2

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

1 video

Introduction to AI, its history and applications1m

17 lecturas

About this module3m

What is intelligence? (continued)5m

Strong AI10m

The development of narrow AI7m

Machine learning2m

Machine Learning for Kids2m

Definitions of AI3m

Intelligence augmentation1m

Relationships between AI and related areas5m

The Turing Test5m

Developments in computer hardware2m

Podcast with Professor Deborah Richards42m

Jeopardy6m

Autonomous cars7m

Types of AI5m

Podcast with Dr Bhavna Antony22m

Knowledge Module: Activities and resources3m

4 ejercicios de práctica

Topic 110m

Topic 25m

Topic 35m

Knowledge Module10m

Semana

Semana 3

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

1 video

Overview of design thinking, and critical and creative thinking2m

21 lecturas

About this module5m

History of design thinking10m

An important principle3m

What is design thinking?5m

Design thinking defined5m

Models of design thinking10m

Applying design thinking in an educational context2m

Podcast with Steve Nouri27m

Developing thinking skills5m

Unhelpful stereotypes of critical and creative thinking2m

Defining critical and creative thinking5m

Creativity in STEM10m

Creativity in STEM (continued)5m

Art as a catalyst for critical thinking5m

Introducing convergent and divergent thinking2m

Strategies for fostering thinking skills5m

Four elements of critical and creative thinking in the Australian Curriculum5m

ACARA's critical and creative thinking model10m

Creative AI10m

Podcast with Professor Emily Cross24m

Skills Module — Part A: Activities and resources3m

3 ejercicios de práctica

Topic 45m

Topic 510m

Skills Module — Part A14m

Semana

Semana 4

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

1 video

Overview of data fluency, and computational thinking1m

20 lecturas

About this module5m

What is data fluency?10m

What is data?5m

Data in education5m

Definitions from the Mathematics Syllabus glossary5m

Garbage in, garbage out (GIGO)5m

Accuracy of decision-making5m

Examining a data set7m

Decision-making: Dog or cat?5m

Photographic data sets of dogs and cats5m

Training a machine learning model in MLFK15m

Data within a machine learning project5m

Podcast with Dr Cormac Purcell28m

Computational thinking influencers5m

Computational thinking in the Science and Technology syllabus3m

Computational thinking concepts5m

Unplugged activities10m

Device-based activities20m

Podcast with Dr Rolf Schwitter28m

Skills Module - Part B: Activities and resources3m

4 ejercicios de práctica

Data and decision-making in AI applications10m

Topic 65m

Topic 710m

Skills Module - Part B15m

Semana

Semana 5

2 horas para completar

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 horas para completar

1 video (Total 1 minutos), 12 lecturas, 3 cuestionarios

1 video

Introduction to ethical decision making, and bias awareness1m

12 lecturas

About this module5m

Closed-circuit television (CCTV) in schools5m

Personality-quiz app data5m

Pilots and AI10m

Podcast with Kaaren Koomen30m

Calling the shot5m

Bias in more consequential decisions5m

Cognitive biases5m

Prejudice rather than cognition3m

"The data is the code."5m

AI and discrimination5m

Values Module: Activities and resources3m

3 ejercicios de práctica

Topic 85m

Topic 95m

Values Module10m

Semana

Semana 6

1 hora para completar

Conclusion

1 hora para completar

1 video (Total 1 minutos), 2 lecturas

Reseñas

4.8

60 reseña

5 stars
80,20 %
4 stars
15,73 %
3 stars
3,55 %
1 star
0,50 %

Principales reseñas sobre ARTIFICIAL INTELLIGENCE (AI) EDUCATION FOR TEACHERS

por BH8 de dic. de 2020

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

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

por MW16 de oct. de 2022

Terrific course with solid foundational AI knowledge and useful information to apply in the classroom.

Ver todas las reseñas

Preguntas Frecuentes

¿Cuándo podré acceder a las lecciones y tareas?
El acceso a las clases y las asignaciones depende del tipo de inscripción que tengas. Si tomas un curso en modo de oyente, verás la mayoría de los materiales del curso en forma gratuita. Para acceder a asignaciones calificadas y obtener un certificado, deberás comprar la experiencia de Certificado, ya sea durante o después de participar como oyente. Si no ves la opción de oyente:
es posible que el curso no ofrezca la opción de participar como oyente. En cambio, puedes intentar con una Prueba gratis o postularte para recibir ayuda económica.
Es posible que el curso ofrezca la opción 'Curso completo, sin certificado'. Esta opción te permite ver todos los materiales del curso, enviar las evaluaciones requeridas y obtener una calificación final. También significa que no podrás comprar una experiencia de Certificado.
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

Acerca de este Curso

Qué aprenderás

Habilidades que obtendrás