4.7
estrellas
218 calificaciones

98 %

Dr Anne Forbes +1 instructores más

7003 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

28.113 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

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100 % en línea

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Laboratorios de Coursera

Incluye proyectos de aprendizaje prácticos.

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Nivel principiante

Aprox. 16 horas para completar

Inglés (English)

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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.

Laboratorios de Coursera

Incluye proyectos de aprendizaje prácticos.

Obtén más información sobre los laboratorios de Coursera

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

4,62/5 (131 calificaciones)

Dr Anne Forbes

Senior Lecturer, STEM Education

Macquarie School of Education

7003 alumnos

1 curso

Dr Markus Powling

Senior Research Officer

Macquarie School of Education

7003 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%(1,682 calificaciones)

Semana1

Semana 1

2 horas para completar

Introduction

2 horas para completar

2 videos (Total 5 minutos), 8 lecturas

Semana2

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 module3mWhat is intelligence? (continued)5mStrong AI10mThe development of narrow AI7mMachine learning2mMachine Learning for Kids2mDefinitions of AI3mIntelligence augmentation1mRelationships between AI and related areas5mThe Turing Test5mDevelopments in computer hardware2mPodcast with Professor Deborah Richards42mJeopardy6mAutonomous cars7mTypes of AI5mPodcast with Dr Bhavna Antony22mKnowledge Module: Activities and resources3m

4 ejercicios de práctica

Topic 110mTopic 25mTopic 35mKnowledge Module10m

Semana3

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 module5mHistory of design thinking10mAn important principle3mWhat is design thinking?5mDesign thinking defined5mModels of design thinking10mApplying design thinking in an educational context2mPodcast with Steve Nouri27mDeveloping thinking skills5mUnhelpful stereotypes of critical and creative thinking2mDefining critical and creative thinking5mCreativity in STEM10mCreativity in STEM (continued)5mArt as a catalyst for critical thinking5mIntroducing convergent and divergent thinking2mStrategies for fostering thinking skills5mFour elements of critical and creative thinking in the Australian Curriculum5mACARA's critical and creative thinking model10mCreative AI10mPodcast with Professor Emily Cross24mSkills Module — Part A: Activities and resources3m

3 ejercicios de práctica

Topic 45mTopic 510mSkills Module — Part A14m

Semana4

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 module5mWhat is data fluency?10mWhat is data?5mData in education5mDefinitions from the Mathematics Syllabus glossary5mGarbage in, garbage out (GIGO)5mAccuracy of decision-making5mExamining a data set7mDecision-making: Dog or cat?5mPhotographic data sets of dogs and cats5mTraining a machine learning model in MLFK15mData within a machine learning project5mPodcast with Dr Cormac Purcell28mComputational thinking influencers5mComputational thinking in the Science and Technology syllabus3mComputational thinking concepts5mUnplugged activities10mDevice-based activities20mPodcast with Dr Rolf Schwitter28mSkills Module - Part B: Activities and resources3m

4 ejercicios de práctica

Data and decision-making in AI applications10mTopic 65mTopic 710mSkills Module - Part B15m

Semana5

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 module5mClosed-circuit television (CCTV) in schools5mPersonality-quiz app data5mPilots and AI10mPodcast with Kaaren Koomen30mCalling the shot5mBias in more consequential decisions5mCognitive biases5mPrejudice rather than cognition3m"The data is the code."5mAI and discrimination5mValues Module: Activities and resources3m

3 ejercicios de práctica

Topic 85mTopic 95mValues Module10m

Semana6

Semana 6

1 hora para completar

Conclusion

1 hora para completar

1 video (Total 1 minutos), 2 lecturas

Reseñas

4.7

70 reseña

5 stars
80 %
4 stars
15,90 %
3 stars
3,63 %
1 star
0,45 %

Principales reseñas sobre ARTIFICIAL INTELLIGENCE (AI) EDUCATION FOR TEACHERS

por AM16 de feb. de 2023

The course is great and it broadened my horizons. However, I wish a certificate or a badge was provided.

por FA4 de may. de 2022

Excellent indeed! I guess every teacher should take this course! It does not only educate about AI, but its really good to get a sense of how AI subject can be taught.

por MW16 de oct. de 2022

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

por GW8 de may. de 2022

Some excellent sources of information. It would be nice if they offered a certificate of completion.

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