Schlagwort: online training

Free online course on understanding AI for educators
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To empower every educator to confidently bring AI into their classroom, we’ve created a new online training course called ‘Understanding AI for educators’ in collaboration with Google DeepMind. By taking this course, you will gain a practical understanding of the crossover between AI tools and education. The course includes a conceptual look at what AI is, how AI systems are built, different approaches to problem-solving with AI, and how to use current AI tools effectively and ethically.

In this post, I will share our approach to designing the course and some of the key considerations behind it — all of which you can apply today to teach your learners about AI systems.

Design decisions: Nurturing knowledge and confidence

We know educators have different levels of confidence with AI tools — we designed this course to help create a level playing field. Our goal is to uplift every educator, regardless of their prior experience, to a point where they feel comfortable discussing AI in the classroom.

AI literacy is key to understanding the implications and opportunities of AI in education. The course provides educators with a solid conceptual foundation, enabling them to ask the right questions and form their own perspectives.

As with all our AI learning materials that are part of Experience AI, we’ve used specific design principles for the course:
- Choosing language carefully: We never anthropomorphise AI systems, replacing phrases like “The model understands” with “The model analyses”. We do this to make it clear that AI is just a computer system, not a sentient being with thoughts or feelings.
- Accurate terminology: We avoid using AI as a singular noun, opting instead for the more accurate ‘AI tool’ when talking about applications or ‘AI system’ when talking about underlying component parts.
- Ethics: The social and ethical impacts of AI are not an afterthought but highlighted throughout the learning materials.
Three main takeaways

The course offers three main takeaways any educator can apply to their teaching about AI systems.

1. Communicating effectively about AI systems

Deciding the level of detail to use when talking about AI systems can be difficult — especially if you’re not very confident about the topic. The SEAME framework offers a solution by breaking down AI into 4 levels: social and ethical, application, model, and engine. Educators can focus on the level most relevant to their lessons and also use the framework as a useful structure for classroom discussions.

You might discuss the impact a particular AI system is having on society, without the need to explain to your learners how the model itself has been trained or tested. Equally, you might focus on a specific machine learning model to look at where the data used to create it came from and consider the effect the data source has on the output.

2. Problem-solving approaches: Predictive vs. generative AI

AI applications can be broadly separated into two categories: predictive and generative. These two types of AI model represent two vastly different approaches to problem-solving.

People create predictive AI models to make predictions about the future. For example, you might create a model to make weather forecasts based on previously recorded weather data, or to recommend new movies to you based on your previous viewing history. In developing predictive AI models, the problem is defined first — then a specific dataset is assembled to help solve it. Therefore, each predictive AI model usually is only useful for a small number of applications.

Rick Payne and team / Better Images of AI / Ai is… Banner / CC-BY 4.0

Generative AI models are used to generate media (such as text, code, images, or audio). The possible applications of these models are much more varied because people can use media in many different kinds of ways. You might say that the outputs of generative AI models could be used to solve — or at least to partially solve — any number of problems, without these problems needing to be defined before the model is created.

3. Using generative AI tools: The OCEAN process

Generative AI systems rely on user prompts to generate outputs. The OCEAN process, outlined in the course, offers a simple yet powerful framework for prompting AI tools like Gemini, Stable Diffusion or ChatGPT.

Yasmine Boudiaf & LOTI / Better Images of AI / Data Processing / CC-BY 4.0

The first three steps of the process help you write better prompts that will result in an output that is as close as possible to what you are looking for, while the last two steps outline how to improve the output:
1. Objective: Clearly state what you want the model to generate
2. Context: Provide necessary background information
3. Examples: Offer specific examples to fine-tune the model’s output
4. Assess: Evaluate the output
5. Negotiate: Refine the prompt to correct any errors in the output
The final step in using any generative AI tool should be to closely review or edit the output yourself. These tools will very quickly get you started but you’ll always have to rely on your own human effort to ensure the quality of your work.

Helping educators to be critical users

We believe the knowledge and skills our ‘Understanding AI for educators’ course teaches will help any educator determine the right AI tools and concepts to bring into their classroom, regardless of their specialisation. Here’s what one course participant had to say:

“From my inexperienced viewpoint, I kind of viewed AI as a cheat code. I believed that AI in the classroom could possibly be a real detriment to students and eliminate critical thinking skills.

After learning more about AI [on the course] and getting some hands-on experience with it, my viewpoint has certainly taken a 180-degree turn. AI definitely belongs in schools and in the workplace. It will take time to properly integrate it and know how to ethically use it. Our role as educators is to stay ahead of this trend as opposed to denying AI’s benefits and falling behind.” – ‘Understanding AI for educators’ course participant

All our Experience AI resources — including this online course and the teaching materials — are designed to foster a generation of AI-literate educators who can confidently and ethically guide their students in navigating the world of AI.

You can sign up to the course for free here:

A version of this article also appears in Hello World issue 25, which will be published on Monday 23 September and will focus on all things generative AI and education.

Website: LINK
19/09/2024
Learn to program in Python with our online courses
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If you’re new to teaching programming or looking to build or refresh your programming knowledge, we have a free resource that is perfect for you. Our ‘Learn to program in Python’ online course pathway is for educators who want to develop their understanding of the text-based language Python. Each course is packed with information and activities to help you apply what you learn in your classroom teaching.

Why learn to program in Python?

Compared to many other programming languages, writing a program in Python is closer to writing in English, which makes starting to program much easier (if you have some proficieny in English). Python is also a general-purpose programming language, so once you’ve learned the basics, you can use Python for lots of different programming activities.

That’s why Python is a perfect choice for learning to program, and why many of our educational resources involve Python. Our seven online Python courses cover aspects from taking your first steps into programming, to writing a program to control an electronic circuit, to learning about object-oriented programming.

With time and practice, you will be able to use Python programming to create unique solutions to problems, build helpful tools, and make things that are important to you.

How does the Python course pathway work?

The courses in the pathway have been written by our educators and include advice and activities to help you teach programming in your classroom. You can reuse the course activities to explain programming concepts to your learners and get them to write programs themselves. Because you will have first-hand experience of the activities, you’ll be able to anticipate your learners’ difficulties and adapt your lessons to suit them.

All the courses are designed to take three or four weeks to complete, based on you spending two hours a week on participating. You can have free time-limited access to each course for the length of time it’s designed to take to complete. For example, if it’s a four-week course, like ‘Programming 101’, you can sign up for free to get four weeks of access.

The seven courses in the Python path can be completed in any order you like, and you can choose the courses that match your interests and needs.

Each course involves activities that help you create a programming project using the concepts that you’re learning about. These activities are designed to be a fun and interactive way to reinforce what you’ve learned and can also be used with your learners in the classroom.

Course spotlight: Programming 101

If programming is completely new to you, our ‘Programming 101’ course is the best place to start. In ‘Programming 101’, we use this definition of programming to start with the idea that programming is about you telling a computer what to do:

“Programming is how you get computers to solve problems.”

We see programming as a chance to think creatively about a problem and about all the different ways it could be solved. While you might be unfamiliar with terms like programming, algorithms, or selection, the ‘Programming 101’ course demonstrates how they touch on things that many of us know from other areas of our lives.

On the course, you will:
- Learn about basic programming concepts such as sequencing and repetition
- Start to write your own programs
- Discover how to interpret error messages to find and fix mistakes in your programs
What will you make in the courses?

Through building an understanding of programming, you will see how you can write your own programs to make games, quizzes, physical computing projects, and more. Here’s look at some of the things you could make in three of the seven courses:
- Programming 101: Write your first program in Python to make a personal assistant bot. You’ll discover how to make the output of your program respond to the user’s input.
You’ll write a program to create personal assistant bot in the ‘Programming 101’ course for beginners.
- Programming with GUIs: Build a game where players compare two sets of emoji to find the emoji that matches. To make this game, you’ll use what you learn in the course to design the layout of a graphic user interface (GUI) and make sure only one emoji appears twice.
You’ll make an interactive graphic game in the ‘Programming with GUIs’ course.
- Object-oriented Programming: Create a text-based adventure game with a character on a quest through different rooms! You’ll discover how to write a program that reacts to user input, and how to write your own code to create more challenges within the game based on your ideas.
So check out our courses and start gaining Python programming skills today!

Python programming resources for young people

If you want to help your learners develop their understanding of programming in Python, you’ll be interested in these free resources we’ve created for young people:

Introduction to Python: Our guided project path for learners who are new to text-based programming. We have created these projects with young people around the age of 9 to 13 in mind. Each project takes one hour to complete, and learners can make their own fun programs while learning about Python.

More Python: Our guided project path for learners who want to move beyond the ‘Intro to Python’ path to write programs that contain charts, artwork, and more. We’ve written these projects for young people around the age of 10 to 13.

Isaac Computer Science: This learning platform we’ve created for GCSE and A level students (age 14 to 18) uses Python and other text-based languages to teach the programming concepts within England’s computer science curriculum.

Website: LINK
27/10/2022
Learn how to teach computing to 5- to 11-year-olds
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Introducing children to computing concepts from a young age can help develop their interest and attachment to the subject. While parents might wonder what the best tools and resources are for this, primary and K1–5 educators also need to know what approaches work with their learners.

‘Teaching computing to 5- to 11-year-olds’ is one of the new course pathways we’ve designed to help educators spark young people’s interest in the subject. Our online courses are made by a team of writers, videographers, illustrators, animators, copy editors, presenters, and subject matter experts. They work together over months of production to create high-quality educational video content for participants all over the world.

This course pathway offers advice and practical activities to:
- Support young people to create and solve problems with technology
- Promote the relevance of computing in young people’s lives
- Create inclusive learning experiences
Our new course pathway for primary educators

The nine courses included give you a comprehensive understanding of teaching computing to younger learners (5- to 11-year-olds). All the courses have been written by a team of subject matter experts, education professionals, and teachers. Some of the courses cover a specific topic, such as programming or physical computing, while others help educators reflect on their teaching practice.

With Scratch, young people can learn how to program their own games, animations, stories, and more!

All of the courses include a range of ideas to use in your own programming sessions. The activities will help you to introduce concepts like computer networks and the internet to young learners in a relatable way. There are also activities to help learners progress within a topic, such as moving from a block-based programming language like Scratch to a text-based one like Python.

What will I gain from the courses?

The courses are an opportunity to:
- Discover new computing activities
- Get support from our team of course facilitators
- Meet other educators from around the world!
Do I need any previous experience with computing?

These courses will give you everything you need to teach computing to young learners. No computing experience is required.

There is also no specific order in which you need to complete the courses. We want educators to complete the courses in an order that makes sense to them.

If you are new to teaching computing, ‘Get started teaching computing in primary schools’ is the place to start. The four-week course will encourage you to think about why it’s important for your learners to build their understanding around computing. You’ll discover how to support learners to become digital makers who can use technology to solve problems. Everyone who registers on the course will have access to an action plan to help implement what they have learnt into their teaching practice.

Who is the pathway for?

These are free courses for anyone, anywhere, who is interested in teaching young people about computing.

How much time will I spend on each course?

All of the courses take between two and four weeks to complete, based on participants spending two hours a week on a course. You will have free access to each course for the length of time it takes to complete it. For example, if it’s a two week course, like ‘Creating an inclusive classroom: approaches to supporting learners with SEND in computing’, you will have two weeks of free access to the course.

Discover what you could learn with ‘Teaching computing to 5- to 11-year-olds’ today.

Website: LINK
21/07/2022
How do we create engaging online courses for computing educators?
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With our online courses programme, launched in 2017, we made it our mission to provide computing educators with the best possible free training we can design. Five years on, here are some of the key stats about the courses’ impact:
- We’ve produced and launched 35 free online courses
- We’ve created over 650 educational course videos
- More than 234,000 learners have participated in the courses
- Over 19,000 teachers in England have participated through the National Centre for Computing Education
Designed and created in-house, each and every course is a real cross-team effort that involves a lot of careful planning and a number of different stages. Here we’re taking you behind the scenes to show you how we make our courses, introduce you to the people involved, and explain how we ensure our courses are of high quality.

But first, here’s some quick answers to questions you may have:

Our free online courses — key questions answered

What are the courses?

They are online training courses to help you learn about computing and computing education. The courses are hosted on the FutureLearn website. They are asynchronous, meaning you can take them whenever and wherever you want.

Are the courses free?

Yes! All our courses are free when you sign up for time-limited access, which gives you full access to the learning materials for the complete course duration. FutureLearn also has a paid-for ‘unlimited’ option, where you receive a certificate for each course you take.

Are the courses right for me?

They are aimed at educators, particularly classroom teachers, but they are also beneficial to anyone who wants to learn more about computing.

How long does a course take?

To help you structure your learning, our courses are divided into three or four weeks, but it’s up to you how quickly you work through them. You can complete a course in one afternoon, or spread your learning out and study for 30 minutes a day over three or four weeks. This flexibility makes it easy to fit a course into a busy schedule.

How can I access the courses?
- Visit raspberrypi.org/courses to browse and select the course you want to sign up to.
- If you’re a teacher in England, visit the website of the National Centre for Computing Education, where our courses are part of the certificate programmes for primary and secondary teachers.
What goes into creating an engaging online course?

Creating our online courses is a team effort involving writers, videographers, illustrators, animators, copy editors, presenters, and subject matter experts working together over months of production. The entire process is guided by our online course producers, Martin O’Hanlon, Ross Exton, and Michael Conterio, who know a thing or two about creating high-quality learning experiences. We spoke to them about what it takes to create an engaging course.

The educators at the Raspberry Pi Foundation. On screen: Ross Exton. Left to right in person: Michael Conterio, Martin O’Hanlon.

Hi guys. You’ve created courses on a wide range of computing subjects. How do you decide what the focus of your next course is going to be?

Martin: We are driven by the needs of teachers. “What are teachers telling us they want to learn? Or what are the gaps in the curriculum where our learners need additional support?”

For example, our Introduction to Machine Learning and AI course was introduced as a result of feedback from teachers that while the subject wasn’t necessarily on the curriculum, they felt underprepared to answer questions from students or provide context when teaching other topics.

How do you then go about planning it out and turning that plan into an actual course structure?

Michael: Working with the course authors, we’ll generally agree on the big topics we want to cover or questions that we want to answer. We’ll often also have individual elements that we want to fit in somewhere, for example an activity involving making a learning resource more accessible. From there it’s a case of taking the bigger topics and working out how we can split them up into smaller chunks, until we get down to individual learning activities.

Ross: But then we’ll end up shuffling things around until we are happy — not only that we’ve got everything that we wanted to cover, but that the overall structure makes sense. We often talk about the ‘narrative’ of a course.

What is your approach to pedagogy in online courses?

Martin: At the Raspberry Pi Foundation we have a set of 12 pedagogy principles that we use through our learning resources (including online courses). We take particular care to lead with concepts, model processes, and activities; add variety for our learners; and include opportunities to create projects.

Learn more about the 12 principles in the free special edition of Hello World, The Big book of Computing Pedagogy, downloadable in PDF format.

Can you tell us about some of the pitfalls with course writing that you’ve learned along the way?

Michael: Because the learner is not present, you have to be incredibly precise with instructions as you can’t help learners directly as they are working through the content. And even if you think something is obvious, it’s easy for learners to accidentally miss an instruction, so it’s generally good to try to keep them together rather than spread out.

Martin: Luckily, it is often possible to tell from comments that learners have shared when something is hard to understand so we can improve future runs of the course.

How important is the media you add to the courses, like animations and videos? What is the process for creating this type of content?

Ross: It’s essential! It brings the abstract concepts of computing to life. The media in our courses helps our learners to visualise the ideas we’re presenting in ways that are engaging and relatable.

As we’re writing the course, we capture every creative idea that will best support our learners in gaining the knowledge and skills that they need. From ‘how-to’ guides with live coding, to physical computing demonstrations, or animations of robots, we think carefully about each image and video and how we’re not just telling the learner something, but showing them.

We then work with a brilliantly talented team of illustrators, animators, videographers, and presenters to create all of that media.

And… action! We film all the video content for courses in-house, working closely with the educators who present the content.

There are lots of opportunities for social learning within the courses. Can you explain more about its importance and how we integrate it?

Ross: Social learning is a really important part of our online courses experience. Over the past year we have made significant investment to make it easier for participants to share programs they’ve written as part of their learning, for example, and for facilitators to provide support.

Martin: It is important people have the opportunity to share their learning with others. This is something often lost when taking an online course and it can feel like you are ‘on your own’.

In the Raspberry Pi Foundation’s online courses learners are given the opportunity to ask questions, share what they have created, and provide their own insight in the comments. Educators from the Foundation facilitate the courses — responding to comments and providing advice is a big part of what they do.

Thank you Martin, Michael, and Ross.

What new online course would you like us to create? Tell us in the comments below.

The post How do we create engaging online courses for computing educators? appeared first on Raspberry Pi.

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28/06/2022
Get an easy start to coding with our new free online course

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Are you curious about coding and computer programming but don’t know how to begin? Do you want to help your children at home, or learners in your school, with their digital skills, but you’re not very confident yet? Then our new, free, and on-demand online course Introduction to Programming with Scratch course is a fun, creative, and colourful starting point for you.

Being able to code can help you do lots of things — from expressing yourself to helping others practice their skills, and from highlighting real-world issues to controlling a robot. Whether you want to get a taste of what coding is about, or you want to learn so that you can support young people, our Introduction to Programming with Scratch course is the perfect place to start if you’ve never tried any coding before.

Your course presenters, Vasu and Mark.

On this on-demand course, Mark and Vasu from our team will help you take your very first steps on your programming journey.

You can code — we’ll show you how

On the course, you’ll use the programming language Scratch, a beginner-friendly, visual programming language particularly suitable for creating animations and games. All you need is our course and a computer or tablet with a web browser and internet connection that can access the online Scratch editor.

You can code in Scratch without having to memorise and type in commands. Instead, by snapping blocks together, you’ll take control of ‘sprites’, which are characters and objects on the screen that you can move around with the code you create.

This is how you build Scratch programs.

As well as learning what you can do with Scratch, you’ll be learning basic programming concepts that are the same for all programming languages. You’ll see how the order of commands is important (sequencing), you’ll make the computer repeat actions (repetition), and you’ll write programs that do different things in different circumstances, for example responding to your user’s actions (selection). Later on, you’ll also make your own reusable code blocks (abstraction).

You can create your own programs and share them

Throughout the course you’ll learn to make your own programs step by step. In the final week, Mark and Vasu will show you how you can create musical projects and interact with your program using a webcam.

By the end of the course, you will create a program to control a Scratch character using your live webcam video.

Vasu and Mark will encourage you to share your programs and join the Scratch online community. You will discover how you can explore other people’s Scratch programs for inspiration and support, and how to build on the code they’ve created.

Thousands of people share their projects in the Scratch online community — you could be one of them.

Sign up for the course now!

The course starts for the first time on Monday 14 February, but it is available on demand, so you can join it at any time. You’ll get four weeks’ access to the course no matter when you sign up.

For the first four weeks that the course is available, and every three months after that, people from our team will join in to support you and help answer your questions in the comments sections.

If you’re a teacher in England, get free extended access by signing up through Teach Computing here.

And if you want to do more Scratch coding…

You can find more free resources here! These are the newest Scratch pathways on our project site, which you can also share with the young people in your life:

Website: LINK

09/02/2022
Learn the fundamentals of AI and machine learning with our free online course

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Join our free online course Introduction to Machine Learning and AI to discover the fundamentals of machine learning and learn to train your own machine learning models using free online tools.

Although artificial intelligence (AI) was once the province of science fiction, these days you’re very likely to hear the term in relation to new technologies, whether that’s facial recognition, medical diagnostic tools, or self-driving cars, which use AI systems to make decisions or predictions.

By the end of this free, online, self-paced course, you will have an appreciation for what goes into machine learning and artificial intelligence systems — and why you should think carefully about what comes out.

Machine learning — a brief overview

You’ll also often hear about AI systems that use machine learning (ML). Very simply, we can say that programs created using ML are ‘trained’ on large collections of data to ‘learn’ to produce more accurate outputs over time. One rather funny application you might have heard of is the ‘muffin or chihuahua?’ image recognition task.

More precisely, we would say that a ML algorithm builds a model, based on large collections of data (the training data), without being explicitly programmed to do so. The model is ‘finished’ when it makes predictions or decisions with an acceptable level of accuracy. (For example, it rarely mistakes a muffin for a chihuahua in a photo.) It is then considered to be able to make predictions or decisions using new data in the real world.

It’s important to understand AI and ML — especially for educators

But how does all this actually work? If you don’t know, it’s hard to judge what the impacts of these technologies might be, and how we can be sure they benefit everyone — an important discussion that needs to involve people from across all of society. Not knowing can also be a barrier to using AI, whether that’s for a hobby, as part of your job, or to help your community solve a problem.

For teachers and educators it’s particularly important to have a good foundational knowledge of AI and ML, as they need to teach their learners what the young people need to know about these technologies and how they impact their lives. (We’ve also got a free seminar series about teaching these topics.)

To help you understand the fundamentals of AI and ML, we’ve put together a free online course: Introduction to Machine Learning and AI. Over four weeks in two hours per week, learning at your own pace, you’ll find out how machine learning can be used to solve problems, without going too deeply into the mathematical details. You’ll also get to grips with the different ways that machines ‘learn’, and you will try out online tools such as Machine Learning for Kids and Teachable Machine to design and train your own machine learning programs.

What types of problems and tasks are AI systems used for?

As well as finding out how these AI systems work, you’ll look at the different types of tasks that they can help us address. One of these is classification — working out which group (or groups) something fits in, such as distinguishing between positive and negative product reviews, identifying an animal (or a muffin) in an image, or spotting potential medical problems in patient data.

You’ll also learn about other types of tasks ML programs are used for, such as regression (predicting a numerical value from a continuous range) and knowledge organisation (spotting links between different pieces of data or clusters of similar data). Towards the end of the course you’ll dive into one of the hottest topics in AI today: neural networks, which are ML models whose design is inspired by networks of brain cells (neurons).

Before an ML program can be trained, you need to collect data to train it with. During the self-paced course you’ll see how tools from statistics and data science are important for ML — but also how ethical issues can arise both when data is collected and when the outputs of an ML program are used.

By the end of the course, you will have an appreciation for what goes into machine learning and artificial intelligence systems — and why you should think carefully about what comes out.

Sign up today to take the course for free

The Introduction to Machine Learning and AI course is open for you to sign up to now. Sign-ups will pause after 12 December. Once you sign up, you’ll have access for six weeks. During this time you’ll be able to interact with your fellow learners, and before 25 October, you’ll also benefit from the support of our expert facilitators. So what are you waiting for?

Share your views as part of our research

As part of our research on computing education, we would like to find out about educators’ views on machine learning. Before you start the course, we will ask you to complete a short survey. As a thank you for helping us with our research, you will be offered the chance to take part in a prize draw for a £50 book token!

Learn more about AI, its impacts, and teaching learners about them

To develop your computing knowledge and skills, you might also want to:

If you are a teacher in England, you can develop your teaching skills through the National Centre for Computing Education, which will give you free upgrades for our courses (including Introduction to Machine Learning and AI) so you’ll receive certificates and unlimited access.

Website: LINK

18/10/2021
Learn the fundamentals of AI and machine learning with our free online course

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Join our free online course Introduction to Machine Learning and AI to discover the fundamentals of machine learning and learn to train your own machine learning models using free online tools.

Although artificial intelligence (AI) was once the province of science fiction, these days you’re very likely to hear the term in relation to new technologies, whether that’s facial recognition, medical diagnostic tools, or self-driving cars, which use AI systems to make decisions or predictions.

By the end of this free, online, self-paced course, you will have an appreciation for what goes into machine learning and artificial intelligence systems — and why you should think carefully about what comes out.

Machine learning — a brief overview

You’ll also often hear about AI systems that use machine learning (ML). Very simply, we can say that programs created using ML are ‘trained’ on large collections of data to ‘learn’ to produce more accurate outputs over time. One rather funny application you might have heard of is the ‘muffin or chihuahua?’ image recognition task.

More precisely, we would say that a ML algorithm builds a model, based on large collections of data (the training data), without being explicitly programmed to do so. The model is ‘finished’ when it makes predictions or decisions with an acceptable level of accuracy. (For example, it rarely mistakes a muffin for a chihuahua in a photo.) It is then considered to be able to make predictions or decisions using new data in the real world.

It’s important to understand AI and ML — especially for educators

But how does all this actually work? If you don’t know, it’s hard to judge what the impacts of these technologies might be, and how we can be sure they benefit everyone — an important discussion that needs to involve people from across all of society. Not knowing can also be a barrier to using AI, whether that’s for a hobby, as part of your job, or to help your community solve a problem.

For teachers and educators it’s particularly important to have a good foundational knowledge of AI and ML, as they need to teach their learners what the young people need to know about these technologies and how they impact their lives. (We’ve also got a free seminar series about teaching these topics.)

To help you understand the fundamentals of AI and ML, we’ve put together a free online course: Introduction to Machine Learning and AI. Over four weeks in two hours per week, learning at your own pace, you’ll find out how machine learning can be used to solve problems, without going too deeply into the mathematical details. You’ll also get to grips with the different ways that machines ‘learn’, and you will try out online tools such as Machine Learning for Kids and Teachable Machine to design and train your own machine learning programs.

What types of problems and tasks are AI systems used for?

As well as finding out how these AI systems work, you’ll look at the different types of tasks that they can help us address. One of these is classification — working out which group (or groups) something fits in, such as distinguishing between positive and negative product reviews, identifying an animal (or a muffin) in an image, or spotting potential medical problems in patient data.

You’ll also learn about other types of tasks ML programs are used for, such as regression (predicting a numerical value from a continuous range) and knowledge organisation (spotting links between different pieces of data or clusters of similar data). Towards the end of the course you’ll dive into one of the hottest topics in AI today: neural networks, which are ML models whose design is inspired by networks of brain cells (neurons).

Before an ML program can be trained, you need to collect data to train it with. During the self-paced course you’ll see how tools from statistics and data science are important for ML — but also how ethical issues can arise both when data is collected and when the outputs of an ML program are used.

By the end of the course, you will have an appreciation for what goes into machine learning and artificial intelligence systems — and why you should think carefully about what comes out.

Sign up today to take the course for free

The Introduction to Machine Learning and AI course is open for you to sign up to now. Sign-ups will pause after 12 December. Once you sign up, you’ll have access for six weeks. During this time you’ll be able to interact with your fellow learners, and before 25 October, you’ll also benefit from the support of our expert facilitators. So what are you waiting for?

Share your views as part of our research

As part of our research on computing education, we would like to find out about educators’ views on machine learning. Before you start the course, we will ask you to complete a short survey. As a thank you for helping us with our research, you will be offered the chance to take part in a prize draw for a £50 book token!

Learn more about AI, its impacts, and teaching learners about them

To develop your computing knowledge and skills, you might also want to:

If you are a teacher in England, you can develop your teaching skills through the National Centre for Computing Education, which will give you free upgrades for our courses (including Introduction to Machine Learning and AI) so you’ll receive certificates and unlimited access.

Website: LINK

18/10/2021
How teachers train in Computing with our free online courses

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Since 2017 we’ve been training Computing educators in England and around the world through our suite of free online courses on FutureLearn. Thanks to support from Google and the National Centre for Computing Education (NCCE), all of these courses are free for anyone to take, whether you are a teacher or not!

We’re excited that Computer Science educators at all stages in their computing journey have embraced our courses — from teachers just moving into the field to experienced educators looking for a refresher so that they can better support their colleagues.

Hear from two teachers about their experience of training with our courses and how they are benefitting!

Moving from Languages to IT to Computing

Rebecca Connell started out as a Modern Foreign Languages teacher, but now she is Head of Computing at The Cowplain School, a 11–16 secondary school in Hampshire.

Computing teacher Rebecca finds our courses “really useful in building confidence and taking [her] skills further”.

Although she had plenty of experience with Microsoft Office and was happy teaching IT, at first she was daunted by the technical nature of Computing:

“The biggest challenge for me has been the move away from an IT to a Computing curriculum. To say this has been a steep learning curve is an understatement!”

However, Rebecca has worked with our courses to improve her coding knowledge, especially in Python:

“Initially, I undertook some one-day programming courses in Python. Recently, I have found the Raspberry Pi courses to be really useful in building confidence and taking my skills further. So far, I have completed Programming 101 — great for revision and teaching ideas — and am now into Programming 102.”

GCSE Computing is more than just programming, and our courses are helping Rebecca develop the rest of her Computing knowledge too:

“I am now taking some online Raspberry Pi courses on computer systems and networks to firm up my knowledge — my greatest fear is saying something that’s not strictly accurate! These courses have some good ideas to help explain complex concepts to students.”

She also highly rates the new free Teach Computing Curriculum resources we have developed for the NCCE:

“I really like the new resources and supporting materials from Raspberry Pi — these have really helped me to look again at our curriculum. They are easy to follow and include everything you need to take students forward, including lesson plans.”

And Rebecca’s not the only one in her department who is benefitting from our courses and resources:

“Our department is supported by an excellent PE teacher who delivers lessons in Years 7, 8, and 9. She has enjoyed completing some of the Raspberry Pi courses to help her to deliver the new curriculum and is also enjoying her learning journey.”

Refreshing and sharing your knowledge

Julie Price, a CAS Master Teacher and NCCE Computer Science Champion, has been “engaging with the NCCE’s Computer Science Accelerator programme, [to] be in a better position to appreciate and help to resolve any issues raised by fellow participants.”

Computer science teacher Julie Price says she is “becoming addicted” to our online courses!

“I have encountered new learning for myself and also expressions of very familiar content which I have found to be seriously impressive and, in some cases, just amazing. I must say that I am becoming addicted to the Raspberry Pi Foundation’s online courses!”

She’s been appreciating the open nature of the courses, as we make all of the materials free to use under the Open Government Licence:

“Already I have made very good use of a wide range of the videos, animations, images, and ideas from the Foundation’s courses.”

Julie particularly recommends the Programming Pedagogy in Secondary Schools: Inspiring Computing Teaching course, describing it as “a ‘must’ for anyone wishing to strengthen their key stage 3 programming curriculum.”

Join in and train with us

Rebecca and Julie are just 2 of more than 140,000 active participants we have had on our online courses so far!

With 29 courses to choose from (and more on the way!), from Introduction to Web Development to Robotics with Raspberry Pi, we have something for everyone — whether you’re a complete beginner or an experienced computer science teacher. All of our courses are free to take, so find one that inspires you, and let us support you on your computing journey, along with Google and the NCCE.

If you’re a teacher in England, you are eligible for free course certification from FutureLearn via the NCCE.

Website: LINK

08/10/2020
Your new free online training courses for the autumn term

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Over the autumn term, we’ll be launching three brand-new, free online courses on the FutureLearn platform. Wherever you are in the world, you can learn with us for free!

The course presenters are Pi Towers residents Mark, Janina, and Eirini

Design and Prototype Embedded Computer Systems

The first new course is Design and Prototype Embedded Computer Systems, which will start on 28 October. In this course, you will discover the product design life cycle as you design your own embedded system!

You’ll investigate how the purpose of the system affects the design of the system, from choosing its components to the final product, and you’ll find out more about the design of an algorithm. You will also explore how embedded systems are used in the world around us. Book your place today!

Programming 103: Saving and Structuring Data

What else would you expect us to call the sequel to Programming 101 and Programming 102? That’s right — we’ve made Programming 103: Saving and Structuring Data! The course will begin on 4 November, and you can reserve your place now.

Programming 103 explores how to use data across multiple runs of your program. You’ll learn how to save text and binary files, and how structuring data is necessary for programs to “understand” the data that they load. You’ll look at common types of structured files such as CSV and JSON files, as well as how you can connect to a SQL database to use it in your Python programs.

Introduction to Encryption and Cryptography

The third course, Introduction to Encryption and Cryptography, is currently in development, and therefore coming soon. In this course, you’ll learn what encryption is and how it was used in the past, and you’ll use the Caesar and Vigenère ciphers.

The Caesar cipher is a type of substitution cipher

You’ll also look at modern encryption and investigate both symmetric and asymmetric encryption schemes. The course also shows you the future of encryption, and it includes several practical encryption activities, which can be used in the classroom too.

National Centre for Computing Education

If you’re a secondary school teacher in England, note that all of the above courses count towards your Computer Science Accelerator Programme certificate.

The very first group of teachers who earned Computer Science Accelerator Programme certificates: they got to celebrate their graduation at Google HQ in London.

What’s been your favourite online course this year? Tell us about it in the comments.

Website: LINK

09/10/2019
Your Back-to-School Bootcamp with our free online training

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Are you ready FEEL THE BURN…of your heating laptop? And MAX THOSE REPS…using forever loops? Then get your programming muscles into the best shape possible with our free online training courses.

Pump up your programming skills for free

Today we are excited to announce our new online training course Programming with GUIs — now open for sign-ups on FutureLearn. To celebrate, we’ve also curated a set of courses as your personal Back-to-school Bootcamp. Sign up now to start training from Monday 29 July and throughout August!

Your Back-to-school Bootcamp has something for beginner, intermediate, and advanced learners, and all the courses are free, thanks to support from Google.

Also keep in mind that all the courses count towards becoming certified through the National Centre for Computing Education.

Couch to 5k…lines of code

If you’re just beginning to learn about coding, the perfect place to start is Programming 101: An Introduction to Python for Educators. You’ll first get to grips with basic programming concepts by learning about the basics of Python syntax and how to interpret error messages. Then you’ll use your new coding skills to create a chatbot that asks and answers questions!

For Primary teachers, our course Scratch to Python: Moving from Block- to Text-based Programming is ideal. Take this course if you’ve been using Scratch and are wondering how to introduce Python to your older students.

If you’ve been programming for a while, sign up for our brand-new course Programming with GUIs — an intermediate-level course that shows you how to build your own graphical user interface (GUI) in Python. You will learn how to incorporate interactivity in your programs, discover different types of GUI features, and build your confidence to design more complex GUI-based apps in the future.

Or maybe you’d like to try Programming 101’s follow-on course Programming 102: Think Like a Computer Scientist? Take your Python skills further by learning to break down problems into smaller tasks and designing algorithms you can apply to data.

Finally, if you’re an experienced computing educator, dig into Object-oriented Programming in Python, a really fun and challenging course that helps you get to grips with OOP principles by creating a text-based adventure game in Python.

Sign-ups are open until the end of August. Now go get those gains!

Tell us about your workout routine

What will your personal coding regime look like this summer? What online courses have you enjoyed taking this year? (They don’t have to be ours!) Tell us in the comments below.

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Website: LINK

02/07/2019
Your Back-to-School Bootcamp with our free online training

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Twitter

Reading Time: 3 minutes
Are you ready FEEL THE BURN…of your heating laptop? And MAX THOSE REPS…using forever loops? Then get your programming muscles into the best shape possible with our free online training courses.

Pump up your programming skills for free

Today we are excited to announce our new online training course Programming with GUIs — now open for sign-ups on FutureLearn. To celebrate, we’ve also curated a set of courses as your personal Back-to-school Bootcamp. Sign up now to start training from Monday 29 July and throughout August!

Your Back-to-school Bootcamp has something for beginner, intermediate, and advanced learners, and all the courses are free, thanks to support from Google.

Also keep in mind that all the courses count towards becoming certified through the National Centre for Computing Education.

Couch to 5k…lines of code

If you’re just beginning to learn about coding, the perfect place to start is Programming 101: An Introduction to Python for Educators. You’ll first get to grips with basic programming concepts by learning about the basics of Python syntax and how to interpret error messages. Then you’ll use your new coding skills to create a chatbot that asks and answers questions!

For Primary teachers, our course Scratch to Python: Moving from Block- to Text-based Programming is ideal. Take this course if you’ve been using Scratch and are wondering how to introduce Python to your older students.

If you’ve been programming for a while, sign up for our brand-new course Programming with GUIs — an intermediate-level course that shows you how to build your own graphical user interface (GUI) in Python. You will learn how to incorporate interactivity in your programs, discover different types of GUI features, and build your confidence to design more complex GUI-based apps in the future.

Or maybe you’d like to try Programming 101’s follow-on course Programming 102: Think Like a Computer Scientist? Take your Python skills further by learning to break down problems into smaller tasks and designing algorithms you can apply to data.

Finally, if you’re an experienced computing educator, dig into Object-oriented Programming in Python, a really fun and challenging course that helps you get to grips with OOP principles by creating a text-based adventure game in Python.

Sign-ups are open until the end of August. Now go get those gains!

Tell us about your workout routine

What will your personal coding regime look like this summer? What online courses have you enjoyed taking this year? (They don’t have to be ours!) Tell us in the comments below.

No Title

No Description

Website: LINK

02/07/2019
Celebrating our teachers

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The end of the academic year is here, and we are marking the occasion by celebrating teachers from all over the world.

For those about to teach, we salute you.

Since last September, we’ve run a whole host of programmes that teachers have been involved in. From training with us at Picademy to building apocalyptic projects for Pioneers, from running Code Clubs, Dojos, and Raspberry Jams to learning tea-making algorithms on our free online training courses, these brilliant people do amazing things on a daily basis. And even more amazingly, they somehow also have the energy to take their knowledge into schools and share it with their learners to get them excited about computing too.

Dr Sue Sentance, the Raspberry Pi Foundation’s new Chief Learning Officer, has trained teachers for many years and understands better than most the impact a good teacher can have:

“When thinking about teaching Computing, we often get so caught up in the technology — what software, what kit, what environment, etc. — that we forget that it’s the teachers who actually facilitate students’ learning and inspire and motivate the students. A passionate and enthusiastic teacher is more important than which device or tool the students are using, because they understand what will help their students. “

In celebration of our education community, we asked teachers around the world to answer one big question:

“What has been your computing highlight of the year?”

Caroline Keep

Caroline (top right) and her group of students at Spark Penketh

Caroline Keep won the TES New Teacher of the Year award and runs Spark Penketh, a school makerspace in Warrington. She will also be training with us in August to become a Raspberry Pi Certified Educator. Her highlight of the year was achieving success at the forefront of the UK’s makerspace movement:

“All the physical computing projects we’ve done since February when Raspberry Pi co-founder Pete Lomas opened our school makerspace (the first one in a UK state school) have been amazing! We’ve built and coded talking robots, and gesture-controlled ones on micro:bits with primary schools. We’ve built drones, coded Arduinos for European Maker Week, opened a RoboDojo, used Python and Node-RED on Raspberry Pi to control weather stations, Pi Camera Modules, and robots, and we’ve designed a Digital Creative pathway for Industry 4.0 skills for September. Next up are Google AIY Projects kits, Redfern Electronic’s Crumble, and Bare Conductive’s Touch Board. We can’t wait!”

Heidi Baynes

Heidi (left) and two other amazing US-based educators pose under a very apt sign. It’s like they planned it.

Heidi Baynes is an Education Coordinator for the County Office of Education in Riverside, California. Her highlight is a birthday party with a difference:

“The Riverside Raspberry Jam was held on 3 March 2018 as part of Raspberry Pi’s Big Birthday celebration. Fellow Picademy graduate Ari Flewelling and I planned the event in conjunction with Vocademy, and we were thrilled by the overwhelming support from the local community. The event featured a project showcase, workshops, and an introduction to all things Raspberry Pi. We can’t wait to start planning the 2019 Riverside Raspberry Jam! I was also particularly proud of the students from Mountain Heights Academy who shared their Raspberry Pi and micro:bit projects at the Consortium’s #CSforAll event in Riverside. Our student Hailey was able to share her experiences as part of a student panel and even had the opportunity to meet the CEO of code.org, Hadi Partovi!”

Amy Bloodworth

Amy Bloodworth and her Astro Pi–winning students

Amy Bloodworth is a teacher at The American School In Switzerland (TASIS) in Lugano, Switzerland. Her highlight is literally out of this world:

“It has been a busy year for us here in Switzerland. Highlights for me and my students include meeting a computer game designer, competing in the World Robot Olympiad, and participating in the Astro Pi Challenge. With Astro Pi, my students loved that they could send their coded message to the ISS astronauts in any of the languages of ESA. As we are an international school, so this helped the students feel more connected to the task. The Astro Pi Challenge hooked the students in and acted as a springboard for other activities, such as coding an ISS tracker that alerted them when the ISS was overhead, and other science experiments using the Sense HAT. Next year, I plan to start a new after-school club dedicated to competitive robotics.”

Janice Paterson

Janice Paterson’s lovely class of brain-eating zombies

Janice Paterson is the Principal Teacher at Wormit Primary in Fife, Scotland. Her highlight wouldn’t seem out of place in The Walking Dead:

“We loved the amazing open-ended challenge of a zombie apocalypse, courtesy of Raspberry Pi’s Pioneers programme. It was truly cross-curricular and completely immersive for all the young learners. The books were devoured for information/ideas, and the makeup kits inspired our imaginations and creative side. We had Pi-powered, zombie-detecting robots coded to offer assorted challenges, and micro:bits set up as zombie teacher detectors (their thermometers were used because, of course, teachers have hot bodies!). We all learned loads! The best bit was sharing it all with the rest of our Code Club and the whole school.”

Wojtek Zielinski

Our Code Club resources translated into Polish

Wojtek Zielinski works in Poland as a teacher. His highlight was a breakthrough he had when working with the translated versions of our resources with his students:

“When children work with resources in English, they often end up following what’s in the pictures. They don’t understand why the game or the program they created works. Translated materials enable them to truly learn and understand programming concepts, and that empowers them to experiment and create more. Translations are therefore essential for learning.”

Our thanks

We are so grateful for everything our teachers do to help us make our programmes a success. Together we’ll be able to achieve our goal of making high-quality computing resources that are accessible to everyone!

As a quick aside, you might also be interested to read a recent interview with Raspberry Pi creator and co-founder Eben Upton about the positive impact his teachers had on him.

Whether you’re a teacher wanting to share your success, or you simply want to share your appreciation for the teachers who inspired you, tell us about it in the comments below.

And from everyone at the Raspberry Pi Foundation, there’s only one thing left to say…

Teachers, we salute you!

Website: LINK

13/07/2018
Start a CoderDojo with our free online training

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You can now sign up to our newest free online course Start a CoderDojo to learn more about CoderDojo and how you can easily set up one of these free coding clubs for young people in your area. With less than two weeks until the course begins, we wanted to tell you about the course’s content and why the course’s creator put it together for you.

Start a CoderDojo || free online learning || Raspberry Pi Foundation

Get support and advice on how to grow your confidence in coding and start a CoderDojo for young people in your area.

What is CoderDojo?

CoderDojo is a global network of free, volunteer-led, community-based programming clubs for young people aged 7 to 17. There are currently more than 1700 Dojos running regularly across 75 countries. All of these clubs were started by individuals who are passionate about giving young people the opportunity to learn to code. Some people assume you need technical skills to start a Dojo, but that’s not true. The most important thing is that you can bring people together for a shared goal.

What is covered on the course?

The course was developed by Philip, CoderDojo’s Educational Content Lead. It gives those who think empowering young people to be tech creators is important the resources and supports to achieve that goal by starting a Dojo. Divided over three weeks and running for about four hours in total, the course provides practical advice and resources on everything you need to know to plan and run a fun, social, and creative coding club for young people.

“In the first week, you’ll look at what coding is, at the worldwide CoderDojo community of coding clubs, and at the creative approach CoderDojos take to helping young people learn to code. In week two, you’ll move on to setting up your Dojo with a team, a venue, and any needed materials. You’ll also look at how to find young people to attend. Week three wraps up the course by giving you sample plans for a Dojo session and a Dojo’s year, and we’ll be talking about how to grow and develop your Dojo over time as your attendees become better coders.”
— Philip

Who is the course for?

Anyone interested in enabling young people to be tech creators should take this course. Parents, teachers, librarians, IT professionals, youth workers, and others have all started Dojos in their community. They say that “it’s an amazing experience that led [them] to expand [their] personal horizons”, and that they “find it really rewarding”.

The course is free and open to all — if you’re interested, then sign up now.

If you’re already mentoring at a Dojo, the course is a great opportunity to revise what you’ve learnt, and a chance to share your insights with newcomers in the discussion sections. Parents and guardians who wish to learn more about CoderDojo and are considering getting involved are also more than welcome to join.

Website: LINK

16/04/2018