All posts by Michael Conterio

How to create great educational video content for computing and beyond

Post Syndicated from Michael Conterio original https://www.raspberrypi.org/blog/how-to-create-educational-video-content-computing-computer-science/

Over the past five years, we’ve made lots of online educational video content for our online courses, for our Isaac Computer Science platform for GCSE and A level, and for our remote lessons based on our Teach Computing Curriculum hosted on Oak National Academy.

We have learned a lot from experience and from learner feedback, and we want to share this knowledge with others. We’re also aware there’s always more to learn from people across the computing education community. That’s one reason we’re continually working to broaden the range of educators we work with. Another is that we want all learners to see themselves represented in our educational materials, because everyone belongs in computer science.

Facilitators and participants involved in the Teach Online programme.
RPF staff and the Teach Online participants

To make progress with all these goals, we ran a pilot programme for educators called Teach Online at the end of 2021 and the start of 2022. Through Teach Online, we provided twelve educators with training, opportunities, and financial and material support to help them with creating online educational content, particularly videos.

Over five online sessions and a final in-person day, we trained them in not only the production of educational videos, but also some of the pedagogy behind it. The pilot programme has now finished, and we thought we’d share some of the key points from the sessions with you in the wider community.

Learning to create a great online learning experience

When you learn new skills and knowledge, it’s important to think about how you apply these. For this reason, a useful question you can use throughout the learning process is “Why?”. So as you think about how to create the best online learning experience, ask yourself in different contexts throughout the content design and production:

  • Why am I using this style of video to illustrate this topic?
  • Why am I presenting these ideas in this order?
  • Why am I using this choice of words?

For example, it’s easy to default to creating ‘talking head’ videos featuring one person talking directly to the camera. But you should always ask why — what are the reasons for using a ‘talking head’ style. Instead, or in addition, you can make videos more engaging and support the learning experience by:

  • Turning the video into an interview
  • Adding other camera angles or screencasts to focus on demonstrations
  • Cutting away to B-roll footage (additional video that can provide context or related action, while the voiceover continues) or to still images that help connect a concept to concrete examples
Teach Computing programme participant.
Teach Online participants explored different ways to make their videos engaging

Planning is key

By planning your content carefully instead of jumping into production right away, you can:

  • Better visualise what your video should look like by creating a storyboard
  • Keep learners engaged by deliberately splitting learning up into smaller chunks while still keeping a narrative flow between them
  • Develop your learners’ understanding of key computing concepts by using semantic waves to unpack and repack concepts

The Teach Online participants told us that they particularly enjoyed learning more about planning videos:

“I now understand that a little planning can make the difference between a mediocre online learning experience and a professional-looking valuable learning experience.” – Educator who participated in our Teach Online programme

“Planning the session using a storyboard is so helpful to visualise the actual recording.” – Educator who participated in our Teach Online programme

Storyboard from a Teach Computing participant.
Storyboards are a great option to plan online learning experiences

Considering equity, diversity, and inclusion

We are committed to making computing and computer science accessible and engaging, so we embed measures to improve equity, diversity, and inclusion throughout our free learning and teaching resources, including the Teach Online programme. It’s important not to leave this aspect of creating educational content as an afterthought: you can only make sure that your content is truly as equitable and inclusive as you can make it if you address this at every stage of your process. As an added bonus, many ways of making your content more accessible not only benefit learners with specific needs, but support and engage all of your audience so everyone can learn more easily.

Best practices that you can use while creating online content include:

Connecting with your learner audience

One of video’s key advantages is the ability to immediately connect with the audience. To help with that, you can try to talk directly to a single viewer, using “you” and “I” rather than “we”. You can also show off your personality in the presentation slides you use and the backgrounds of your videos.

“[I will use my learning from the programme] by adapting teaching and learning to actively engage learners.” – Educator who participated in our Teach Online programme

It’s important to find your own personal presenting style. There is not one perfect way to present, and you should experiment to find how you are best able to communicate with your viewers. How formal or informal will you be? Is your delivery calm or energetic? Whatever you decide, you may want to edit your script to better fit your style. A practical tip for doing this is to read your video scripts aloud while you are writing them to spot any language that feels awkward to you when spoken. 

“It was really great to try the presenting skills, and I learned a lot about my style.” – Educator who participated in our Teach Online programme

A videographer preparing to film a course presenter.

Connecting with each other

Throughout the Teach Online programme, we helped participants create a community with each other. Finding your own community can give you the support that you need to create, and help you continue to develop your knowledge and skills. Working together is great, whether that’s collaborating in-person locally, or online via for example the CAS forums or social media.

“I very much liked the diverse group of educators in this programme, and appreciated everyone sharing their experiences and tips.” – Educator who participated in our Teach Online programme

The Teach Online graduate have told us about the positive impact the programme has had on their teaching in their own contexts. So far we’ve worked with graduates to create Isaac Computer Science videos covering data structures, high- and low-level languages, and string handling.

What do you want to know about creating online educational content?

There is a growing need for online educational content, particularly videos — not only to improve access to education, but also to support in-person teaching. By investing in training educators, we help diversify the pool of people working in this area, improve the confidence of those who would like to start, and provide them with the skills and knowledge to successfully create great content for their learners.

In the future we’d also like to support the wider community of educators with creating online educational content. What resources would you find useful? Share your thoughts in the comments section below.

The post How to create great educational video content for computing and beyond appeared first on Raspberry Pi.

Get an easy start to coding with our new free online course

Post Syndicated from Michael Conterio original https://www.raspberrypi.org/blog/learn-to-code-new-free-online-course-scratch-programming/

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.

An illustration of Scratch coding.

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.

Scratch course presenters Vasu and Mark.
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.

A video of what Scratch coding looks like.
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.

A Scratch coding project.
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.

A Scratch coding project.
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:

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Learn the fundamentals of AI and machine learning with our free online course

Post Syndicated from Michael Conterio original https://www.raspberrypi.org/blog/fundamentals-ai-machine-learning-free-online-course/

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.

Drawing of a machine learning robot helping a human identify spam at a computer.

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 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.

Drawing of a machine learning ars rover trying to decide whether it is seeing an alien or a rock.

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.

some things that machine learning and AI systems can be built into: streetlamps, waste collecting vehicles, cars, traffic lights.

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, you’ll learn 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).

drawing of a small machine learning neural network.

Before an ML program can be trained, you need to collect data to train it with. During the 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 to the course today, 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.

The post Learn the fundamentals of AI and machine learning with our free online course appeared first on Raspberry Pi.

How teachers train in Computing with our free online courses

Post Syndicated from Michael Conterio original https://www.raspberrypi.org/blog/how-teachers-train-computing-free-online-courses/

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!

An illustration of a bootcamp for computing teachers

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 Connell
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.”

Computing teacher Julie Price
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.

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