How our approach to translation considers design, process and people

English is seen by many as the language of computing, and in many countries, it’s also either the language of education or a language that young people aspire to learn. However, English is, in some instances, a barrier to learning: young people in many communities don’t have enough knowledge of English to use it to learn about digital technologies, or even if they do, the language of communication with other students, teachers, or volunteers may not be English.

In a world where browsers can instantly translate web pages and large language models can power seemingly perfect conversations in virtually any language, it’s easy to assume that translation just happens and that somehow, technology takes care of it. Unfortunately, that’s not the case. Technology is certainly crucial to translation, but there’s much more to it than that. Our approach to translation involves considering design, process, and people to ensure that localised materials truly help young people with their learning journey. 

Localisation or translation?

Localisation and translation are similar terms that are often used interchangeably. Localisation normally refers to adapting a product to suit a local market, whereas translation is a subset of localisation that involves changing the language of the text. For instance, localisation includes currencies, measurements, formatting dates and numbers, and contextual references. Meanwhile, translation involves only changing the language of the text, such as from English to French.

At the Raspberry Pi Foundation, we see translation as an enabler. It enables volunteers to reach learners, learners to succeed in their educational goals, and the Foundation to achieve its mission all over the world.

Four key ways the Foundation maximises the impact and reach of our translated materials

1. Create with localisation in mind

Regardless of whether learning materials are intended for English-speaking or global audiences, it’s important to create and design them with localisation in mind. That way, they can be used in a variety of places, and any piece of content (text, graphics, or illustrations) can be modified to meet the needs of the target audience. Keeping localisation in mind might include allowing space for text expansion, being mindful of any text embedded in graphic elements, and even making sure the context is understandable for a variety of audiences. Making a piece of content localisable at the creation stage is virtually cost-free. Modifying fully built assets to translate them or to use them in other markets can be expensive and extremely time-consuming!

2. Always have user needs and priorities upfront

Before investing in localising or translating any materials, we seek to understand the needs and priorities of our users. In many countries where English is not the usual language of communication, materials in English are a barrier, even if some of the users have a working knowledge of English. Making materials available in local languages directly results in additional reach and enhanced learning outcomes. In other communities where English has a certain status, a more selective approach may be more appropriate. A full translation may not be expected, but translating or adapting elements within them, such as introductions, videos, infographics, or glossaries, can help engage new learners.

3. Maximise the use of technology

While it’s possible to translate with pen and paper, translation is only scalable with the use of technology. Computer-assisted translation tools, translation memories, terminology databases, machine translation, large language models, and so on are all technologies that play their part in making the translation process more efficient and scalable. 

At the Foundation, we make use of a variety of translation technologies and also, crucially, work very closely with our content and development teams to integrate their tools and processes into the overall localisation workflow. 

4. Take great care of the people

Even with the best technology and the smoothest integrations, there is a human element that is absolutely essential. Our amazing community of volunteers and partners work very closely with learners in their communities. They understand the needs of those learners and have a wealth of information and insights. We work with them to prioritise, translate, review and test the learning materials. They are key to ensuring that our learning materials help our users reach their learning goals.

In summary

Thinking about localisation from the moment we start creating learning materials, understanding the needs of users when creating our end goals, maximising the use of technology, and taking good care of our people and partners are the key principles that drive our translation effort. 

If you’d like to find out more about translation at the Raspberry Pi Foundation or would like to contribute to the translation of our learning materials, feel free to contact us at translation@raspberrypi.org.  

A version of this article also appears in Hello World issue 23.

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That’s where the OCEAN prompting process comes in: it’s a straightforward framework designed to work with any LLM, helping you reliably get the results you want. 

The great thing about the OCEAN process is that it takes the guesswork out of using LLMs. It helps you move past that ‘blank page syndrome’ — that moment when you can ask the model anything but aren’t sure where to start. By focusing on clear objectives and guiding the model with the right context, you can generate content that is spot on for your needs, every single time.

5 ways to make LLMs work for you using the OCEAN prompting process

OCEAN’s name is an acronym: objective, context, examples, assess, negotiate — so let’s begin at the top.

1. Define your objective

Think of this as setting a clear goal for your interaction with the LLM. A well-defined objective ensures that the responses you get are focused and relevant.

Maybe you need to:

• Draft an email to parents about an upcoming school event
• Create a beginner’s guide for a new Scratch project
• Come up with engaging quiz questions for your next science lesson

By knowing exactly what you want, you can give the LLM clear directions to follow, turning a broad idea into a focused task.

2. Provide some context 

This is where you give the LLM the background information it needs to deliver the right kind of response. Think of it as setting the scene and providing some of the important information about why, and for whom, you are making the document.

You might include:

• The length of the document you need
• Who your audience is — their age, profession, or interests
• The tone and style you’re after, whether that’s formal, informal, or somewhere in between

All of this helps the LLM include the bigger picture in its analysis and tailor its responses to suit your needs.

3. Include examples

By showing the LLM what you’re aiming for, you make it easier for the model to deliver the kind of output you want. This is called one-shot, few-shot, or many-shot prompting, depending on how many examples you provide.

You can:

• Include URL links 
• Upload documents and images (some LLMs don’t have this feature)
• Copy and paste other text examples into your prompt

Without any examples at all (zero-shot prompting), you’ll still get a response, but it might not be exactly what you had in mind. Providing examples is like giving a recipe to follow that includes pictures of the desired result, rather than just vague instructions — it helps to ensure the final product comes out the way you want it.

4. Assess the LLM’s response

This is where you check whether what you’ve got aligns with your original goal and meets your standards.

Keep an eye out for:

• Hallucinations: incorrect information that’s presented as fact
• Misunderstandings: did the LLM interpret your request correctly?
• Bias: make sure the output is fair and aligned with diversity and inclusion principles

A good assessment ensures that the LLM’s response is accurate and useful. Remember, LLMs don’t make decisions — they just follow instructions, so it’s up to you to guide them. This brings us neatly to the next step: negotiate the results.

5. Negotiate the results

If the first response isn’t quite right, don’t worry — that’s where negotiation comes in. You should give the LLM frank and clear feedback and tweak the output until it’s just right. (Don’t worry, it doesn’t have any feelings to be hurt!) 

When you negotiate, tell the LLM if it made any mistakes, and what you did and didn’t like in the output. Tell it to ‘Add a bit at the end about …’ or ‘Stop using the word “delve” all the time!’ 

How to get the tone of the document just right

Another excellent tip is to use descriptors for the desired tone of the document in your negotiations with the LLM, such as, ‘Make that output slightly more casual.’

In this way, you can guide the LLM to be:

• Approachable: the language will be warm and friendly, making the content welcoming and easy to understand
• Casual: expect laid-back, informal language that feels more like a chat than a formal document
• Concise: the response will be brief and straight to the point, cutting out any fluff and focusing on the essentials
• Conversational: the tone will be natural and relaxed, as if you’re having a friendly conversation
• Educational: the language will be clear and instructive, with step-by-step explanations and helpful details
• Formal: the response will be polished and professional, using structured language and avoiding slang
• Professional: the tone will be business-like and precise, with industry-specific terms and a focus on clarity

Remember: LLMs have no idea what their output says or means; they are literally just very powerful autocomplete tools, just like those in text messaging apps. It’s up to you, the human, to make sure they are on the right track. 

Don’t forget the human edit 

Even after you’ve refined the LLM’s response, it’s important to do a final human edit. This is your chance to make sure everything’s perfect, checking for accuracy, clarity, and anything the LLM might have missed. LLMs are great tools, but they don’t catch everything, so your final touch ensures the content is just right.

At a certain point it’s also simpler and less time-consuming for you to alter individual words in the output, or use your unique expertise to massage the language for just the right tone and clarity, than going back to the LLM for a further iteration. 

Ready to dive in? 

Now it’s time to put the OCEAN process into action! Log in to your preferred LLM platform, take a simple prompt you’ve used before, and see how the process improves the output. Then share your findings with your colleagues. This hands-on approach will help you see the difference the OCEAN method can make!

Sign up for a free account at one of these platforms:

• ChatGPT (chat.openai.com)
• Gemini (gemini.google.com)

By embracing the OCEAN prompting process, you can quickly and easily make LLMs a valuable part of your teaching toolkit. The process helps you get the most out of these powerful tools, while keeping things ethical, fair, and effective.

If you’re excited about using AI in your classroom preparation, and want to build more confidence in integrating it responsibly, we’ve got great news for you. You can sign up for our totally free online course on edX called ‘Teach Teens Computing: Understanding AI for Educators’ (helloworld.cc/ai-for-educators). In this course, you’ll learn all about the OCEAN process and how to better integrate generative AI into your teaching practice. It’s a fantastic way to ensure you’re using these technologies responsibly and ethically while making the most of what they have to offer. Join us and take your AI skills to the next level!

A version of this article also appears in Hello World issue 25.

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Two years later, the one thing most people agree on is that, like it or not, generative AI is here to stay. And as a computing educator, you probably have your learners and colleagues looking to you for guidance about this technology. We’re sharing how educators like you are approaching generative AI in issue 25 of Hello World, out today for free.

Generative AI and teaching

Since our ‘Teaching and AI’ issue a year ago, educators have been making strides grappling with generative AI’s place in their classroom, and with the potential risks to young people. In this issue, you’ll hear from a wide range of educators who are approaching this technology in different ways. 

For example:

• Laura Ventura from Gwinnett County Public Schools (GCPS) in Georgia, USA shares how the GCPS team has integrated AI throughout their K–12 curriculum
• Mark Calleja from our team guides you through using the OCEAN prompt process to reliably get the results you want from an LLM 
• Kip Glazer, principal at Mountain View High School in California, USA shares a framework for AI implementation aimed at school leaders
• Stefan Seegerer, a researcher and educator in Germany, discusses why unplugged activities help us focus on what’s really important in teaching about AI

This issue also includes practical solutions to problems that are unique to computer science educators:

• Graham Hastings in the UK shares his solution to tricky crocodile clips when working with micro:bits
• Riyad Dhuny shares his case study of home-hosting a learning management system with his students in Mauritius

And there is lots more for you to discover in issue 25.

Whether or not you use generative AI as part of your teaching practice, it’s important for you to be aware of AI technologies and how your young people may be interacting with it. In his article “A problem-first approach to the development of AI systems”, Ben Garside from our team affirms that:

“A big part of our job as educators is to help young people navigate the changing world and prepare them for their futures, and education has an essential role to play in helping people understand AI technologies so that they can avoid the dangers.

Our approach at the Raspberry Pi Foundation is not to focus purely on the threats and dangers, but to teach young people to be critical users of technologies and not passive consumers. […]

Our call to action to educators, carers, and parents is to have conversations with your young people about generative AI. Get to know their opinions on it and how they view its role in their lives, and help them to become critical thinkers when interacting with technology.”

Share your thoughts & subscribe to Hello World

Computing teachers are being asked again to teach something that they didn’t study. With generative AI as with all things computing, we want to support your teaching and share your successes. We hope you enjoy this issue of Hello World, and please get in touch with your article ideas or what you would like to see in the magazine.

• Share your thoughts and ideas about Hello World and the new issue with us on social media by tagging the Hello World Twitter/X or Facebook accounts
• Find out how you can write for the magazine
• Subscribe to Hello World for free to never miss an issue

We’d like to thank Oracle for supporting this issue.

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Teaching about the impact of technology 

For learners to become informed, empowered citizens, they need to understand the impact technology has on them as individuals, and on society as a whole. In our brand-new issue of Hello World, educators share insights from their work in and around classrooms that will help you engage your learners in learning about and discussing the impact of tech.

For example:

• Jasmeen Kanwal and the team at Data Education in Schools share their resources for how young people can start to learn the skills they need to change the world with data
• Julie York writes about how incorporating AI education into any classroom can help students prepare for future careers
• Ben Hall discusses whether technology is divisive or inclusive, and how you can encourage students to think critically about it

This issue also includes stories on how educators use technology to create a positive impact for learners:

• Yolanda Payne tells you how she’s using teaching experiences from the COVID-19 pandemic to bring better remote learning to communities in Georgia, USA, and in the US Virgin Islands
• Mitchel Resnick and Natalie Rusk from Lifelong Kindergarten group at MIT Media Lab introduce their new free mobile app, OctoStudio, and how it helps learners and educators in underresourced areas get creative with code

And there is lots more for you to discover in issue 24.

The issue also covers how you can make time to teach about the impact of technology in an already packed curriculum. Sway Grantham, Senior Learning Manager at the Raspberry Pi Foundation, says in her article:

“As adults, it is easy for us to see the impact technology has had on society and on our lives. Yet when I tell pupils that, within my lifetime, it wasn’t always illegal to hold your mobile phone to your ear and have a call while driving, they are horrified. They are living in the now and don’t yet have the perspective to allow them to see the change that has happened. However, knowing the impact of technology allows us to learn from previous mistakes, to make decisions around ethical behaviour (such as using a phone while driving), and to critically engage in real-world issues.

As teachers, allocating some time to this topic throughout the year can seem challenging, but with a few small changes, the impact might be more than you can imagine.”

Share your thoughts & subscribe to Hello World

With so many aspects of life impacted by technology, computing educators play a crucial role in supporting young people to become informed, empowered citizens. We hope you enjoy this issue of Hello World and find it useful in your teaching.

• Share your thoughts and ideas about the new issue and the topic on social media by tagging the Hello World Twitter/X or Facebook accounts
• Find out how you can write for the magazine
• Subscribe to Hello World for free to never miss an issue

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Episode 1: Do kids still need to learn how to code?

In the recent ‘Teaching & AI’ issue of Hello World, our CEO Philip Colligan discussed what AI means for computing education, including for learning to program. And our first new podcast episode is all about this question, which every computing educator has probably thought about at least once in recent months: Do kids still need to learn how to code?

Joining my co-host Veronica and me are two computing educators: Pete Dring, Head of Computing at Fulford School in York, and Chris Coetzee, a computer science teacher for 24 years and currently a PhD student in Computer Science Education at Abertay Dundee. Given the recent developments in AI-based code generators, we talk about whether such tools will remove our learners’ need to learn to code or simply change what coding, and learning to code, looks like*.

What’s coming up in future episodes?

New episode of season 6 will come out every 2 weeks. In each episode we explore computing, coding, and digital making education by delving into an exciting topic together with our guests: experts, practitioners, and other members of the Hello World community.

Also in season 6, we’ll explore:

The role of computing communities

We discuss the value and importance of being connected to other computing educators through the many different teaching communities that exist around the world. What makes effective communities, and how do we build and sustain them?

Why is understanding cybersecurity so important?

From classroom lessons to challenges and competitions, there are lots of opportunities for learners to discover cybersecurity. There are also many pitfalls where learners’ online activities put them at risk of breaking the law. We discuss some of these pitfalls along with the many career opportunities in cybersecurity.

How to develop as a computing educator?

What is involved in becoming an effective computing educator? What knowledge, skills, and behaviours are needed, and how do we go about developing them? We sit down with teacher trainers and trainees to explore this topic.

What is the state of computing education and where is it heading?

Computing education has come a long way in the last decade in terms of practice and policy, as well as research. Together with our guests we discuss where computing education is today around the world, and we consider the lessons we can learn and the challenges ahead

What is the role of AI in your classroom?

AI continues to be a disruptive technology in many spaces, and the classroom is no exception. We hear examples of practices and approaches being explored by teachers in the classroom.

Listen and subscribe today

If you’ve not listened to the Hello World podcast yet, there are 5 whole seasons for you to discover. We talk about everything from ecology and quantum computing to philosophy, ethics, and inclusion, and our conversations always focus on the practicalities of teaching in the classroom.

Many of our podcast guests are Hello World authors, so if you’re an educator who wants to share your insights into how to teach young people about digital technology, please let us know. Your words could end up in the pages as well as on the airwaves of Hello World.

You’ll find the upcoming Hello World season and past episodes on your favourite podcast platform, including YouTube now, where you can also subscribe to never miss an episode. Alternatively, you can listen here via your browser.

* If you want to dive into the newest research on programming education with and without AI, check out our current seminar series.

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Global exchange in a worldwide community

In Hello World issue 23, you’ll hear about countries where computing is an official school subject and how it was set up that way, and you’ll hear about countries that are newer to computing education and working to fast-track their students’ learning.

• Ethel Tshukudu’s article on her research using the CAPE framework is a fascinating comparison of computer science education in four African countries
• Iliana Ramirez describes how volunteers are at the heart of Ciberistas, a technology training programme for young people in Mexico
• Matthew Griffin’s article highlights how computing education works in Canada, a large country with two official languages
• Dana Rensi’s article about a solar-powered Raspberry Pi computing lab in the middle of the Peruvian rainforest will surprise and delight you
• Randal Rousseau, a librarian in Cape Town, South Africa, shares how he teaches children to code through unplugged activities

And there is lots more for you to discover in issue 23.

Sue Sentance, director of the Raspberry Pi Computing Education Research Centre at the University of Cambridge, says in her article:

“Our own experience of implementing computing education in England since 2014 has shown the importance of teachers supporting each other, and how various networks … are instrumental in bringing computing teachers together to share knowledge and experiences. With so many countries introducing computing education, and teachers around the globe facing similar challenges, maybe we need to extend this to a global teacher network, where teachers and policymakers can share good practice and learn from each other. “

We aim for Hello World magazine to be one of the places where this sharing, exchange, and learning can take place. Subscribe for free to never miss an issue, and find out how you can write for the magazine.

Download Hello World issue 23 for free

Research highlights the importance of computing education to young people’s futures, whether or not they pursue a degree or career in the area. From teaching computing in schools where the electricity cuts out, to incorporating artificial intelligence into curricula in different countries, and to teaming up with local governments when there isn’t a national computing curriculum, educators are doing wonderful things around the globe to make sure the young people they support have the opportunity to learn. Read their stories today.

Also in issue 23:

• Research on culturally adapted resources 
• How community building enhances computing education
• Tips for hosting a STEM event in school

And much, much more.

Send us a message or tag us on social media to let us know which articles have made you think, and most importantly, which will help you with your teaching. And to hear monthly news about Hello World and the whole Raspberry Pi Foundation, sign up to the Hello World newsletter.

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How to talk to children about AI

Absorbing media and assimilating it into your existing knowledge is a challenge, and this is a concern when the media is full of big, scary headlines about artificial intelligence (AI) taking over the world, stealing jobs, and being sentient. As teachers and parents, you don’t need to know all the details about AI to answer young people’s questions, but you can avoid accidentally introducing alternate conceptions. This article offers some top tips to help you point those inquisitive minds in the right direction.

AI is not a person

Technology companies like to anthropomorphise their products and give them friendly names. Why? Because it makes their products seem more endearing and less scary, and makes you more likely to include them in your lives. However, when you think of AI as a human with a name who needs you to say ‘please’ or is ‘there to help you’, you start to make presumptions about how it works, what it ‘knows’, and its morality. This changes what we ask, how much we trust an AI device’s responses, and how we behave when using the device. The device, though, does not ‘see’ or ‘know’ anything; instead, it uses lots of data to make predictions. Think of word association: if I say “bread”, I predict that a lot of people in the UK will think “butter”. Here, I’ve used the data I’ve collected from years of living in this country to predict a reasonable answer. This is all AI devices are doing. 

[AI] does not ‘see’ or ‘know’ anything; instead, it uses lots of data to make predictions.

When talking to young children about AI, try to avoid using pronouns such as ‘she’ or ‘he’. Where possible, avoid giving devices human names, and instead call them “computer”, to reinforce the idea that humans and computers are very different. Let’s imagine that a child in your class says, “Alexa told me a joke at the weekend — she’s funny!” You could respond, “I love using computers to find new jokes! What was it?” This is just a micro-conversation, but with it, you are helping to surreptitiously challenge the child’s perception of Alexa and the role of AI in it.

Where possible, avoid giving devices human names, and instead call them ‘computer’, to reinforce the idea that humans and computers are very different.

Another good approach is to remember to keep your emotions separate from computers, so as not to give them human-like characteristics: don’t say that the computer ‘hates’ you, or is ‘deliberately ignoring’ you, and remember that it’s only ‘helpful’ because it was told to be. Language is important, and we need to continually practise avoiding anthropomorphism.

AI isn’t just robots (actually, it rarely is)

The media plays a huge role in what we imagine when we talk about AI. For the media, the challenge is how to make lines of code and data inside a computer look exciting and recognisable to their audiences. The answer? Robots! When learners hear about AI taking over the world, it’s easy for them to imagine robots like those you’d find in a Marvel movie. Yet the majority of AI exists within systems they’re already aware of and are using — you might just need to help draw their attention to it.

Even better than just calling out uses of AI: try to have conversations about when things go wrong and AI systems suggest silly options.

For example, when using a word processor, you can highlight to learners that the software sometimes predicts what word you want to type next, and that this is an example of the computer using AI. When learners are using streaming services for music or TV and the service predicts something that they might want to watch or listen to next, point out that this is using AI technology. When they see their parents planning a route using a satnav, explain that the satnav system uses data and AI to plan the best route.

Even better than just calling out uses of AI: try to have conversations about when things go wrong and AI systems suggest silly options. This is a great way to build young people’s critical thinking around the use of computers. AI systems don’t always know best, because they’re just making predictions, and predictions can always be wrong.

AI complements humans

There’s a delicate balance between acknowledging the limitations of AI and portraying it as a problematic tool that we shouldn’t use. AI offers us great opportunities to improve the way we work, to get us started on a creative project, or to complete mundane tasks. However, it is just a tool, and tools complement the range of skills that humans already have. For example, if you gave an AI chatbot app the prompt, ‘Write a setting description using these four phrases: dark, scary, forest, fairy tale’, the first output from the app probably wouldn’t make much sense. As a human, though, you’d probably have to do far less work to edit the output than if you had had to write the setting description from scratch. Now, say you had the perfect example of a setting description, but you wanted 29 more examples, a different version for each learner in your class. This is where AI can help: completing a repetitive task and saving time for humans. 

To help children understand how AI and humans complement each other, ask them the question, ‘What can’t a computer do?’ Answers that I have received before include, ‘Give me a hug’, ‘Make me laugh’, and ‘Paint a picture’, and these are all true. Can Alexa tell you a joke that makes you laugh? Yes — but a human created that joke. The computer is just the way in which it is being shared. Even with AI ‘creating’ new artwork, it is really only using data from something that someone else created. Humans are required. 

Overall, we must remember that young children are part of a world that uses AI, and that it is likely to be ever more present in the future. We need to ensure that they know how to use AI responsibly, by minimising their alternate conceptions. With our youngest learners, this means taking care with the language you choose and the examples you use, and explaining AI’s role as a tool.

To help children understand how AI and humans complement each other, ask them the question, ‘What can’t a computer do?’

These simple approaches are the first steps to empowering children to go on to harness this technology. They also pave the way for you to simply introduce the core concepts of AI in later computing lessons without first having to untangle a web of alternate conceptions.

This article also appears in issue 22 of Hello World, which is all about teaching and AI. Download your free PDF copy now.

If you’re an educator, you can use our free Experience AI Lessons to teach your learners the basics of how AI works, whatever your subject area.

The post AI isn’t just robots: How to talk to young children about AI appeared first on Raspberry Pi Foundation.

Teaching and AI

In their articles for issue 22, educators explore a range of topics related to teaching and AI, including what is AI literacy and how do we teach it; gender bias in AI and what we can do about it; how to speak to young children about AI; and why anthropomorphism hinders learners’ understanding of AI.

Our feature articles also include a research digest on AI ethics for children, and of course hands-on examples of AI lessons for your learners.

A snapshot of AI education

Hello World issue 22 is a comprehensive snapshot of the current landscape of AI education. Ben Garside, Learning Manager for our Experience AI programme and guest editor of this issue, says:

“When I was teaching in the classroom, I used to enjoy getting to grips with new technological advances and finding ways in which I could bring them into school and excite the students I taught. Occasionally, during the busiest of times, I’d also look longingly at other subjects and be jealous that their curriculum appeared to be more static than ours (probably a huge misconception on my behalf).”

It’s inspiring for me to see how the education community is reacting to the opportunities that AI can provide.

Ben Garside

“It’s inspiring for me to see how the education community is reacting to the opportunities that AI can provide. Of course, there are elements of AI where we need to tread carefully and be very cautious in our approach, but what you’ll see in this magazine is educators who are thinking creatively in this space.”

Download Hello World issue 22 for free

AI is a topic we’ve addressed before in Hello World, and we’ll keep covering this rapidly evolving area in future. We hope this issue gives you plenty of ideas to take away and build upon.

Also in issue 22:

• Vocational training for young people
• Making the most of online educator training
• News about BBC micro:bit
• An insight into the WiPSCE 2023 conference for teachers and educators
• And much, much more

You can download your free PDF issue now, or purchase a print copy from our store. UK-based subscribers for a free print edition can expect their copies to arrive in the mail this week.

Send us a message or tag us on social media to let us know which articles have made you think and, most importantly, which will help you with your teaching.

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A monthly newsletter for Hello World readers

The Hello World community is an amazing group of people, and we love hearing your ideas about what could make Hello World even better at supporting your classroom practice. That’s why we host a fun and informative Hello World podcast to chat with educators around the globe about all things computing and digital making, and why we regularly share some of our favourite past magazine articles online to keep the conversation on important topics going.

Now we’re starting a monthly newsletter to offer you another way to get regular computing education ideas and insights you can use in your teaching. Every month, we’ll be curating a couple of interesting Hello World articles, plus news about the free education resources, research, community stories, and events from the Foundation. You can expect bite-size summaries of all items, plus links for you to explore more in your own time.

Sign up today

Keep up with all of the education news from the Raspberry Pi Foundation and Hello World by signing up for the Hello World newsletter today.

If you’re already signed up to the Raspberry Pi LEARN newsletter, then you don’t need to do anything: this newsletter replaces LEARN and you will be automatically subscribed.

We hope you’ll enjoy the first Hello World newsletter, which we will send out this week. As always, let us know what you think of it on Twitter or Facebook, or here in the comments.

PS Remember that if you work or volunteer as an educator in the UK, you can subscribe to receive free Hello World print copies to your home or workplace.

The post Introducing the Hello World newsletter appeared first on Raspberry Pi Foundation.

It is vital that young children gain good digital literacy skills and understanding of computing concepts, which they can then build on as they grow up. Digital technology is here to stay, and as Sethi De Clercq points out in his article, we need to prepare our youngest learners for circumstances and jobs that don’t yet exist.

Primary computing education: Inspiration and ideas

Issue 21 of Hello World covers a big range of topics in the theme of primary computing education, including:

• Cross-curricular project ideas to keep young learners engaged
• Perfecting typing skills in the primary school classroom
• Using picture books to introduce programming concepts to children
• Toolkits for new and experienced computing primary teachers, by Neil Rickus and Catherine Archer
• Explorations of different approaches to improving diversity in computing and instilling a sense of belonging from the very start of a child’s educational journey, by Chris Lovell and Peter Marshman

The issue also has useful news and updates about our work: we share insights from our primary-specialist learning managers, tell you a bit about the research presented at our ongoing primary education seminar series, and include some relevant lesson plans from The Computing Curriculum.

As always, you’ll find many other articles to support and inspire you in your computing teaching in this new issue. Topics include programming with dyslexia, exploring filter bubbles with your learners to teach them about data science, and using metaphors, similes, and analogies to help your learners understand abstract concepts.

What do you think?

This issue of Hello World focusses on primary computing education because readers like you told us in the annual readers’ survey that they’d like more articles for primary teachers.

We love to hear your ideas about what we can do to continue making Hello World interesting and relevant for you. So please get in touch on Twitter with your thoughts and suggestions.

The post Hello World #21 out now: Focus on primary computing education appeared first on Raspberry Pi Foundation.