惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

W
WeLiveSecurity
T
Tenable Blog
Project Zero
Project Zero
C
Cybersecurity and Infrastructure Security Agency CISA
T
The Exploit Database - CXSecurity.com
P
Palo Alto Networks Blog
S
Schneier on Security
Scott Helme
Scott Helme
S
Securelist
Know Your Adversary
Know Your Adversary
Vercel News
Vercel News
IT之家
IT之家
V
V2EX
F
Fortinet All Blogs
Simon Willison's Weblog
Simon Willison's Weblog
K
Kaspersky official blog
博客园_首页
T
Tailwind CSS Blog
The GitHub Blog
The GitHub Blog
Spread Privacy
Spread Privacy
Microsoft Security Blog
Microsoft Security Blog
Cisco Talos Blog
Cisco Talos Blog
The Register - Security
The Register - Security
有赞技术团队
有赞技术团队
cs.CL updates on arXiv.org
cs.CL updates on arXiv.org
Cyberwarzone
Cyberwarzone
Google DeepMind News
Google DeepMind News
The Hacker News
The Hacker News
L
LINUX DO - 热门话题
Hugging Face - Blog
Hugging Face - Blog
博客园 - 三生石上(FineUI控件)
A
Arctic Wolf
Cyber Security Advisories - MS-ISAC
Cyber Security Advisories - MS-ISAC
C
CXSECURITY Database RSS Feed - CXSecurity.com
让小产品的独立变现更简单 - ezindie.com
让小产品的独立变现更简单 - ezindie.com
T
Threat Research - Cisco Blogs
P
Proofpoint News Feed
钛媒体:引领未来商业与生活新知
钛媒体:引领未来商业与生活新知
P
Privacy & Cybersecurity Law Blog
D
Darknet – Hacking Tools, Hacker News & Cyber Security
C
CERT Recently Published Vulnerability Notes
S
SegmentFault 最新的问题
AWS News Blog
AWS News Blog
freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More
罗磊的独立博客
Apple Machine Learning Research
Apple Machine Learning Research
P
Proofpoint News Feed
The Cloudflare Blog
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
V
Vulnerabilities – Threatpost

Raspberry Pi Foundation

Celebrating over 15,000 young creators at the Coolest Projects 2026 online showcase - Raspberry Pi Foundation How to design and present clear computing lessons - Raspberry Pi Foundation What students and teachers in England want from a computing curriculum - Raspberry Pi Foundation Young people’s computer programs get data from space Support your young people with our AI literacy resources Building confidence to teach AI in the classroom Can AI support creativity? What educators can learn from creative machine learning Celebrating young tech creators at Coolest Projects Ireland 2026 Start small, dream big with Code Club: Become an Incubator Partner AI is not neutral: What recent research says about bias, identity, and power A day of big ideas at Coolest Projects USA Minnesota 2026 Why localisation matters for AI literacy: Lessons from Uzbekistan Professional development: How to stay ahead in a fast-changing subject What does ‘thinking’ mean now? An astronomical anniversary: Young people’s code heads to the International Space Station
Beyond content: Helping teachers feel ready to teach AI
Catarina Marques · 2026-05-14 · via Raspberry Pi Foundation

We are working with partner organisations around the world to support teachers in building confidence with AI in the classroom through our Experience AI programme. In this guest post, Catarina Marques from our partner TUMO Portugal shares what the organisation is learning from delivering training to educators.

Whenever we run Experience AI training sessions, we keep coming back to the same thing: teachers are not lacking interest in AI, what they are lacking is time. Time to explore the technology and tools, time to talk about them with colleagues, and time to work out what they really mean for their classrooms.

A group of people sat around a table with laptops.

And that matters, because AI is not something schools can just put off until later. It is already here. Students are hearing about it, using it, and forming opinions about it. Teachers are being asked to respond to it now, often while still trying to make sense of it themselves.

More than delivering content

The Experience AI teacher training is about more than educators to a set of resources. It is about helping them feel truly ready to take the Experience AI resources into the classroom and use them effectively with their students.

A group of people sat around a table with laptops.

What we see again and again is that teachers need space to stop and think. AI is moving quickly, and schools do not always have the time or support to keep pace. New tools are developed all the time. Expectations keep shifting. There is a lot of noise, and not always much room to pause and ask: what is actually useful here? What do we need to understand better?

In our experience, that is where real learning starts: not in rushing through information, but in discussing it, debating it, and testing ideas together.

Listening matters

One of the most valuable parts of these training sessions is the part where teachers start talking to each other.

They bring real questions into the room. Which AI tools can actually help with their work? How should they think about ethics? How do they talk about AI safety with students? How do they respond to something that may feel both useful and worrying at the same time?

A group of people sat around a table with laptops.

There is often confusion, and sometimes there is resistance too. That makes sense; this is still new territory for many schools. But there is also a real appetite to learn, especially because support in this area can still feel limited.

That is why listening is such an important part of our training. Teachers need space to reflect, compare experiences, and hear how others are approaching the same challenges. Very often, understanding grows through that process.

Play helps

Another thing we feel strongly about is that the training has to be engaging.

AI can feel intimidating. If the atmosphere is too heavy, it can be easy for people to step back from it. That is why the hands-on and playful side of Experience AI is so important. Team activities, discussion, and even a bit of healthy competition change the energy in the room. People get involved. They relax. They start exploring instead of worrying about getting everything right.

A group of people sat around a table with laptops.

That matters for teachers, and it matters for students too. When teachers experience this kind of learning for themselves, it becomes easier for them to imagine creating it in their own classrooms. Play is not separate from the learning here — it is part of what makes it stick.

Preparing schools for now

For us, this work feels urgent. Schools need the language, confidence, and literacy to engage with AI now, not in a few years’ time.

A group of people standing with laptops.

What teachers need most is not endless hype or more pressure. They need time to explore, time to discuss, time to understand, and time to build confidence. Experience AI has offered a way to begin that process.

If we want young people to engage critically and confidently with AI, we have to start by giving teachers the chance to do the same.

If you want to find out more about Experience AI, visit our website experience-ai.org