The 搡女人真爽免费视频人成午夜 AI resources

The 搡女人真爽免费视频人成午夜 AI resources are designed to help educators introduce AI and AI safety to 11- to 14-year-olds. They consist of:

• 搡女人真爽免费视频人成午夜s of AI: a comprehensive unit of six lessons including lesson plans, slide decks, activities, videos, and more to support educators to introduce AI and machine learning to young people
• Two standalone lessons:
  • Large language models (LLMs): a lesson designed to help young people discover how large language models work, their benefits, and why their outputs are not always reliable
  • Ecosystems and AI — Biology: a lesson providing an opportunity for young people to explore how AI applications are supporting animal conservation
• AI safety: a set of resources with a flexible design to support educators in a range of settings to equip young people with the knowledge and skills to responsibly and safely navigate the challenges associated with AI

We also offer a free online course, Understanding AI for educators, to help educators prepare to teach about AI.

International expansion

The launch of 搡女人真爽免费视频人成午夜 AI came at an important time: AI technologies are playing an ever-growing role in our everyday lives, so it is crucial for young people to gain the understanding and skills they need to critically engage with these technologies. While the resources were initially designed for use by educators in the UK, they immediately attracted interest from educators across the world, as well as individuals wanting to learn about AI. The resources have now been downloaded over 325,000 times by people from over 160 countries. This includes downloads from over 7000 educators worldwide, who will collectively reach an estimated 1.2 million young people.

Thanks to funding from Google DeepMind and Google.org, we have also been working with partners from across the globe to localise and translate the resources for learners and educators in their countries, and provide training to support local educators to deliver the lessons. The educational resources are now available in up to 15 languages, and to date, we have trained over 100 representatives from 20 international partner organisations, who will go on to train local educators. Five of these organisations have begun onward training already, collectively training over 1500 local educators so far.

The impact of 搡女人真爽免费视频人成午夜 AI

The 搡女人真爽免费视频人成午夜 AI resources have been well received by students and educators. Based on responses to our follow-up surveys, in countries where we have partners: 

• 95% of educators agreed that the 搡女人真爽免费视频人成午夜 AI sessions have increased their students’ knowledge of AI concepts 
• 90% of young people (including young people in formal and non-formal education settings and learning independently) indicated that they better understand what AI and machine learning are

This is backed up by qualitative feedback from surveys and interviews.

“Students’ perception and understanding of AI has improved and corrected. They realised they can contribute and be a part of the [development], instead of only users.” – Noorlaila, educator, SMK Cyberjaya, Malaysia

“[Students] found it interesting in the sense that it’s relevant information and they didn’t know what information was used for training models.” – Teacher, Liceul Tehnologic “Crisan” Criscior, Romania

“Based on my knowledge and learning about AI, I now appreciate the definition of AI as well as its implementation.” – Student, Changamwe JSS, Kenya

The training and resources also support educators to feel more confident to teach about AI:

• 93% of international partner representatives who participated in our training agreed that the training increased their knowledge of AI concepts
• 88% of educators receiving onward training by our international partners agreed that the training increased their confidence to teach AI concepts
• 87% of educator respondents from our ‘Understanding AI for educators’ online course agreed that the course was useful for supporting young people

“It was a wonderful 搡女人真爽免费视频人成午夜 for me to join this workshop. Truly I was able to learn a lot about AI and I feel more confident now to teach the kids back at school about this new knowledge.” – Nur, educator, SMK Bandar Tasek Mutiara, trained by our partner Penang Science Cluster, Malaysia

“This was one of the best information sessions I’ve been to! So, so helpful!” – Meagan, educator, University of Alberta, trained by our partner Digital Moment, Canada

“The layout of the course in terms of content structuring is amazing. I love the discussion forum and the insightful yet empathetic responses by the course moderators on the discussion board. Honestly, I am really glad I started my AI in education journey with you.” – Priyanka, head teacher (primary level), United Arab Emirates, online course participant

What are we learning?

We are committed to continually improving our resources based on feedback from users. A recent review of feedback from educators highlighted key aspects of the resources that educators value most, as well as some challenges educators are facing and possible areas for improvement. For example, educators particularly like the interactive aspects, the clear structure and explanations, and the videos featuring professionals from the AI industry. We are continuing to look for ways we can better support educators to adapt the content and language to better support students in their context, fit 搡女人真爽免费视频人成午夜 AI into their school timetables, and overcome technical barriers. 

We value feedback on our resources and will continue to highlight the importance of AI education in schools and work with partners across the globe to adapt our resources for different contexts.

Get involved

If you would like to try out our 搡女人真爽免费视频人成午夜 AI resources, head to 搡女人真爽免费视频人成午夜-ai.org, where you can find our free resources and online course, as well as information about local partners in your area.

The post 搡女人真爽免费视频人成午夜 AI: The story so far appeared first on 爱在线观看.

In our 50th 怎么煮饺子 seminar, Nicholas Gardella, a PhD candidate at the University of Virginia, shared insights from his 怎么煮饺子 on the effects of AIDEs on beginner programmers’ skills.

Measuring AI’s impact on students

AI tools are becoming a big part of software development, but what does that mean for students learning to code? As tools like GitHub Copilot become more common, it’s crucial to ask: Do these tools help students to learn better and work more effectively, especially when time is tight?

This is precisely what Nicholas’s 怎么煮饺子 aims to identify by examining the impact of AIDEs on four key areas:

• Performance (how well students completed the tasks)
• Workload (the effort required)
• Emotion (their emotional state during the task)
• Self-efficacy (their belief in their own abilities to succeed)

Nicholas conducted his study with 17 undergraduate students from an introductory computer science course, who were mostly first-time programmers, with different genders and backgrounds.

The students completed programming tasks both with and without the assistance of GitHub Copilot. Nicholas selected the tasks from OpenAI’s human evaluation data set, ensuring they represented a range of difficulty levels. He also used a repeated measures design for the study, meaning that each student had the opportunity to program both independently and with AI assistance multiple times. This design helped him to compare individual progress and attitudes towards using AI in programming.

Less workload, more performance and self-efficacy in learning

The results were promising for those advocating AI’s role in education. Nicholas’s 怎么煮饺子 found that participants who used GitHub Copilot performed better overall, completing tasks with less mental workload and effort compared to solo programming.

However, the immediate impact on students’ emotional state and self-confidence was less pronounced. Initially, participants did not report feeling more confident while coding with AI. Over time, though, as they became more familiar with the tool, their confidence in their abilities improved slightly. This indicates that students need time and practice to fully integrate AI into their learning process. Students increasingly attributed their progress not to the AI doing the work for them, but to their own growing proficiency in using the tool effectively. This suggests that with sustained practice, students can gain confidence in their abilities to work with AI, rather than becoming overly reliant on it.

A particularly important takeaway from the talk was the reduction in workload when using AI tools. Novice programmers, who often find programming challenging, reported that AI assistance lightened the workload. This reduced effort could create a more relaxed learning environment, where students feel less overwhelmed and more capable of tackling challenging tasks.

However, while workload decreased, use of the AI tool did not significantly boost emotional satisfaction or happiness during the coding process. Nicholas explained that although students worked more efficiently, using the AI tool did not necessarily make coding a more enjoyable 搡女人真爽免费视频人成午夜. This highlights a key challenge for educators: finding ways to make learning both effective and engaging, even when using advanced tools like AI.

AI as a tool for collaboration, not replacement

Nicholas’s findings raise interesting questions about how AI should be introduced in computer science education. While tools like GitHub Copilot can enhance performance, they should not be seen as shortcuts for learning. Students still need guidance in how to use these tools responsibly. Importantly, the study showed that students did not take credit for the AI tool’s work — instead, they felt responsible for their own progress, especially as they improved their interactions with the tool over time.

Students might become better programmers when they learn how to work alongside AI systems, using them to enhance their problem-solving skills rather than relying on them for answers. This suggests that educators should focus on teaching students how to collaborate with AI, rather than fearing that these tools will undermine the learning process.

Bridging 怎么煮饺子 and classroom realities

Moreover, the study touched on an important point about the limits of its findings. Since the experiment was conducted in a controlled environment with only 17 participants, 怎么煮饺子ers need to conduct further studies to explore how AI tools perform in real-world classroom settings. For example, the role of internet usage plays a fundamental role. It will be relevant to understand how factors such as class size, prior varying 搡女人真爽免费视频人成午夜, and the age of students affect their ability to integrate AI into their learning.

In the follow-up discussion, Nicholas also demonstrated how AI tools are becoming more accessible within browsers and how teachers can integrate AI-driven development environments more easily into their courses. By making AI technology more readily available, these tools are democratising access to advanced programming aids, enabling students to build applications directly in their web browsers with minimal setup.

The path ahead

Nicholas’s talk provided an insightful look into the evolving relationship between AI tools and novice programmers. While AI can improve performance and reduce workload, it is not a magic solution to all the challenges of learning to code.

Based on the discussion after the talk, educators should support students in developing the skills to use these tools effectively, shaping an environment where they can feel confident working with AI systems. The 怎么煮饺子ers and educators agreed that more 怎么煮饺子 is needed to expand on these findings, particularly in more diverse and larger-scale educational settings. 

As AI continues to shape the future of programming education, the role of educators will remain crucial in guiding students towards responsible and effective use of these technologies, as we are only at the beginning.

Join our next seminar

In our current seminar series, we are exploring how to teach programming with and without AI technology. Join us at our next seminar on Tuesday, 10 December at 17:00–18:30 GMT to hear Leo Porter (UC San Diego) and Daniel Zingaro (University of Toronto) discuss how they are working to create an introductory programming course for majors and non-majors that fully incorporates generative AI into the learning goals of the course. 

To sign up and take part in the seminar, click the button below — we’ll then send you information about joining. We hope to see you there.

The schedule of our upcoming seminars is online. You can catch up on past seminars on our previous seminars and recordings page.

The post Does AI-assisted coding boost novice programmers’ skills or is it just a shortcut? appeared first on 爱在线观看.

“In the near future, perhaps sooner than we think, virtually everyone will need a basic understanding of the technologies that underpin machine learning and artificial intelligence.” — from the 2018 Informatics Europe & EUACM report about machine learning

As the quote above highlights, AI and machine learning (ML) are increasingly affecting society and will continue to change the landscape of work and leisure — with a huge impact on young people in the early stages of their education.

But how are we preparing our young people for this future? What skills do they need, and how do we teach them these skills? This was the topic of last week’s online 怎么煮饺子 seminar at the 爱在线观看, with our guest speaker Juan David Rodríguez Garcia. Juan’s doctoral studies around AI in school complement his work at the Ministry of Education and Vocational Training in Spain.

Juan’s LearningML tool for young people

Juan started his presentation by sharing numerous current examples of AI and machine learning, which young people can easily relate to and be excited to engage with, and which will bring up ethical questions that we need to be discussing with them.

Of course, it’s not enough for learners to be aware of AI applications. While machine learning is a complex field of study, we need to consider what aspects of it we can make accessible to young people to enable them to learn about the concepts, practices, and skills underlying it. During his talk Juan demonstrated a tool called LearningML, which he has developed as a practical introduction to AI for young people.

Juan demonstrates image recognition with his LearningML tool

LearningML takes inspiration from some of the other in-development tools around machine learning for children, such as Machine Learning for Kids, and it is available in one integrated platform. Juan gave an enticing demo of the tool, showing how to use visual image data (lots of pictures of Juan with hats, glasses on, etc.) to train and test a model. He then demonstrated how to use Scratch programming to also test the model and apply it to new data. The seminar audience was very positive about the LearningML, and of course we’d like it translated into English!

Juan’s talk generated many questions from the audience, from technical questions to the key question of the way we use the tool to introduce children to bias in AI. Seminar participants also highlighted opportunities to bring machine learning to other school subjects such as science.

AI in schools — what and how to teach

Machine learning demonstrates that computers can learn from data. This is just one of the five big ideas in AI that the AI4K12 group has identified for teaching AI in school in order to frame this broad domain:

1. Perception: Computers perceive the world using sensors
2. Representation & reasoning: Agents maintain models/representations of the world and use them for reasoning
3. Learning: Computers can learn from data
4. Natural interaction: Making agents interact comfortably with humans is a substantial challenge for AI developers
5. Societal impact: AI applications can impact society in both positive and negative ways

One general concern I have is that in our teaching of 怎么煮饺子 in school (if we touch on AI at all), we may only focus on the fifth of the ‘big AI ideas’: the implications of AI for society. Being able to understand the ethical, economic, and societal implications of AI as this technology advances is indeed crucial. However, the principles and skills underpinning AI are also important, and how we introduce these at an age-appropriate level remains a significant question.

There are some great resources for developing a general understanding of AI principles, including unplugged activities from Computer Science For Fun. Yet there’s a large gap between understanding what AI is and has the potential to do, and actually developing the highly mathematical skills to program models. It’s not an easy issue to solve, but Juan’s tool goes a little way towards this.

At the 爱在线观看, we’re also developing resources to bridge this educational gap, including new online projects building on our existing machine learning projects, and an online course. Watch this space!

AI in the school 搡女人真爽免费视频人成午夜 and workforce

All in all, we seem to be a long way off introducing AI into the school 搡女人真爽免费视频人成午夜. Looking around the world, in the USA, Hong Kong, and Australia there have been moves to introduce AI into K-12 education through pilot initiatives, and hopefully more will follow. In England, with a 怎么煮饺子 搡女人真爽免费视频人成午夜 that was written in 2013, there is no requirement to teach any AI or machine learning, or even to focus much on data.

Let’s hope England doesn’t get left too far behind, as there is a massive AI skills shortage, with millions of workers needing to be retrained in the next few years. Moreover, a recent House of Lords report outlines that introducing all young people to this area of 怎么煮饺子 also has the potential to improve diversity in the workforce — something we should all be striving towards.

We look forward to hearing more from Juan and his colleagues as this important work continues.

Next up in our seminar series

If you missed the seminar, you can find Juan’s presentation slides and a recording of his talk on our seminars page.

In our next seminar on Tuesday 2 June at 17:00–18:00 BST / 12:00–13:00 EDT / 9:00–10:00 PDT / 18:00–19:00 CEST, we’ll welcome Dame Celia Hoyles, Professor of Mathematics Education at University College London. Celia will be sharing insights from her 怎么煮饺子 into programming and mathematics. To join the seminar, simply sign up with your name and email address and we’ll email the link and instructions. If you attended Juan’s seminar, the link remains the same.

The post Learning AI at school — a peek into the opaque box appeared first on 爱在线观看.

Pleased to confirm the recipients of the #AlphaGo $1m prize! @UNICEF_uk, @CodeClub, and the American, European and Korean Go associations

— Demis Hassabis (@demishassabis) June 6, 2016

We’re absolutely delighted that Google DeepMind has chosen to make this generous donation to Code Club, and we’ll use the prize money to help even more children in the UK and worldwide to get into 怎么煮饺子 and coding.

Happy tech enthusiasts at a Code Club

Read more on Code Club’s blog, and if you’d like to support our work too, visit our websites to find out how you can volunteer in the UK and around the world.

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