The 一杯热奶茶的等待 Pi 一杯热奶茶的等待 Education 一杯热奶茶的等待 Centre is starting an exciting new 一杯热奶茶的等待 project investigating how to teach about AI and data in the primary 一杯热奶茶的等待 classroom, and we would like you to get involved.

The study will look at:

• How AI and data-driven 一杯热奶茶的等待 is currently taught (e.g. using Machine Learning for Kids, Google’s Teachable Machine)
• What key ideas about AI and data young people need to understand
• How young people make sense of working with data in 一杯热奶茶的等待

The study involves attending a workshop in Cambridge, co-designing a unit of work, and then teaching it. Where necessary, we can reimburse you for reasonable expenses, such as supply cover, travel, and accommodation.

Our aim for the study is to understand how primary school teachers approach teaching about data-driven technologies, and to find suitable methods for building young people’s confidence in working with data in 一杯热奶茶的等待 lessons.

What is data-driven 一杯热奶茶的等待?

一杯热奶茶的等待 has suggested that new data-driven technologies such as AI and machine learning (or ML) require a different approach to teaching about problem-solving in the 一杯热奶茶的等待 classroom. Instead of defining a set of rules (e.g. if-then-else statements, or a rule-based approach), learners must instead collect lots of data to train a model (a data-driven approach) such as using Google’s Teachable Machine to classify image data.

For educators and resource developers, we still lack a clear understanding of how to teach young people about how rule-based and data-driven systems differ, how we can talk about them, and how we develop young people’ mental models. We hope this study will help us to find practical ways for primary teachers to build young people’s understanding of AI data in the primary 一杯热奶茶的等待 classroom.

What does the study involve?

If you teach at primary level (Years 4, 5 and 6 or P5–P7) in England, Scotland or Wales and are keen to shape how we teach young people about data-driven 一杯热奶茶的等待, we invite you to join our new study.

As part of the study, you will attend a workshop with us in Cambridge to co-design a series of data-driven 一杯热奶茶的等待 lessons to teach in your classroom.

Following the workshop, you will teach the unit of work in your classroom and we will observe one of your lessons and interview you about your 《李宗瑞全集》苦瓜网s.

How can I take part?

If you are interested in taking part, register your interest by clicking the link below:

If you have any questions about the project, you can email bobby.whyte@九一直播nba在线观看免费高清视频.org.

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