Displaying 148 resources
Video/Webinars
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Professional development resources for teachers/educators
Tutorial/How To/Guides
Video/Webinars
Teach Kids Robotics – Free Teaching Resources
Provides lesson slides and videos on various robotics topics, suitable for middle to high school students.
Online Course
Professional development resources for teachers/educators
Tutorial/How To/Guides
IBM SkillsBuild – Data Science Courses
Provides free courses on data fundamentals and data science foundations, along with educator resources for lesson planning.
Online Course
Professional development resources for teachers/educators
Tutorial/How To/Guides
OpenAI's Free AI Training Course for Teachers
People around the world are embracing generative AI to solve complex problems and enhance creativity, productivity, and learning.
Professional development resources for teachers/educators
Software resources
Brisk Teaching: Free AI Tools for Teachers
A Chrome and Edge extension that assists teachers with curriculum development, feedback generation, and differentiation. Brisk ensures student-safe AI usage and provides real-time visibility into its application in classrooms.
Article/Books/eBooks
Digital environment – Version 1.0
This is deliverable 1.2 of the AI4REALNET project.
Other
Communication and dissemination monitoring phase 1
This is deliverable 5.3 of the AI4REALNET project. This document provides an overview of the work developed so far in terms of communication and dissemination activities of the project, analysing the communication and the dissemination plans.
Other
Exploitation plan and strategy phase 2
This is deliverable 5.4 of the AI4REALNET project. This document outlines how AI4REALNET’s results will be brought to market, ensuring widespread adoption, long-term sustainability, and maximising the potential for project perpetuation.
Article/Books/eBooks
AI fundamental blocks – beta release
This is the deliverable 2.2 of the AI4REALNET project. This work package objective consists on developing the AI fundamental blocks for augmented decision-making, namely novel AI algorithms for large-scale sequential decision-making problems.
