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Using AI to support coding

Smart AI Innovators

Actors involved

Teachers and students

AI technologies used

LOBE (Microsoft)

Planned activities

The project aims to design, develop and pilot-test a comprehensive and ready-to- implement smart AI innovators toolkit which will support VET trainers/leaders to introduce the eco-system of AI technologies supported with advanced digital skills such as coding and Video Game Development using unity engine in school curricula based on a multi-disciplinary STEAM oriented approach on real-life scenarios which focuses on the use of DIGITAL INNOVATION for SOCIAL CHANGE.
Now they ARE starting the pilot phase with two courses, telecommunications and computer systems, and computer systems administration, and the result of the pilot will be the design of an application (Python or Javascript) for object recognition. They work based on challenges/projects and in teams (they follow the Ethazi methodology) and the team that does the best will have the opportunity to collaborate with students from other participating schools for a week.

Results

The result of the pilot will be the design of an application (Python or Javascript) for object recognition. Ideally, according to them, the application could be extended to other uses. The team that does the best will have the opportunity to collaborate with students from other participating schools for a week.

Project origin

According to the aim of the project: to thrive in a technology-driven economy, VET trainers, educators, workers, but perhaps above all ‘the lockdown generation’ whose education and employment prospects have been affected due to the pandemic, will need to be digitally skilled and confident to succeed in a rapidly changing environment and adapt to new and emerging technologies.
In the case of this vocational training centre, the idea came from the innovation department and some teachers, because they were concerned about starting to use and familiarize themselves with the use of AI.

Lesson planning

1 course of both, the two groups get together. mixed teams are formed and work a few hours each week to develop an application that recognizes objects in an image.

Technical requirements

  • Microsoft LOBE
  • Pyton

External stakeholders

Sector companies

Links to external resources

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This project has been funded with support from the European Commission. This publication [communication] reflects the views only of the author, and the Commission cannot be held responsible for any use which may be made of the information contained therein.