WP3
DEVELOPMENT OF AI-BASED EDUCATIONAL SOLUTIONS
January 2027 – March 2028
Transforming research into practical educational technology
WP3 develops the core technological components of CYBERSAFE.
The project will create an integrated AI-supported cyber safety system designed to help schools strengthen prevention and digital-risk education.
3.1 Technical Specification Document
January – April 2027
The technical architecture and functional requirements of the CYBERSAFE system will be defined on the basis of WP2 findings.
3.2 AI-Powered Educational Mobile Application
January – August 2027
An interactive educational environment will support students and teachers through:
age-adapted learning activities;
cyber-safety modules;
structured reflection;
digital-risk scenarios;
prevention-oriented educational content.
3.3 AI-Driven Virtual Case Study Generator
March – June 2027
The system will generate realistic and age-appropriate scenarios that teachers can use for classroom discussion and experiential learning.
Examples may address:
cyberbullying · grooming · sexting · privacy · manipulation · responsible online behaviour
3.4 Cyber Safety Analysis Engine
May – September 2027
The analysis engine will process anonymised and aggregated information to identify recurring digital-risk themes and support school-level prevention planning.
It will not be designed for surveillance or individual student scoring.
3.5 Testing & Optimisation
September – October 2027
Technical and pedagogical testing will identify usability issues, technical problems and areas requiring refinement.
3.6 Distribution & Implementation in Partner Schools
November 2027 – January 2028
The toolkit will be introduced into participating schools in preparation for full implementation.
3.7 Final Release
February – March 2028
Feedback from testing and pilot use will support the release of the final validated version of the CYBERSAFE system.
PILOT ROUND 1
The initial testing phase is expected to involve:
8–10 schools
at least 50 teachers
approximately 300–400 students
Feedback will directly inform optimisation of the tools.
WP3 RESULT
A functional, tested and scalable AI-supported Cyber Safety Toolkit for school-based prevention.