Objective: Raise awareness among academics and students about the importance of ethical AI and data use in education.

Key Activities:

• Producing reports from the sessions to guide course improvements.
• Conducting participatory analysis of existing syllabi and teaching practices.
• Organizing training sessions with 8–20 academics and 80–200 students.

Objective: Develop a conceptual framework to support the integration of an ethical technology (ETH-TECH) approach in higher education.

Key Activities:

• Creating data visualizations to facilitate dialogue on current gaps and future challenges.
• Designing a conceptual framework to assess the ethical integration of AI and data in educational programs.
• Developing self-assessment tools for institutions and educators.

Objective: Provide Open Educational Resources (OER) to integrate the ETH-TECH approach into initial teacher training programs.

Key Activities:

• Building a digital repository for sharing and accessing resources.
• Designing and developing OER covering the equivalent of 25 learning hours (1 ECTS).
• Testing OER through pilot workshops and participatory review sessions.

Objective: Validate the ETH-TECH framework and OER through stakeholder engagement.

Key Activities:

• Revising and optimizing materials based on the results of the educathons.
• Organizing 8 educathons involving students, faculty, industry stakeholders, and citizens.
• Collecting qualitative and quantitative feedback during participatory sessions.

Objective: Provide strategic guidelines to support the integration of the ETH-TECH approach in educational and institutional policies.

Key Activities:

• Developing a roadmap based on the results of participatory validation and awareness-raising sessions.
• Identifying key actions to promote the ethical use of AI and data in education, aligned with European regulations such as GDPR and the AI Act.
• Engaging policymakers through presentation events, workshops, and strategic documents.

Objective: Create an accessible and dynamic platform to share updates, reflections, and insights on the ETH-TECH project with a broad audience.

Key Activities:

• Developing a dedicated blog section on the project website.
• Publishing regular articles on topics such as:
  • Ethical AI practices in education.
  • Updates on project progress and results.
  • Insights from Awareness Raising Sessions (ARS) and educathons.
• Engaging contributions from project partners, including researchers, educators, and stakeholders.

Objective: Provide an engaging audio format to reach diverse audiences and foster discussions around the ethical use of AI and data in education.

Key Activities:

• Producing a podcast series aligned with the project’s themes, featuring:
  • Interviews with experts in AI ethics, education, and policy.
  • Testimonials from participants in educathons and ARS.
  • Discussion of best practices and challenges in integrating ethical AI into teaching.
• Publishing episodes on popular podcast platforms (e.g., Spotify, Apple Podcasts), social media, and through dissemination events.