AI in Higher EDU: AI-Powered Teaching Guidance for Educators

Project objective

The AI in Higher EDU project aims to revolutionize teaching methodologies by integrating Artificial Intelligence (AI) into higher education. The main objectives include:

• Facilitating international collaboration between universities and AI experts to develop modern educational solutions.

• Enhancing pedagogical skills of academic teachers through the implementation of AI tools.

• Preparing future educators to effectively use AI in teaching.

• Creating innovative AI-driven teaching methods that support personalized learning.

• Promoting ethical and transparent AI usage in education.

Target group

• Academic teachers and lecturers in higher education institutions.
• Pedagogy students who will become future educators.
• Researchers and experts in innovative teaching methodologies and AI.
• Higher education institutions interested in integrating AI into their teaching practices.
• Policymakers responsible for educational strategies and policies.

Project results

As a result of the project, the following outcomes will be achieved:

1. AI-powered tools to support academic teaching.
2. Training modules for educators on integrating AI into teaching practices.
3. Pilot implementations of AI in classrooms to test and improve solutions.
4. A multimedia knowledge-sharing platform, including educational materials, videos, podcasts, and case studies.
5. Ethical guidelines ensuring fair, transparent, and privacy-oriented AI usage in education.
6. An online resource repository, providing open-access materials on AI in education.

Added value

The project will bring significant value to higher education by:

• Raising ethical awareness, ensuring responsible AI integration in education.

• Personalizing the learning experience, adapting content to students’ individual needs.

• Enhancing educators’ digital competencies, equipping them with AI-based tools.

• Increasing student engagement and motivation through innovative teaching methods.

• Creating an international collaboration network, enabling knowledge exchange and best practices among universities.

Planned activities

The project consists of the following key activities:

1. Analyzing current teaching methodologies and AI integration possibilities in higher education.
2. Developing training programs for academic staff and pedagogy students.
3. Pilot testing AI applications in education, gathering feedback, and refining solutions.
4. Producing and disseminating educational materials, including videos, podcasts, and online courses.
5. Developing ethical guidelines and an online repository of AI best practices in education.
6. Disseminating project results through conferences, publications, and educational events.