Target group:
- Academic lecturers and university teachers
- PhD candidates and early-career researchers
- University administrators and academic leaders
- Educational technologists and instructional designers
- E-learning specialists and digital transformation coordinators
- Quality assurance and curriculum development staff
- IT professionals working in higher education institutions
- Other professionals interested in digital and AI-enhanced pedagogy in higher education
Total duration: 100 days
Workload: 180 hours, including:
⁃ e-learning modules
⁃ online classes
⁃ work in research groups
⁃ self-study
⁃ expert-led lessons
⁃ practical workshops
⁃ online meetings and consultations
Research component:
⁃ As part of the internship, participants prepare their own research paper on a selected topic related to intership title
⁃ Participants are given the opportunity to publish their paper in the scientific journal „Polish Interdisciplinary Scientific Review” (ISSN 2720-4138)
Certification:
⁃ Participants receive a printed certificate with an official supplement
⁃ The certificate includes a QR code for authenticity verification
⁃ Successful completion confirms the acquisition of 8 ECTS credits
Remote self-study on the educational platform (e-learning):
- Integrating Artificial Intelligence into Higher Education Teaching: Trends and Practices - 25 hours
- Personalized Learning and Adaptive Technologies: Opportunities for Student Engagement - 20 hours
- Designing Digital Pedagogies for Inclusive and Accessible Learning - 25 hours
- AI in Assessment: Automated Feedback, Grading, and Academic Integrity - 20 hours
Creating and Showcasing Individual Research Projects - 60 hours
Online-lessons and online-meetings:
- Ethical Considerations in AI-Enhanced Education: Bias, Privacy, and Transparency - 10 hours
- Blended and Online Learning Models in the Era of AI - 10 hours
- Data-Driven Decision Making in Higher Education: Analytics and Learning Insights - 5 hours
- Future Perspectives: Preparing Educators and Institutions for AI-Powered Learning - 5 hours
