TAM Report / Kosovo - Artificial Intelligence Tools in HE

GENERAL INFORMATION

TAM title: Integration of Artificial Intelligence Tools in Higher Education

Type of Event: Seminar/ training

Modality: Online

Country: Kosovo

Dates: 26–27 June 2025

Participants: A total of 75 participants attended the online seminar, including academic staff from public and private higher education institutions in Kosovo, university leadership, members of the HERE team, researchers, and policy makers from the Ministry of Education, Science, Technology and Innovation, as well as representatives of EU-related bodies.

THEMES COVERED

• Integration of generative AI in teaching and learning
• Pedagogical models supported by AI (inquiry-based, constructivist, scaffolded learning)
• AI-supported and AI-driven assessment practices
• Ethical issues, academic integrity, bias, and transparency in AI use
• Institutional readiness and strategies for AI adoption in higher education
• AI literacy for educators and students

KEY OUTCOMES

During the workshop, participants:

• Developed increased awareness of the pedagogical, ethical, and institutional implications of integrating generative AI in higher education.
  • Examined innovative teaching and assessment models adapted to AI-supported learning environments.
  • Reflected on challenges related to academic integrity, bias, transparency, and responsible AI use.
  • Recognized the need for structured institutional strategies and capacity-building to support ethical and inclusive AI adoption.

OVERVIEW

The two-day online TAM seminar focused on raising awareness and building capacity for the responsible integration of artificial intelligence tools in higher education in Kosovo. The activities consisted of expert-led online sessions combining presentations, case studies, and interactive elements such as real-time polling and reflective questions. The first day addressed the role of generative AI in reshaping pedagogy, curriculum design, adaptive learning, and feedback mechanisms, highlighting how students, educators, and institutions currently position themselves in relation to AI.

The second day concentrated on assessment in the context of AI, examining how generative AI challenges traditional evaluation methods. Topics included AI-supported assessment models, ethical considerations, academic integrity, and innovative alternatives such as AI-enhanced rubrics, oral examinations, and student-led assessment design. The sessions were grounded in research, international reports, and practical examples, encouraging participants to critically reflect on opportunities and risks and to consider institutional and national strategies for AI integration.

THE FOLLOW UP ACTIVITY

Title of the activity: Policy Brief on Advancing AI Integration in Higher Education

Dates: November 2025

Audience: The policy brief targeted higher education policymakers, university leaders, academic staff, quality assurance agencies, and national ministries responsible for education and digital transformation, as well as regional stakeholders across the Western Balkans.

Description: The follow-up activity focused on the preparation and dissemination of a structured policy brief examining how artificial intelligence can be effectively, ethically, and equitably integrated into higher education systems. The activity involved analysing current practices, identifying institutional and policy-level challenges, and outlining strategic actions for AI integration in teaching, learning, assessment, and governance. The policy brief aimed to support informed decision-making, guide national and institutional strategies, and contribute to ongoing policy discussions on digital transformation in higher education.

ENHANCING IMPACT: PROPOSED NEXT STEPS

• Develop a national strategy or roadmap for the ethical and pedagogical integration of AI in higher education.
• Establish institutional policies and guidelines addressing academic integrity, data privacy, and transparency in AI-supported teaching and assessment.
• Provide structured professional development and capacity-building programmes to strengthen AI literacy among academic staff.
• Rethink assessment practices by promoting AI-resilient and innovative evaluation methods aligned with learning outcomes.
• Support interdisciplinary collaboration and communities of practice to exchange experiences and good practices related to AI use.
• Align AI integration efforts with quality assurance frameworks and institutional development strategies.
• Promote inclusive and equitable access to AI tools and digital infrastructure across higher education institutions.

RESOURCES AND BACKGROUND MATERIAL

• U.S. Copyright Office (2025) Copyright and Artificial Intelligence, Part 2: Copyrightability. Washington, DC: U.S. Copyright Office.
  Available at: https://www.copyright.gov/ai/Copyright-and-Artificial-Intelligence-Part-2-Copyrightability-Report.pdf
• Hosseini, D. (2023) Generative AI: A problematic illustration of the intersections of racialized gender, race & ethnicity. Available at: https://www.dustinhosseini.com/blog/2023/08/08/generative-ai-a-problematic-illustration-of-the-intersections-of-racialized-gender-race-ethnicity
• Blease, C., Torous, J., Tikkanen, R., Eichstaedt, J.C., Klitzman, R. and Thibault, G. (2024)
  ‘Expressing stigma and inappropriate responses prevents LLMs from safely replacing mental health providers’, npj Mental Health Research, 3, Article 16. Available at: https://www.researchgate.net/publication/392936551_Expressing_stigma_and_inappropriate_responses_prevents_LLMs_from_safely_replacing_mental_health_providers