GENERAL INFORMATION
TAM title: The role of artificial intelligence in higher education
Type of Event: Webinar
Modality: Online
Country: Kazakhstan
Dates: 27 – 30 December 2024
Participants: The seminar gathered rectors, vice-rectors, deans, programme directors, faculty, researchers, staff of higher education institutions, and Higher Education Reform Experts (HEREs) from across Kazakhstan, all participating online.
THEMES COVERED
- Definitions, opportunities, risks, and threats of AI in higher education
- Institutional policies, ethics, and regulatory models for AI
- Tools and models for AI-enhanced teaching and learning
- AI in research, publications, and scientific work
- Transforming assessment systems in view of AI
- Successful international cases of AI use in universities
- Academic integrity and ethical concerns raised by generative AI
KEY OUTCOMES
During the workshop, participants:
- Explored tools, models, and real case studies illustrating AI-supported teaching and learning
- Reflected on ethical challenges, assessment changes, and academic integrity issues
- Demonstrated strong interest through questions and chat feedback
- Identified the need for clearer institutional guidance and capacity-building on AI use
OVERVIEW
This two-day online TAM focused on the role of Artificial Intelligence in higher education and was delivered through interactive lectures, demonstrations, and discussions. Expert presentations explored the pedagogical and ethical integration of generative AI, current AI developments in Kazakhstan, and international case studies of AI use in universities. The sessions addressed key topics such as AI-driven teaching and learning strategies, co-creation with AI, institutional policies and ethics, and transforming assessment in the context of generative AI.
The methodology combined theoretical insights with practical tools, including activities in Menti and Miro, real-time polling, and reflection prompts. The online platform functioned smoothly, and participants engaged actively through questions, discussions, and appreciative feedback.
THE FOLLOW UP ACTIVITY
Title of the activity: Follow-up Round Table on the TAM Seminar “The Role of AI in Higher Education”
Dates: 30 December 2024
Audience: The round table brought together 212 participants, representing 55 higher education institutions in Kazakhstan and 4 universities from Kyrgyzstan, alongside representatives of the Ministry of Science and Higher Education, national development and research centres, HEREs, and experts. Participants included vice-rectors, deans, department chairs, administrators, faculty members, and researchers actively involved in higher education policy and practice.
Description: The follow-up activity took the form of an online round table organised on the second day of the TAM seminar. Its primary objective was to encourage higher education institutions to develop or revise university-wide policies and regulations supporting the integration of artificial intelligence in higher education. Discussions focused on assessment systems, support mechanisms for faculty, students and researchers, and the ethical, legal and academic integrity dimensions of AI use. The round table also served to formulate recommendations for the Ministry and HEIs on the effective and responsible integration of AI into teaching, learning and research, and to stimulate policy-oriented dialogue among national stakeholders.
ENHANCING IMPACT: PROPOSED NEXT STEPS
- Organize institution-level dissemination sessions led by HEREs or trained staff to spread knowledge gained from the TAM.
- Develop clear institutional guidelines on ethical and pedagogical use of AI, especially regarding academic integrity.
- Expand professional development for academic staff on AI literacy, innovative teaching, and responsible assessment practices.
- Establish communities of practice to support collaboration, resource sharing, and policy feedback on AI integration.
- Continue implementing the national strategy for ethical AI integration, aligned with European approaches.
- Encourage use of short, accessible summaries and curated resources to aid wider institutional engagement.
- Conduct surveys across HEIs to identify priority topics for future TAMs.
RESOURCES AND BACKGROUND MATERIAL
- Maity, S. & Deroy, A. (2024). The Future of Learning in the Age of Generative AI: Automated Question Generation and Assessment with Large Language Models. arXiv preprint arXiv:2410.09576.
- European Commission, Directorate-General for Education, Youth, Sport and Culture. (2022). Ethical guidelines on the use of artificial intelligence (AI) and data in teaching and learning for educators. Publications Office of the European Union. https://data.europa.eu/doi/10.2766/153756
- Ta, R. & Turner Lee, N. (2023). How language gaps constrain generative AI development. Brookings Institution. Retrieved from https://www.brookings.edu/articles/how-language-gaps-constrain-generative-ai-development/
- The Guardian. (2022, 28 November). AI, students and essays: how generative-AI tools threaten academic integrity. Retrieved from https://www.theguardian.com/commentisfree/2022/nov/28/ai-students-essays-cheat-teachers-plagiarism-tech
- Lucariello, K. (2023, 12 July). Time for Class 2023 report shows number one faculty concern: preventing student cheating via AI. Campus Technology. Retrieved from https://campustechnology.com/articles/2023/07/12/time-for-class-2023-report-shows-number-one-faculty-concern-preventing-student-cheating-via-ai.aspx
- Furze, L. (2024, 27 May). Don’t use GenAI to grade student work. Retrieved 27 November 2025, from https://leonfurze.com/2024/05/27/dont-use-genai-to-grade-student-work/
- Watkins, M. (2024). What does “automating feedback” mean? Retrieved 27 November 2025, from https://marcwatkins.substack.com/p/what-does-automating-feedback-mean
- University of Alberta. (n.d.). Academic Integrity and AI Use. Centre for Teaching and Learning. Retrieved 27 November 2025, from https://www.ualberta.ca/en/centre-for-teaching-and-learning/resources/generative-ai/academic-integrity-ai-use/index.html
- Stanford Center for Teaching and Learning / Stanford Teaching Commons. (n.d.). Integrating AI into assignments. In Artificial Intelligence Teaching Guide. Retrieved 27 November 2025, from https://teachingcommons.stanford.edu/teaching-guides/artificial-intelligence-teaching-guide/integrating-ai-assignments
- Nerantzi, C., Abegglen, S., Karatsiori, M. & Martínez-Arboleda, A. (eds.). (2023). 101 creative ideas to use AI in education: A crowdsourced collection. Zenodo. DOI: 10.5281/zenodo.8072950
- Newman, S. (n.d.). Correct a Bad Essay. AI Pedagogy Project, metaLAB (at) Harvard. Retrieved 27 November 2025, from https://aipedagogy.org/assignment/correct-a-bad-essay
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