📅 Thursday, 22 May 2025 | 🕒 13:30–14:45 (ICT)
📍 Holiday Inn Bangkok & Online Streaming
The Academic Leadership Forum at the MakeLearn, TIIM & PIConf International Conference 2025 invites participants to engage in an in-depth discussion on how Artificial Intelligence (AI) is reshaping global higher education.
Under the title:
“Using Artificial Intelligence to Support Higher Education’s Development: Opportunities and Key Takeaways,”
the session gathers top academic leaders from multiple continents to reflect on urgent innovations and challenges.
🔹 Moderator:
Prof. Bordin Rassameethes, Kasetsart University, Thailand
Former Acting Deputy Secretary General, Southern Border Provinces Administrative Centre
🔹 Panelists:
- Prof. Ts. Dr. Keng-Boon Ooi – UCSI University, Malaysia
- Prof. David Vannozzi – Multiversity Group, Malta
- Prof. Dušan Lesjak – University of Primorska & ISSBS, Slovenia
- Prof. Joseph Shevel – Galilee International Management Institute, Israel
- Prof. Agnieszka Sitko-Lutek – Maria Curie-Skłodowska University, Poland
🔍 Topics to be explored:
- AI’s role in academic innovation and operational efficiency
- Personalised learning and stakeholder value
- Capacity building for faculty and staff
- Institutional readiness and digital infrastructure
- Ethics, job security, and inclusiveness in AI-driven environments
This forum aims to inspire actionable insights and initiate collaborations toward responsible and transformative AI integration in higher education.
Abstract: Accelerated innovation, as a dynamic process that focuses on timely developing and implementing solutions for complex challenges, is currently needed for higher education institutions or HEIs. Faced with changing expectations from the learners, skill gaps for employability, a need to improve workflows and efficiency, and financial constraints, HEIs need to recognise the opportunities and potential benefits (as well as possible shortcomings) of integrating Artificial Intelligence or AI to achieve accelerated innovation. In other words, AI technologies can impact operational efficiency and service quality. What are the concrete benefits from AI? Has AI brought more equity and inclusiveness to HEIs? Has AI resulted in value-added and personalized services to HEIs’ stakeholders, especially the learners? What are the key lessons on preparing infrastructure support when adapting AI, as well as capacity development for staff and faculty members? Have prevailing academic paradigms, such as course design, content development, idea generation, learning activities, and assessment, significantly changed in a meaningful way because of AI? What should an accepted framework look like when using AI for academic work? Has the use of AI affected the job security of staff and faculty members? These are some of ongoing questions that need to be brought into the open with strong insights.
