Plenary: AI Technology and Higher Education

Tuesday 21 October 2025
14:00 – 15:00
Thaksin University

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The ‘Glocalisation’: Functional Role of Higher Education from Local to Global

Sub-themes in focus: AI Technology and Higher Education: “Shaping Higher Education with AI: Opportunities, Challenges, and Next Steps for LLMs”

What: Roundtable Discussion: Plenary Session

Overview: In these sessions we will explore the sub-themes for the Congress through a range of short presentations leading into round table discussions.

Each parallel session will have a Chair to facilitate the discussion and we hope the conversations might spark areas for future WTUN collaboration and workstream developments.

Chair: Dr N Manoharan, Director – Projects & International Affairs, Hindustan Institute of Technology and Science.

Speakers:

• Dr. Shubhasree Shankar, Deputy Director, Projects, Research and Collaborations
• Ms Tanya Sharma, Director, Partnerships and Research, International Relations, Kalinga Institute of Industrial Technology (KIIT)
• Professor Masaomi Kimura, College of Engineering, Computer and Communications Engineering, Shibaura Institute of Technology

Joining Details:

Online: https://thaksin.webex.com/thaksin/j.php?MTID=mb8078a8d7bde2930c0b90b6bd7207eff

Meeting number: 2550 640 7422

Meeting password: 1234

 

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Dr. Shubhasree Shankar andMs Tanya Sharma

‘Harnessing the Power of LLMs: Building Responsible, Industry-Integrated AI Ecosystems in Higher Education — The KIIT Experience’

Abstract: With the rapid evolution of Artificial Intelligence, particularly Large Language Models are transforming research workflows, administrative efficiency, and student engagement but the challenge lies in adopting these technologies responsibly — ensuring accuracy, ethical use, inclusivity, and data privacy.

A brief description on KIIT Deemed to be University’s multi-dimensional strengths in Artificial Intelligence and Machine Learning will illustrate the pedagogy adopted and its impact on learning. Details of Institutional initiatives such as the RespAI Lab, AI and ML-focused academic programs, research and development projects and faculty development programs will be illustrated as examples.

A unique dimension of KIIT’s leadership is its Technology Business Incubator (KIIT-TBI) — one of India’s most dynamic university-based incubation ecosystems. Through TBI, KIIT actively promotes AI-driven start-ups, industry-linked R&D, and technology translation in collaboration with corporate partners, government agencies, and international institutions. These academia–industry interfaces enable applied experimentation with AI tools and LLMs for diverse sectors, including education technology, healthcare, and sustainability.

As a successful model of collaboration, KIIT can be considered as a case study in how higher education institutions can bridge academic research, industry innovation, and ethical governance to shape the responsible future of AI in learning that universities can emulate to embed LLMs across teaching, research, and administration.

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Professor Masaomi Kimura

‘Deep Learning Assessment in Higher Education: Case Studies’

Abstract: With the growing availability of educational data, deep learning techniques (and large language model, LLM) have emerged as a powerful approach to enhancing assessment practices in higher education. In my presentation, I introduce deep learning–based methods designed to support automated and data-driven assessment of student performance and learning outcomes. Through case studies, we demonstrate how deep learning techniques can be applied to analyze complex educational datasets, providing insights beyond traditional evaluation methods, as well as their related challenges.

Join the session