Lingnan University and the Universidad de la República (University of the Republic, UdelaR), the largest public higher education institution in Uruguay, signed a Memorandum of Understanding (MoU) on 10 February 2026 on Lingnan campus, formally establishing an academic partnership. This is an important step in advancing academic cooperation between Lingnan and universities in South America.
Prof S. Joe Qin, President and Wai Kee Kau Chair Professor of Data Science, welcomes the delegation, introduces them to the university, and explores opportunities for collaboration during the meeting.
Prof Héctor Cancela, President of the UdelaR, and Mr Federico Lage, Consul-General of Uruguay in the Hong Kong SAR, led a delegation to Lingnan University, where they were welcomed by Prof S. Joe Qin, President and Wai Kee Kau Chair Professor of Data Science of Lingnan University, Prof Raymond Chan Hon-fu, Vice-President (Academics) cum Provost and Lam Man Tsan Chair Professor of Scientific Computing, Prof Xin Yao, Vice-President (Research and Innovation) and Tong Tin Sun Chair Professor of Machine Learning, Prof Zhang Dian, Associate Dean of the School of Data Science and Person-in-Charge of the Division of Industrial Data Science, Prof Jean-Michel Morel, Chair Professor of the Division of Industrial Data Science, and Prof Bradley R. Barnes, Special Advisor to President on Internationalization and Director of Global Education.
President S Joe Qin said, “Lingnan University is committed to supporting the vision of the Hong Kong Special Administrative Region of the People’s Republic of China in developing Hong Kong into an international post-secondary education hub and promoting the ‘Study in Hong Kong’ brand. In response to changing times, the University has in recent years integrated artificial intelligence and data science elements across various disciplines, advancing its distinctive ‘Liberal Arts + Technology’ development model. More than 20 per cent of our academic and research staff were recognised by Stanford University in 2025 as being among the world’s top 2% of scientists. We look forward to working with the Universidad de la República to leverage the strengths of both institutions, advancing interdisciplinary research collaboration and developing innovative solutions to pressing global challenges.”
The delegation visits the Lingnan campus and the Lingnan Entrepreneurship Initiative (LEI).
The signing ceremony was chaired by Prof Raymond Chan Hon-fu and Prof Héctor Cancela, and attended by senior representatives of both universities. Prof Chan said “Lingnan University actively establishes partnerships with leading universities worldwide. To date, we have set up academic collaborations with over 280 institutions across Asia, Europe, the Americas and Africa. UdelaR is the oldest public university in Uruguay, and this will open up valuable networks, academic resources, and exchanges between researchers in Lingnan and South America, making the most of both universities’ strengths, and improving knowledge transfer.”
In the MoU, the two universities will establish a framework for academic exchange and cooperation in research, and explore potential areas of collaboration, including the exchange of academic and research staff, possible student exchange, and joint academic research and publication in fields of interest to both. The partnership aims to expand cross-regional academic networks.
The UdelaR delegation toured the Lingnan campus and the Lingnan Entrepreneurship Initiative (LEI), gaining an understanding of the University’s innovation and entrepreneurship ecosystem, which encourages faculty and students from different disciplines to design innovative humanitarian technologies together, and teaches students to address social issues through pivotal research.
Lingnan University and the Universidad de la República (University of the Republic, Udelar) sign a Memorandum of Understanding. The ceremony is officiated by Prof Raymond Chan Hon-fu, Vice-President (Academics) cum Provost and Lam Man Tsan Chair Professor of Scientific Computing of Lingnan University (left), and Prof Héctor Cancela, President of the Udelar (right), with senior representatives of both universities attending the event.
Lingnan University has made considerable progress in recent years, and came first globally under the United Nations Sustainable Development Goal SDG 4 (Quality Education) in the Times Higher Education (THE) World University Impact Rankings 2025, the first university in the Hong Kong SAR to achieve a global first in any UN SDG. Lingnan was also in the Times Higher Education (THE) World University Rankings 2026 for the first time, one of the top 301–350 universities worldwide out of 2,191 institutions, its international outlook rated 47th. Universidad de la República (University of the Republic, Udelar) is consistently ranked as the top university in Uruguay and a premier public institution in Latin America, holding a #650 position in the 2026 QS World University Rankings.
The evolution of higher education in the digital era has attracted global attention, and Prof S. Joe Qin, President and Wai Kee Kau Chair Professor of Data Science at Lingnan University, recently published a paper titled “AI for education: The digital transformation of a liberal arts institution – implementation at Lingnan University” in a leading international journal Computers and Education: Artificial Intelligence. The paper’s in-depth analysis of the role artificial intelligence (AI) plays in education uses Lingnan as a case study to examine the success of its pilot initiatives.
Prof Qin notes that higher education is undergoing an “AI revolution”, not merely reinforcing teaching with technology, but driving the “digital-intelligent transformation” of both teachers and students. Future curricula will shift from a traditional emphasis on memorisation and content mastery towards the application and navigation of knowledge, and students will be trained in prompt engineering in order to validate outputs generated by generative AI, and understand the ethical implications of such automated systems.
At the pedagogical level, repetitive tasks such as administrative duties, classroom management, and marking assignments will increasingly be handled by AI, allowing educators to focus more on their primary role of instruction and mentorship. This shift enables teachers to expand stronger data analytics and technological integration capabilities, permitting them to make higher-level decisions based on data, and to advise students more effectively.
Using Lingnan University as an example, Prof Qin highlights the development and application of a “Generative AI Assessment System (GAAS)”, an AI-driven learning platform capable of examining student performance in real time and making individual recommendations. Final oversight remains with teachers, so that this moves away from a one-size-fits-all model, and lecturers can shape instruction to individual progress and needs. The system was awarded a Bronze Medal at the International Exhibition of Inventions Geneva in March this year.
The pilot study shows that the system reduces the time spent on mechanical marking significantly. Traditionally, students often wait weeks for a response, whereas the new system enables a rapid turnaround, improving student engagement. It also ensures consistent application of marking criteria, and minimises discrepancies caused by human fatigue or bias. By delegating mechanical tasks such as grammar and structural checks to AI, instructors can focus entirely on students’ arguments and intellectual abilities, leading to better guidance.
Prof Qin stresses that educators are not replaceable. “At its core, education is a social and emotional process, and AI is currently unable to perceive student frustration, demonstrate empathy, mediate peer conflicts, or give emotional support. These forms of ‘emotional value guidance’ are inherently human and beyond the capacity of algorithms. Students must shift from being passive consumers of AI-generated content to active editors and critical thinkers. For example, they should debate AI, identify flaws in logic, and generate multiple solutions using AI, and then evaluate and rank them independently. The key lies in asking the right questions and appraising the quality and accuracy of the responses.”
The paper also notes that, given AI’s strength in processing large volumes of information, tasks that require high accuracy and speed but involve limited complex judgement are more susceptible to automation. These include data entry, basic translation, routine programming, software operation, and format-driven content generation, all repetitive and rule-based cognitive tasks. Such changes are more likely to replace specific tasks than entire professions. For instance, legal assistants may spend less time gathering information, and more on strategic legal work.
Prof Qin explains that as anyone can now create grammatically correct text or digital images within seconds, technology itself is no longer in short supply. What becomes truly beneficial is human intent, philosophical thinking, and flair in evoking emotional resonance. In an age saturated with generated content, whole-person education focusing on critical thinking and authentic human expression will become the most important standard and benchmark.
He also points out that the widespread adoption of AI will increase the importance of interdisciplinary learning. “Cognitive flexibility, complex problem-solving skills, and emotional intelligence - all fostered by whole-person education - provide students with a solid foundation so they can remain adaptable in rapidly evolving technological environments. By integrating knowledge across disciplines such as history, philosophy, and science - in essence, learning how to learn - students can continue to grow amid constant change.”
The paper expresses how disciplines such as literature, history, and philosophy offer an “ethical perspective”, and how the study of classical works, particularly those rooted in the Chinese cultural heritage, is essential for independent thinking. By understanding a historical context and moral framework, students can apply AI more judiciously, minimise algorithmic bias, and ultimately take a leading role in shaping technological progress.
Read the full study here: AI for education: The digital transformation of a liberal arts institution – implementation at Lingnan University
Prof S. Joe Qin, President and Wai Kee Kau Chair Professor of Data Science of Lingnan University, has published a paper titled AI for education in a leading international journal.
