Learning
from Practical Applications of AI at Lac Hong University
The
second day of Workshop 1, themed “AI Applications in Quality Assurance in
Higher Education,” held in Ho Chi Minh City and Dong Nai as part of the
InnoAIQA-VN Project (2025–2026) under the DIES – National Multiplication
Training (NMT) Programme, left us with profound impressions as we had the
opportunity to directly observe and learn at Lac Hong University. As a group of
lecturers from Danang University of Medical Technology and Pharmacy, this was
not merely a routine study visit; it was an opportunity for us to gain deeper
insights into the practical role of Artificial Intelligence (AI) in quality
assurance (QA) and quality enhancement (QE) in higher education.
Right
from the beginning of the visit, the sharing session by Dr. Lam Thanh Hien –
Rector of Lac Hong University helped us better understand how a higher
education institution develops strategic directions linked with digital
transformation and AI integration. What impressed us the most was that AI was
not implemented in a fragmented or trend-following manner; instead, it was
systematically integrated into core functions such as academic administration,
quality assurance, scientific research, and student support services. This
approach demonstrates the importance of strategic thinking when adopting
emerging technologies in education.
The
presentation on the learning outcomes measurement system delivered by Dr.
Le Phuong Truong provided us with valuable insights. The use of AI to
collect and analyse data makes the evaluation of learning outcomes more
objective, transparent, and evidence-based. This sparked many reflections on
the potential shift from manual processes toward a data-driven approach in our
own institution’s QA activities.
Our
visit to various learning and research spaces—including the Studio, AI Lab, and
Open Lab—was a highly visual and practical experience. It became clear that
open learning environments with strong technological infrastructure play a
crucial role in motivating both lecturers and students to actively engage with
AI in teaching, learning, and research. This is an indispensable factor for the
effective and sustainable adoption of AI in higher education.
The
afternoon sessions, focusing on AI applications in scientific research and data
analytics, continued to offer substantial value. The use of AI to examine
research novelty, identify research gaps, support academic writing and editing,
and analyse indicators such as dropout rates or course performance demonstrated
how AI can serve as a powerful tool supporting lecturers in both teaching and
research.
At
the end of the second learning day at Lac Hong University, we realized that AI
is not a destination but a means to enhance educational quality when
implemented appropriately. The practical insights gained from this workshop
have become a valuable reference point, enabling us to further reflect on,
propose, and gradually apply suitable AI-based solutions to teaching and
quality assurance at Danang University of Medical Technology and Pharmacy in
the near future.
