On the frontline of AI: MIT graduates serve people with knowledge learnt from their programmes

Community Voices is a space where readers can share their thoughts with other members of the FLASS community. We welcome submissions on education-related topics, inspirational life experiences, heartwarming stories that took place at EdUHK, and anything else you believe would be a meaningful contribution.

This issue of FLASS FORWARD features contributions from two graduates of the Bachelor of Science (Honours) in Artificial Intelligence and Educational Technology (BSc(AI&EdTech) Programme, and a current student of the Master of Science in Artificial Intelligence and Educational Technology (MSc(AI&EdTech)) programme, both offered by the Department of Mathematics and Information Technology. They are grateful to the programmes for teaching them not only hard knowledge in neural networks, data mining, and pedagogy, but also for the guidance their teachers gave in how to apply this knowledge to solving real-life problems.

Mr Luqman HAMZA, Mr Kwok Tsz-him, Mr Tony Liu Tong

I am currently studying for the Master of Science in Artificial Intelligence and Educational Technology (MSc(AI&EdTech)) programme to continue my academic and professional development at the intersection of artificial intelligence, educational technology, and applied innovation. Alongside my postgraduate studies, I am actively engaged in developing AI-driven educational prototypes, with a particular focus on generative AI, learning environment design, and applied programming for educational contexts. The MSc(AI&EdTech) programme, which has provided me with a strong foundation in both pedagogical theory and technical implementation, has helped me a lot in these development works.

The programme has been instrumental in preparing me for my current path by strengthening my computational thinking, research literacy, and design-oriented mindset. Courses such as Artificial Intelligence in Education and Design of Innovative Learning Environments with Technology have enabled me to critically evaluate how AI can be responsibly integrated into teaching and learning, while modules like Applied Programming Lab with Python enhanced my ability to prototype and test functional solutions.

Moreover, the programme emphasised ethical considerations, research rigour, and real-world applicability, which proved essential during my participation in the AI in Education Competition 2025. Overall, the programme has equipped me with the interdisciplinary skills, confidence, and professional perspective needed to pursue future opportunities in AI-enhanced education, research, and innovation-driven initiatives.

The BSc(AI&EdTech) programme provided me with a strong foundation in critical thinking, lesson design, and AI adoption. This equipped me well for a career in the education sector.

During my studies, I was honoured to participate in the “Little Safflower” project as an internship STEM tutor. I taught secondary students how to design workable prototypes, discussed adoptable technologies with them, and helped them address user pain points. The programme’s courses enriched my knowledge of educational technologies, enabling me to inspire students to develop projects in diverse ways.

I learnt that being a STEM tutor means more than teaching knowledge—students need to learn how to apply STEM knowledge in their everyday lives.

Having hands-on teaching experience prepared me for my career. Now, I am a STEM tutor at Makerholic Limited, where I design and co-teach a series of IoT lessons with my colleagues. The group assignments during my studies enhanced my soft skills in communication, teamwork, and problem-solving.

I am immensely grateful for the opportunities and support I received from the BSc(AI&EdTech) programme.

I come from Tianjin, China, and I hold a bachelor’s degree in Electrical Engineering and Automation. In 2024, I embarked on the Master of Science programme in Artificial Intelligence and Educational Technology (MSc(AI&EdTech)) programme at EdUHK. The programme is designed to integrate AI into education and develop applications that enhance learning experiences.

Over the year, I have completed systematic coursework in software and data science, covering technical subjects such as neural networks and data mining, alongside interdisciplinary studies in new media. I also learnt a lot in my role as a student helper, which strengthened my practical skills.

After completing the MSc(AI&EdTech) programme, I had the opportunity to join MIT EdUHK as a research assistant. For the past four months, under the guidance of Dr Nicole Yang Yin, I have grown considerably, from constructing technical platforms to conducting literature reviews. I feel fortunate to continue collaborating with such an inspiring mentor and look forward to contributing to both technological and academic progress in education at EdUHK.