The Ideathon attracted over 30 student teams who proposed creative ideas to enhance learning experiences with AI. Several solutions were highly praised for their practicality and potential for implementation within the university.
These events not only sparked innovative thinking among students but also motivated faculty to adopt new teaching methods, contributing to the development of a modern, flexible digital learning environment.
Vietnam
United Kingdom
I was genuinely impressed after the training, especially how game-based approaches were used to introduce AI in education. Using games not only made the learning process engaging but also helped me understand how AI can be applied creatively in lesson design. Through interactive simulations and challenges, I learned to use AI tools to build dynamic, student-centered lessons. It was a fun, effective way to explore new technology—and now I feel more confident bringing AI into my classroom.
Using games as a way to learn about AI in education was a game-changer for me. The training didn’t just explain the tools—it let us experience them through playful, hands-on activities. It made complex AI concepts easy to grasp and showed exactly how they can enhance lesson planning and student engagement. I walked away with practical skills, new ideas, and a clear vision of how to make my teaching more interactive and future-ready. Learning through games made the process both meaningful and memorable.
The training completely changed how I see the role of AI in education. By using games as an entry point, the program made the learning process approachable and enjoyable. It wasn’t just theory—we got to experiment, play, and see how AI tools can be integrated into real classroom situations. I discovered practical ways to use AI for lesson planning, student feedback, and even interactive activities. The game-based format kept us engaged and made the experience feel less like training and more like discovery. I’m excited to apply what I’ve learned.
