During the sharing, Dr. Cheung emphasized the convenience of cloud-based services like Colab, which eliminate the need for specialized software or hardware setups when utilizing AI frameworks and libraries. This enables teachers to easily share well-documented, reproducible, and executable examples with their students, greatly enhancing the teaching and learning experience of GenAI tools, including the Large Language Model (LLM).
Additionally, by enabling natural language conversations with the Large Language Model (LLM), the language barrier between users and GenAI tools is significantly reduced, making GenAI more accessible to both teachers and students. Users are no longer relying on the computer programming languages to instruct the LLM to perform various tasks.
Instead, they can focus on learning prompt engineering strategies and tactics to achieve better results. Dr. Cheung illustrated the practicality of using ChatGPT and LLM in teaching programming concepts by sharing several examples that showcased the usefulness of LLM in supporting students’ learning.
The participants of the sharing seminar displayed great interest in the topic and actively engaged in discussions, posing numerous questions throughout the sharing session.
