Frieda KO


Hong Kong Institute of Vocational Education, Hong Kong


Assistant Lecturer




Exploring the Potential of GPT as a Tool for creating Teaching and Learning Packages
Frieda KO

Recent advances in artificial intelligence (AI) have led to the development of chatbots that can generate natural language responses to user queries. One such chatbot is ChatGPT, which is based on the GPT (Generative Pre-trained Transformer) language model. ChatGPT has been used in a variety of applications, including customer service, language translation, and content generation. Researchers have explored the use of ChatGPT to generate Teaching and Learning Packages (TLPs) automatically. ChatGPT can analyze a set of course materials and generate a TLP that is tailored to the needs of students which helps to reduce the time cost and prevent human errors. It can also help to transform an existing question bank in text into an online Moodle quiz at once, therefore, saving a lot of effort adjusting the layout and other settings. ChatGPT may act as a tool to help generating TLPs while must of the ideas are created by educators.
This paper explores the use of ChatGPT, to design and generate TLPs. The paper discusses the benefits and challenges of using AI-generated TLPs, which include notes, worksheets, and online quizzes. The findings are then discussed in terms of the benefits and challenges of using AI-generated TLPs in teaching and learning. The conclusions include a discussion of the limitations of the study and suggestions for future research directions in this area.
It is suggested that ChatGPT generated TLPs have the potential to enhance teaching and learning experiences by saving for time cost for creating TLPs. However, there are limitations to the use of AI, such as ensuring that the content generated is accurate and reliable. Moreover, TLPs typically include a collection of resources such as lecture notes, reading materials, videos, and assessments, all related to a specific topic or learning objective, but ChatGPT can only provide text content. The paper concludes by suggesting future research directions in the field of AI-generated TLPs.

Teaching and Learning
Terrsa Hall A