Yu Ho Kwok
Yu Ho Kwok is a Senior Lecturer at the Information Technology Department of the Hong Kong Institute of Vocational Education, where he is currently the Programme Leader for the Higher Diploma in AI and Mobile Application Development. With over 13 years of experience in teaching and programme development, he is responsible for daily operations, programme development, quality assurance, R&D, and industrial collaboration.
Mr Kwok has taught modules at both degree and sub-degree levels, specialising in artificial intelligence application and mobile application development. He is also the Chief Expert for the WorldSkills competition and has received several certifications and awards, including HCIA-AI instructor, Apple Distinguished Educator (Class of 2019), and the Apple Certified Trainer (ACT).
Mr Kwok's research interests include mobile application innovation, developing education software to enhance teaching and learning, and technology-enhanced learning using artificial intelligence.
Hong Kong Institute of Vocational Education, Hong Kong
Position –Senior Lecturer
Title –Mr
Sessions
The aim of this study is to investigate the efficacy of using ChatGPT to support teaching in software engineering education, focusing on its impact on both the efficiency and effectiveness of teaching. The study will employ a mixed-method research design, collecting and analysing both qualitative and quantitative data related to students' academic performance, educators' preparation of teaching and learning material, and students' perceptions of the teaching methods.
The participants of this investigation will consist of higher diploma students in software engineering at the Hong Kong Institute of Vocational Education. These students will be allocated randomly to one of two groups: control group shall be provided with human-created learning content, while the experimental group will receive teaching material and interim feedback generated by ChatGPT.
ChatGPT-generated teaching and learning materials will encompass a variety of resources to support instruction, such as lecture presentations, tutorial notes, assignments and assessments, and marking schemes. These resources will be thoroughly validated and moderated by the lecturer to ensure alignment between the two groups.
Using ChatGPT as a pedagogical tool is expected to amplify the efficiency in teaching software engineering, leading to superior performance by the experimental group over the control group. A supplementary objective of the study is to assess and scrutinise the feasibility of relieving teachers from the burden in preparing instructional materials with the assistance of ChatGPT. The study's results will exemplify the value and usefulness of employing ChatGPT to assist teaching.
This research will contribute to the growing body of knowledge on the use of artificial intelligence in education and has implications for the broader field of teaching and learning. Future research can explore the use of ChatGPT in teaching other subjects and investigate students' perceptions of using ChatGPT as a teaching and learning tool.
The COVID-19 pandemic has resulted in a growing demand for innovative online educational tools, particularly in the field of engineering. In response, a team of students from the Hong Kong Institute of Vocational Education (Sha Tin) has developed Present AR, an AI-powered presentation tool that enhances the virtual presentation experience for engineering education. The project has successfully transitioned into a startup that has been funded by Hong Kong Science and Technology Park, and is currently collaborating with IVE to further develop the product.
Present AR is a presentation tool that leverages augmented reality (AR) technology and AI algorithms to create a highly interactive and engaging learning experience. The tool enables presenters to virtually interact with engineering models and diagrams, providing a more immersive and dynamic learning experience that can enhance understanding and retention of complex engineering concepts. One of the key features of Present AR is its AI-powered gesture recognition, which tracks the presenter's movements and integrates them seamlessly into the virtual environment, creating a more personalized and immersive learning experience.
The potential of Present AR to revolutionize engineering education lies in its ability to provide a more dynamic and interactive learning experience. For instance, a presenter could use Present AR to demonstrate the operation of a complex machine or process by virtually manipulating 3D models and providing detailed explanations, facilitating a more effective understanding of the machine or process than through traditional methods.
Furthermore, Present AR's interactive capabilities can also foster collaboration between students and instructors in virtual classrooms, allowing them to work together on projects and simulations in real-time. This approach can help students develop teamwork skills while providing a more engaging and effective learning experience.
The development of an AI-powered presentation tool like Present AR holds significant potential for engineering education in the post-pandemic era. By leveraging AR technology and AI algorithms, Present AR can offer a more dynamic and immersive learning experience, which can enhance understanding and retention of complex engineering concepts. Additionally, its interactive capabilities can facilitate collaboration and teamwork, providing a more engaging and effective learning experience for students. The tool's use of AI-powered gesture recognition allows for a more personalized and immersive learning experience, with the potential to improve the effectiveness of online engineering education. Further research could explore the potential applications of Present AR for other educational fields and settings.