Generative AI in Education: Application of Open-Source Tools in Assessment Design
Lightning Session Stream 5: Enhancing teaching practice with the use of AI
Time: 10:35 am – 10:55 am
Location: G21 & G02
As the landscape of higher education continues to evolve, there is a growing demand for innovative and cost-effective solutions to enhance the teaching and learning experience. This presentation explores the potential of openly available tools in creating robust, customizable, and accessible assessment tools for university courses. We will also showcase practical examples that demonstrate the methods by which attendees can utilise existing systems and set up their own systems.
Harshana Randeni | Leading Education Professional Engineering & Tec
Harshana Randeni holds a PhD in Engineering specializing in Databases, Genomics, Scientific Pipeline Design and Hardware Optimisation. He has been teaching and lecturing for the past 7 years at University of Sydney, UNSW Sydney and UNSW College. During this tenure, he has supervised several honours and postgraduate students as well as industry collaborators. His current research focuses on the academic side and the education development side. On the academic side, he is pursing topics that are Bioinformatics-related and AI-related projects such as using biologically inspired LLMs to investigate an generate novel genetic code. On the education development side he is looking into using LLMs to automatically generate multi-focal coding assessments and using AI Agents for automating task administration similar to a Teaching Assistant.
Hongen Lu | Leading Education Professional Engineering & Tec
Dr. Hongen Lu is an experienced academic with a solid background in computer science. He earned his PhD from The University of Melbourne, where he developed a deep passion for integrating artificial intelligence technologies into teaching and learning. His research interests lie at the intersection of AI and education, where he strives to innovate and enhance educational methodologies. Throughout his career, he has taught a wide range of courses, including programming languages, software engineering, system analysis and design, machine learning, and artificial intelligence. His comprehensive teaching portfolio reflects his versatility and expertise across multiple domains of computer science and information technology. His dedication to excellence in teaching has been recognised through several awards, underscoring his commitment to student success and educational innovation.
Please note that we will be filming and taking photos at this event.
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