Call for Special sessions
ISAI 2025 call for special session (Proposal Form)
Contact secretary if you have interest: Ms. Eileen Wu / Mail： isai_conf@163.com
Special Session 1: Generative AI in Personalized Education: Opportunities and Challenges
Please submit via https://www.zmeeting.org/submission/ISAI2025 and select "Special Session 1: Generative AI in Personalized Education: Opportunities and Challenges"
We live in the digital world, the modern workforce increasingly relies on digital innovations to drive innovative solutions, new content generation capabilities, and transformative technologies that can redefine industries. This calls for an education approach that prepares our graduates for a rapidly changing world, making them more adaptable and tech-savvy which are skills highly valued by employers.
Universities, in particular, need to move away from traditional passive knowledge dissemination into dynamic, interactive learning experiences that empower students to take ownership of their learning journey. This approach cultivates curiosity, self-directed learning, collaboration, and problem-solving skills to equip students to thrive in a technology-driven world.
The emergence of AI-driven technologies has transformed the way students receive personalised assistance and support, making it a revolutionary development in the field of education. Imagine if every university lecturer had an AI double of themselves, available to their students 24/7. This is one of the long-awaited goals in online learning, where delivering personalised learning to every student is now made possible.
These AI doubles more commonly known as virtual teaching assistants will “work closely” with the lecturers to handle routine tasks such as generating quizzes, providing personalized feedback on assignments, offering immediate assistance, answering questions, and clarifying doubts in real time – allowing lecturers to focus more on direct student interaction, ultimately providing targeted support for every student. This is an example where learning with AI can
be better than reality.
However, adopting AI in education at the university level presents several challenges. If students do not use Generative AI (GenAI) responsibly, it may lead to a compromise in the attainment of learning outcomes and eventually affect the quality of graduates. Students need to understand the limitations of GenAI technology. It is not perfect and can produce false or illogical information. In certain circumstances, GenAI may lack discernment and be unable to distinguish between right and wrong information. It can fabricate information and generate fictitious references to non-existent texts.
In addition, the ethical consideration in embracing GenAI in education needs to address the privacy and security of students’ data. GenAI often relies on Large Language Models and requires massive amounts of data to train the model effectively. The deployment of AI in education must prevent unauthorised or unintended usage of sensitive personal information and academic records from students.
Universities must implement robust ethical guidelines, including obtaining informed consent from students for data usage, and ensuring students have the option to opt-out of any data collection by the AI system. It is also crucial for universities to ensure their AI systems are trained with transparent algorithms, and are regularly audited for responsible and optimal use of GenAI.
Special Session Organizer(s):
Lim Chee Leong, Associate Professor, Taylor’s University Malaysia