Chamita Nishanthi Liyanage
Department of Materials Science and Engineering, College of Design and Engineering (CDE), National University of Singapore (NUS)
Sub-Theme
Building Learning Relationships
Keywords
AI in education, critical thinking, assessment design, academic integrity, digital literacy
Category
Lightning Talks
With the increasing use of generative AI tools such as ChatGPT, new challenges have been presented to educators in higher education. While concerns about academic integrity are valid, outright bans on AI use may be neither practical nor educationally meaningful. A more constructive approach is to rethink the role of educators—not as gatekeepers who police student behaviour, but as guides who help students use these tools with care and critical thinking.
This lightning talk reflects on an intervention in a core master’s-level course in Materials Science and Engineering that focuses on structure–property relationships. In this course, assignments were redesigned to deliberately include AI, encouraging students to engage with it thoughtfully rather than avoid it. For example, the students were tasked to critique an AI-generated explanation of whether silicon can form graphite or graphene-like structures. The intention was not to prohibit AI use, but to create space where students were prompted to engage with AI-generated responses critically and thoughtfully. When students are encouraged to question, analyse, and evaluate rather than accept information at face value, AI is transformed from a shortcut into a stimulus for deeper inquiry. Through such design, the use of AI in learning is reframed: the focus shifts from reproduction to reflection, fostering both disciplinary understanding and digital literacy.
The approach also shifted the nature of the educator–student relationship. Rather than adopting a policing role, the educator’s role was repositioned to one of guidance—supporting students in navigating AI tools by questioning, refining, and situating responses within the disciplinary context. This created space for more open dialogue and inquiry, where learning became a shared process rather than a rule-bound exercise.
The experience offers useful lessons for teaching practice. When assignments are designed to use AI critically, they can promote deeper disciplinary learning, support responsible use of technology, and reshape the educator’s role into that of a collaborator in inquiry. AI then becomes less of a threat and more of a tool to enrich learning and build stronger connections between students, educators, and emerging digital tools.