Description:
Description:
This one-hour interactive webinar is designed for primary and secondary mathematics teachers seeking to explore the potential of artificial intelligence as a tool to support their mathematics teaching. The session will introduce participants to practical applications of generative AI (GenAI) in mathematics education, primarily focusing on creating resources such as lesson plans and quizzes. Through hands-on activities, attendees will learn effective prompting strategies to optimise their interactions with GenAI tools. The workshop will demonstrate how GenAI can streamline the resource creation process, allowing teachers to develop tailored materials that address specific learning objectives and student needs. Participants will explore the capabilities and limitations of AI in generating mathematics content, ensuring that the technology serves as a complement to, rather than a replacement for, teacher expertise.
Presenters:
Scott Cameron’s recently completed PhD research investigates senior secondary mathematics students’ use of, attitudes towards, and factors influencing the use of Computer Algebra Systems. The research uses a longitudinal mixed methods case study methodology to contribute to the understanding of how students learn mathematics with technology and has implications for teachers who are introducing new technologies into their mathematics classrooms. Post PhD, Scott explores the impact of other technologies, such as Mathematics Analysis Software and Artificial Intelligence, on the teaching and learning of mathematics.
Scott teaches mathematics education subjects in the Master of Teaching (Secondary) program, where he also works as a Clinical Practice Coordinator overseeing the professional development of preservice teachers during their placement experiences. His emerging interest in the Scholarship of Teaching and Learning concerns the development of subject-specific pedagogical content knowledge during pre-service teachers’ professional practice experiences.
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Dr. Carmel Mesiti is a Senior Lecturer in Mathematics Education and the Course Coordinator for the Master of Teaching (Primary) program at the University of Melbourne's Faculty of Education. With a career spanning primary, secondary, and master level mathematics education courses, Dr. Mesiti is a dedicated educator and researcher working to advance mathematics teaching and learning. She has served as a Research Fellow on multiple Australian Research Council (ARC)-funded international projects at the International Centre for Classroom Research (ICCR), where she led The International Classroom Lexicon Project as project manager, coordinating efforts with ten research teams from diverse global contexts.
Dr. Mesiti’s research focuses on understanding the nature of teaching and learning in mathematics classrooms worldwide, using video-based research to examine pedagogical language and instructional approaches across different educational cultures. As a co-leader of the ICCR research hub, and research co-lead of the Mathematics, Science, Technology and Education Academic Group (MSTEG), she collaborates with a network of researchers dedicated to exploring classroom teaching practices in both physical and virtual settings. Recently, her research has expanded to cover asynchronous learning and the innovative use of generative AI tools for lesson planning, reflecting her commitment to integrating new methodologies into education. In recognition of her contributions to internationally significant research, Dr. Mesiti was co-awarded the MGSE Research Leadership Excellence Award in 2017.
Registrations closer Monday 5th May
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