Events

This session will be on Australia's School Mathematics Curriculum and Education Policy presented by Justine Sakurai, Lecturer, University of Melbourne, Australia. Register online. Australia's federated education system presents a compelling case study in curriculum policy reform. This presentation traces how national curriculum standards, assessment frameworks, and professional learning have been sequenced to integrate computational thinking, data science, and […]

Dr. Takashi Kawakami, Associate Professor of Mathematics Education at Utsunomiya University, Japan, will focus on how data science (DS), computational thinking (CT) and artificial intelligence (AI) topics can be integrated into the current existing teaching practices in K-12 mathematics classrooms. In this talk, he will share examples of teaching approaches and professional learning in Japan. […]

Presented by Kyungwon Lee, a PhD candidate at Seoul National University, this webinar session aims to provide insights into classroom practices related to computational thinking, data science, and AI in the U.S. mathematics education context, drawing on the Korean case. Register online. In Korea, the national curriculum is periodically revised and recent issues such as […]

Presented by Dr. Tin Lam TOH, Associate Professor, National Institute of Education, Nanyang Technological University, Singapore, This session will describe how Generative AI has been used in the mathematics teacher education in Singapore, and a glimpse into the use of Gen AI in school mathematics classroom. More importantly, he will also present an alternative paradigm […]