Mini Symposium on Future-Ready Learning and Teaching of Mathematics in the AI Era

Learning and Teaching with Artificial Intelligence and Emerging Technologies

For author guidelines, the abstract template, and the submission link, please refer to the main ICCMM 2026 Call for Papers section.

Topics of Interest

Papers are invited on topics including, but not limited to, the following areas:

01
Technology-enhanced learning in mathematics Digital and technology-supported approaches that improve mathematics learning, engagement and classroom practice.
02
Applications of artificial intelligence in teaching and assessment AI-supported feedback, adaptive learning, automated assessment and intelligent tutoring approaches in mathematics education.
03
Digital tools and platforms for mathematics instruction Use of learning platforms, mathematical software, interactive environments and digital resources for mathematics teaching.
04
Innovative approaches to assessment in AI-supported environments Assessment design, formative feedback and evaluation methods in technology-rich and AI-supported learning settings.
05
Blended and online learning strategies Flexible learning models, hybrid teaching practices and online mathematics learning experiences.
06
Data-driven approaches to improving learning outcomes Learning analytics, evidence-based teaching decisions and data-informed improvement of mathematics learning.
07
Classroom integration of computational tools Integration of simulations, computational thinking, visualization tools and mathematical technologies in classroom practice.
08
Creating Meaningful AI Resistant Assignments to promote Mathematical Thinking Design of authentic assignments that encourage mathematical reasoning, originality and meaningful student thinking while reducing overreliance on generative AI.

Call for Papers