Ahmad Wachidul Kohar is an assistant professor in the Faculty of Mathematics and Natural Sciences and is currently pursuing a Ph.D. in Mathematics Education at Michigan State University, USA. His research focuses on supporting preservice teachers (PSTs) in developing problem-posing skills as cognitive, learning, and instructional goals. He is particularly interested in context-based problem posing, where real-life contexts serve as key elements in the design and analysis of mathematical tasks.

In his current work, Ahmad explores how PSTs learn to pose context-based mathematical tasks by engaging with generative artificial intelligence (AI). He investigates how AI tools can help PSTs unpack and make sense of the dimensions involved in creating meaningful, context-rich problems. Ahmad’s research highlights the experiences and challenges PSTs face in their problem-posing journey when partnering with generative AI tools, with a focus on identifying the critical features that define effective context-based mathematical tasks. This work ultimately aims to enhance PSTs' ability to pose high-quality problems, establishing problem-posing as a central learning objective in teacher education.