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Osama Swidan

Senior Academic

Osama Swidan is a researcher in mathematics education at Ben-Gurion University of the Negev. His research focuses on understanding how learners and teachers engage with mathematics in technology-rich environments and how emerging digital technologies reshape mathematical thinking, teaching, and learning. Drawing on qualitative, multimodal, and design-based research approaches, he investigates the cognitive, social, embodied, and affective dimensions of mathematical activity across a wide range of educational settings.

A central theme of his work is the relationship between technology and mathematical reasoning. His studies examine how tools such as artificial intelligence, augmented reality, dynamic mathematical software, eye-tracking technologies, and interactive digital environments influence students’ problem-solving processes, conceptual understanding, and participation in mathematical practices. He is particularly interested in how these technologies create new opportunities for learning while also transforming the nature of mathematical activity and classroom interaction.

His research also explores teachers’ professional knowledge and decision-making in technology-mediated contexts. Recent projects investigate how mathematics teachers interpret and evaluate AI-generated mathematical responses, how teachers integrate generative artificial intelligence into instructional design, and how AI-based systems can support teachers’ awareness of students’ learning processes and emotional engagement during classroom activity.

Beyond empirical investigations, his work contributes to the development of theoretical perspectives for understanding learning in contemporary educational environments. By bringing together insights from mathematics education, learning sciences, human-computer interaction, and artificial intelligence, he seeks to advance knowledge about how technology can support meaningful mathematical learning and how educational systems can respond to rapidly evolving digital landscapes.

His overarching goal is to understand how humans think mathematically in an increasingly technological world and to develop educational approaches that enable learners and teachers to engage critically, creatively, and thoughtfully with both mathematics and emerging technologies.

Selected Publications

Fenigstein, Z., Gal, K., Segal, A., Swidan, O., Israel, I., & Ayoob, H. (2026). Automatically inferring teachers' geometric content knowledge: A skills based approach. arXiv preprint arXiv:2604.13666.

Swidan, O. (2020). A learning trajectory for the fundamental theorem of calculus using digital tools. International Journal of Mathematical Education in Science and Technology, 51(4), 542-562.

Projects

Artificial Intelligence and Teacher Professional Judgment in Mathematics Education

This project investigates how generative artificial intelligence is reshaping mathematics teachers' professional knowledge and assessment practices. It examines how teachers evaluate LLM-generated mathematical responses, interpret AI-produced reasoning, and make instructional decisions in technology-rich assessment contexts. The project aims to develop new theoretical perspectives on teacher knowledge that account for the epistemic challenges introduced by generative AI.

AI-Supported Teaching and Classroom Decision-Making

This research explores how artificial intelligence can support teachers during mathematics instruction without replacing professional judgment. Focusing on AI-generated emotional alerts and real-time classroom analytics, the project investigates how teachers interpret AI-generated information, integrate it into instructional decisions, and respond to students' mathematical and emotional needs during classroom interactions.

Generative AI for Mathematics Teaching and Task Design

This international research project examines how mathematics teachers use generative AI to design instructional tasks, learning activities, and classroom materials. Through comparative studies conducted in different educational systems, the project investigates prompting strategies, teacher-AI collaboration, and the pedagogical decisions that shape AI-assisted lesson design.