CALL FOR PAPERS: SPECIAL ISSUE EMERGING TECHNOLOGIES IN MATHEMATICS EDUCATION

2025-09-05

SPECIAL ISSUE EDITORS

Javier del Olmo, Universidad de Castilla-La Mancha, javier.olmo@uclm.es

Pascual D. Diago, Universitat de València, pascual.diago@uv.es

José Antonio González-Calero, Universidad de Castilla-La Mancha, jose.gonzalezcalero@uclm.es

David Arnau, Universitat de València, david.arnau@uv.es

RATIONALE

The growing presence of emerging technologies in educational environments is changing both the way mathematics is taught and learned and the research methodologies in the field of mathematics education. Advances in cutting-edge technologies such as intelligent tutoring systems, adaptive learning platforms, generative artificial intelligence (AI) tools, augmented reality, or learning analytics based on large volumes of data have permeated the field of mathematics education research, opening new scenarios in which to explore the possibilities posed by these technologies, along with new research questions to address.

This special issue of AIEM aims to highlight research that, with methodological rigor, provides empirical knowledge about the integration and educational impact of these technologies in different contexts of mathematics teaching and learning. Contributions that go beyond a merely instrumental use, from an approach grounded in the didactics of mathematics, will be especially valued.

Contributions from different educational levels and contexts are welcome, and we encourage empirical research that can generate well-founded knowledge about the impact of these technologies. Priority will be given to research employing experimental or quasi-experimental designs, robust statistical analyses, and/or well-supported mixed methods. Purely theoretical, essayistic, or merely descriptive works will not be considered.

TOPICS OF INTEREST

This call encourages the submission of rigorous research addressing a wide range of emerging technologies, including (but not limited to):

Applications of generative AI in mathematics learning.
Intelligent tutoring systems in mathematics education.
AI-based learning analytics and data mining in mathematics teaching.
Emerging technologies applied to research in mathematics education (e.g., eye-tracking, sensors, or other advanced analysis or interaction tools).
Automation, personalization, feedback, and/or technology-mediated decision-making in the teaching and learning of mathematics.

The intention of this special issue is to bring together a diverse collection of research that reflects the variety of tools, approaches, and contexts related to the use of emerging technologies in mathematics education.

Interested authors must submit an Abstract (300–600 words) by email to javier.olmo@uclm.es before October 30, 2025.

TIMELINE