Computational Thinking in Mathematics Education: Problem Solving, Artificial Intelligence and Digital Learning Environments
A special issue of Education Sciences (ISSN 2227-7102).
Deadline for manuscript submissions: 1 February 2027 | Viewed by 14
Special Issue Editors
Interests: computational thinking; problem solving; intelligent tutoring systems; technology-enhanced learning environments; mathematics education
Interests: mathematics education; digital technologies; computational thinking; artificial intelligence in education; technology-enhanced learning environments
Special Issue Information
Dear Colleagues,
Computational thinking (CT) has become a key competence for navigating an increasingly digital and data-driven world. Beyond programming, CT involves a multidimensional set of cognitive practices such as abstraction, decomposition, pattern recognition and algorithmic thinking, which are closely connected to mathematical reasoning and problem solving. In recent years, educational systems worldwide have begun to incorporate CT into school curricula, recognizing its importance for preparing students to address complex problems across disciplines.
At the same time, rapid advances in artificial intelligence (AI) and digital technologies are transforming the ways in which mathematics can be taught and learned. Emerging tools such as intelligent tutoring systems, adaptive learning environments and AI-supported educational platforms offer new opportunities to foster computational thinking and mathematical understanding. However, important challenges remain, including the design of learning environments capable of addressing the multidimensional nature of CT, the assessment of CT competencies and the preparation of teachers to integrate these approaches meaningfully into classroom practice.
This Special Issue aims to present and disseminate recent advances in research exploring the relationships between computational thinking, artificial intelligence and digital innovation in mathematics education. We welcome empirical, theoretical and design-based studies that explore how computational thinking can be integrated into mathematics education and examine its impact on students’ mathematical reasoning, problem solving and learning processes across different educational contexts.
Topics of interest for publication include, but are not limited to, the following:
- Computational thinking in mathematics education
- Integration of AI and computational thinking in school curricula
- Digital tools and environments for supporting computational thinking
- Adaptive and personalized learning environments for computational thinking learning
- Assessment and measurement of computational thinking competencies
- Design and evaluation of tasks and instructional sequences for computational thinking in mathematics education
- Teacher education for integrating computational thinking and AI in mathematics classrooms
- Learning analytics and data-driven approaches to studying computational thinking development
- Unplugged and hybrid approaches to developing computational thinking in mathematics education
Dr. José Antonio González-Calero
Dr. Javier del Olmo-Muñoz
Guest Editors
Manuscript Submission Information
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Keywords
- computational thinking
- mathematics education
- artificial intelligence in education
- educational technology
- adaptive learning environments
- problem solving
- computational thinking assessment
- teacher education
- digital learning environments
- multidimensional computational thinking
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