| Title: |
Computational Thinking in High School Mathematics |
| Language: |
English |
| Authors: |
Rudy Baez (ORCID 0009-0000-0003-3863); Henry Sanchez (ORCID 0009-0005-3668-3362); Duli Pllana (ORCID 0009-0007-4511-2363) |
| Source: |
International Journal of Education in Mathematics, Science and Technology. 2026 14(1):256-280. |
| Availability: |
International Journal of Education in Mathematics, Science and Technology. Necmettin Erbakan University, Ahmet Kelesoglu Education Faculty, Meram, Konya, 42090, Turkey. e-mail: ijermst@gmail.com; Web site: https://www.ijemst.net/index.php/ijemst/index |
| Peer Reviewed: |
Y |
| Page Count: |
25 |
| Publication Date: |
2026 |
| Document Type: |
Journal Articles; Information Analyses |
| Education Level: |
Secondary Education; High Schools |
| Descriptors: |
Computation; Thinking Skills; Secondary School Mathematics; High Schools; Educational Research; Artificial Intelligence; Technology Uses in Education; Technology Integration; Mathematics Instruction; Mathematics Achievement; Learner Engagement; Mathematics Skills |
| ISSN: |
2147-611X |
| Abstract: |
This literature review explores the integration of Computational Thinking (CT) and Artificial Intelligence (AI) in high school mathematics education. CT -- which involves decomposition, pattern recognition, abstraction, and algorithm design -- provides a structured framework for solving complex problems. ChatGPT and Gemini function as computational thinkers, capable of interpreting problems and using logic, abstraction, and pattern recognition to simulate human-like reasoning across domains. In contrast, advanced mathematical software such as Wolfram Alpha, GeoGebra, Symbolab, and Desmos are specialized tools designed to perform exact mathematical computations and visualizations, but they lack the ability to think or adapt contextually. While ChatGPT and Gemini help users understand and explore problems, math software precisely solves them based on defined inputs. Mathematical problem-solving remains a foundational element of both education and technological advancement. CT fosters logical reasoning and creativity, while AI enables efficient exploration of mathematical concepts through automation and intelligent systems. This integration not only supports deeper conceptual understanding but also helps educators tailor instruction to diverse learning needs. The review highlights three key themes: (1) AI integration improves students' performance in mathematics; (2) game-based learning (GBL) supported by AI increases engagement; and (3) CT development strengthens mathematical reasoning. |
| Abstractor: |
As Provided |
| Entry Date: |
2026 |
| Accession Number: |
EJ1494272 |
| Database: |
ERIC |