WSEAS Transactions on Business and Economics
Print ISSN: 1109-9526, E-ISSN: 2224-2899
Volume 19, 2022
Prototype of Project AI4Math: Interdisciplinary and Innovative Technology for Accelerated Learning of Mathematics
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Abstract: As the demand for sustainable education increases, teaching and learning strategies also change and evolve. They are becoming more innovative, creative and technology-based. It is mathematics that is one of the most important subjects with horizontal influence on other sectors, which poses the greatest challenges to educators with the question "How to teach students in such a way that they become interested in mathematics?" As an answer to the question, a new product was created. Using a carefully developed methodology and taking into account the needs of students, the post-doctoral research project "Artificial Intelligence (AI) Support for Approach of Accelerated Learning of Mathematics (AI4Math)”, through the cooperation of an interdisciplinary team in the fields of information technology, mathematics, mechatronics, sports and artificial intelligence, a prototype was developed for an innovative technology that arouses emotions in students of different ages, creates a competitive spirit and promotes accelerated learning of mathematics. The AI4Math prototype combines 3 components: 1) a pressure-sensitive floor platform for jumping out the solutions of mathematical expressions, 2) application for calculation of math expressions, evaluation of answers, accumulation and processing of Big Data, 3) an AI solution for emotion control. The study makes a valuable contribution to researchers, entrepreneurs and the education industry, as it reveals the conditions necessary for modern and sustainable accelerated learning of mathematics. Given that the AI4Math prototype provides an innovative approach to learning mathematics through physical activity, the survey data indicated support and future development prospects for the interdisciplinary technology.
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Keywords: AI4Math, technology prototype, accelerated learning of mathematics, interdisciplinary approach
Pages: 1839-1848
DOI: 10.37394/23207.2022.19.165