Global Journal of Current and Innovative Research
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Vol. 11 No. 3 (2026): July - September
Articles

How Do You Use AI in Mathematical Expression and Apply it in Teaching and Learning Computer Studies

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  • Okechukwu Oliver, Ph.D.,
  • Nwanjoku, Chidera Dorathy

Published 2026-08-28

Keywords

  • Array

Abstract

This paper explored how AI can be applied in mathematics expression and in the teaching and learning of Computer Studies. AI-driven approaches enable mathematicians to leverage vast computational resources and data-driven insights, opening new avenues for research and pushing the boundaries of mathematical knowledge. The paper provides an overview of key AI concepts and methods relevant to mathematics, including symbolic reasoning, theorem proving, numerical optimization, and pattern recognition. The paper also presented case studies and practical examples demonstrating the successful application of AI in various subfields of Computer Studies, such as using generative models and 3D deep learning to synthesize and complete 3D shapes from partial or noisy observations, such as single-view images, sketches, or point clouds, which can be used for 3D modeling, animation, and printing. It concludes with a vision for the future of AI driven mathematics, emphasizing the need for interdisciplinary education, open science, and responsible innovation especially in teaching and learning of Computer Studies.

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