An AI-powered Mobile App for Mathematics Learning: Enhancing Equation Recognition and Problem-Solving Capabilities

DOI

10.2991/978-94-6463-583-6_3How to use a DOI?

Keywords

Optical Character Recognition; Deep learning; Hybrid-ViT; Mathematics

Abstract

We are approaching a future where artificial intelligence (AI) plays a significant role in our society. AI is progressively becoming widespread in many aspects, ranging from industry, manufacturing, energy, and healthcare to education. Among those sectors, education covers significant societal impacts. Mathematics, in particular, presents considerable challenges for both students and individuals who encounter it in their daily professional endeavors. This domain requires learners to have a solid fundamental basis and to be sensitive in integrating knowledge with one another. This study aims to present an AI framework with an application for mathematics problem-solving in education. The designed approach is fine-tuned using a pre-trained model. Indeed, the framework is designed to assist students in their mathematical learning. Our framework can identify individual mathematical characters, formulas, and intricate equations, considering the complex handwritten. By using a hybrid architecture that merges ResNet-v2 and Vision Transformer (ViT) models to improve the accuracy of mathematical character recognition, this model demonstrated its proficiency in rapidly and accurately identifying a wide range of problems, from simple ones to those containing dense and complex mathematical symbols.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Nam Anh Dang Nguyen
AU  - Binh Nguyen Le Nguyen
AU  - Duy Tan Le
AU  - Kha Tu Huynh
AU  - Bao An Mai Hoang
AU  - Hung Nguyen Quoc
AU  - Phan Hien
AU  - Viet Tuyen Nguyen Tan
PY  - 2024
DA  - 2024/11/26
TI  - An AI-powered Mobile App for Mathematics Learning: Enhancing Equation Recognition and Problem-Solving Capabilities
BT  - Proceedings of the 2nd International Conference - Resilience by Technology and Design (RTD 2024)
PB  - Atlantis Press
SP  - 17
EP  - 28
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-583-6_3
DO  - 10.2991/978-94-6463-583-6_3
ID  - Nguyen2024
ER  -