Optimización de procesos investigativos mediante inteligencia artificial: aplicaciones, desafíos y perspectivas futuras: una revisión sistemática de la literatura.

Abstract

Differential and integral calculation is a fundamental tool in teaching STEM disciplines. However, its teaching presents significant challenges due to the abstraction of the concepts and the difficulty in visualizing them. Traditional teaching methods have proven insufficient to overcome these barriers, which negatively affect student understanding and performance. This research explores how computer tools can improve the teaching of differential and integral calculus, proposing a systematic review of the literature on its effectiveness in the classroom. The study seeks to answer how the integration of technological tools such as GeoGebra, MATLAB, and other mobile applications can facilitate a deeper understanding, improve academic performance, and develop problem-solving skills in students. In addition, it will examine how these technologies can face the challenges inherent in their implementation, such as the need for adequate technological infrastructure, teacher training, and equity in access to technology. The methodology includes a qualitative and descriptive approach to analyze the existing literature and critically evaluate previous studies. This research aims to offer a comprehensive view of current and future trends in the teaching of calculus, providing recommendations for educators and policy makers to optimize the teaching-learning process in various educational contexts. Keywords: differential and integral calculation, computer tools, GeoGebra, MALTAB, educational technology.