LEARNING OBJECTS FOR MATHEMATICS TEACHING: THE USE OF MANIM AS A DIGITAL EDUCATIONAL TOOL

Abstract

This paper investigates the use of the Mathematical Animation Engine (Manim), a Python library, as a tool for creating Learning Objects (LOs) in Mathematics teaching. This is a qualitative, applied study with a pragmatic approach. It explores how Manim can enhance the visualization of mathematical concepts, aligning with Diehl's (2005) visualization principles and Singh's (2001) pedagogical characteristics of LOs. The study includes an analysis of the tool and the practical development of a LO for Mathematics teaching. The results demonstrated that Manim is highly effective in creating clear and intuitive animations that can facilitate the understanding of specific mathematical concepts in class. The tool uses visual resources such as light, color, and movement, which ensure a dynamic representation that enriches learning. Furthermore, Manim fully met the criteria of reusability, adaptability, and accessibility for LOs, allowing its use in diverse educational contexts and ensuring the durability of the created resources. Although direct interactivity in animations is limited, Manim's flexibility and integration with other libraries offer viable alternatives. We conclude that Manim is a highly promising tool for teaching mathematics, providing a rich and effective visualization of mathematical concepts, with great potential for developing LOs.