On the Interplay of Mathematics and Education: Advancing Computational Discovery from Recognition to Observation

Abstract

The paper promotes the notion of computational experiment supported by a multi-tool digital environment as a means of the development of new mathematical knowledge in the context of education. The main study of the paper deals with the issues of teaching this knowledge to secondary teacher candidates within a graduate capstone mathematics education course. The interplay of mathematics and education is considered through the lens of using technology to enhance one’s mathematical background by advancing ideas from mostly known to genuinely unknown. In this paper, the knowns consist of Fibonacci numbers, Pascal’s triangle, and continued fractions; among the unknowns are Fibonacci-like polynomials and generalized golden ratios in the form of cycles of various lengths. The paper discusses the interplay of pragmatic and epistemic uses of digital tools by the learners of mathematics. The data for the study were collected over the years through solicited comments by teacher candidates enrolled in the capstone course. The main results indicate the candidates’ appreciation of the need for deep mathematical knowledge as an instrument of the modern-day pedagogy aimed at making high schoolers interested in the subject matter.

Learning Mathematics with Large Language Models

“…Wolfram|Alpha has been utilized in the context of mathematical education, such as calculus and linear algebra [24][25][26]. It offers several advantages over CASs, including its natural language interface, platform independence, and the fact that it functions as a computational knowledge engine aiming to answer broader scientific questions.…”