A STUDY TO EVALUATE AI TEXT GENERATORS EXPLAINING COMPLEX MATHEMATICS TO STUDENTS
Abstract
AI is playing an increasing role at all levels of the educational enterprise. Therefore, research must be done to assess the validity, accuracy, and value of using the various currently available technologies. To partially examine these issues, we have carried out experiments, using four different large language model (LLM) text generators, to gage their responses to the query, generally, "Explain the Nonstandard Finite Difference (NSFD) methodology in terms that would be understandable to a high school student." All the responses were basically the same and correct in the essential aspects, except for some equation formatting issues. We conclude that for this particular query, the LLMs responses rate a grade of B, based on the opinion of the NSFD methodology's creator for numerical analysis of differential equations. Future efforts will involve student inputs regarding their own understandings, interpretations, and uses of LLMs for their research and academic work in applied mathematics.
Recommended Citation
Mickens, Ronald E. and Briones, Bryan A.
(2026)
"A STUDY TO EVALUATE AI TEXT GENERATORS EXPLAINING COMPLEX MATHEMATICS TO STUDENTS,"
Georgia Journal of Science, Vol. 84, No. 1, Article 111.
Available at:
https://digitalcommons.gaacademy.org/gjs/vol84/iss1/111