Enough of the chit-chat: A comparative analysis of four AI chatbots for calculus and statistics
Document Type
Article
Source of Publication
Journal of Applied Learning and Teaching
Publication Date
6-29-2023
Abstract
This article presents a comparative analysis of four AI chatbots with potential utilization in the fields of mathematics education and statistics, namely ChatGPT, GPT-4, Bard, and LLaMA. Our objective is to evaluate and compare the features, functionalities, and potential applications of these platforms within the domains of calculus and statistics. By examining their strengths and limitations, this study aims to provide insights into the selection and implementation of AI chatbots in calculus and statistics to enhance student learning. The results of the comparative analysis reveal that, while not perfect, GPT-4 outperforms ChatGPT, Bard, and LLaMA as a learning tool in calculus and statistics. Findings also reveal that chatbots may have a positive transformational impact on higher education.
DOI Link
ISSN
Publisher
Kaplan Higher Education Academy Pte Ltd
Volume
6
Issue
2
First Page
346
Last Page
357
Disciplines
Computer Sciences
Keywords
AI chatbots, Bard, calculus, ChatGPT, comparative analysis, GPT-4, Large Language Models (LLMs), LlaMA, statistics, student learning
Scopus ID
Recommended Citation
Calonge, David Santandreu; Smail, Linda; and Kamalov, Firuz, "Enough of the chit-chat: A comparative analysis of four AI chatbots for calculus and statistics" (2023). All Works. 6293.
https://zuscholars.zu.ac.ae/works/6293
Indexed in Scopus
yes
Open Access
yes
Open Access Type
Gold: This publication is openly available in an open access journal/series