AIHCHOJul 29, 2025

Can the current trends of AI handle a full course of mathematics?

arXiv:2507.21664v1h-index: 1
Originality Synthesis-oriented
AI Analysis

It addresses the problem of AI's limitations in education for educators and institutions, highlighting incremental insights into human-AI collaboration.

This paper investigates whether current AI trends can handle a full college-level mathematics course, evaluating aspects like syllabus creation and assessment, and finds that while AI excels in organization and accuracy, it lacks human emotional aspects, suggesting recommendations for integration.

This paper addresses the question of how able the current trends of Artificial Intelligence (AI) are in managing to take the responsibility of a full course of mathematics at a college level. The study evaluates this ability in four significant aspects, namely, creating a course syllabus, presenting selected material, answering student questions, and creating an assessment. It shows that even though the AI is strong in some important parts like organization and accuracy, there are still some human aspects that are far away from the current abilities of AI. There is still a hidden emotional part, even in science, that cannot be fulfilled by the AI in its current state. This paper suggests some recommendations to integrate the human and AI potentials to create better outcomes in terms of reaching the target of creating a full course of mathematics, at a university level, as best as possible.

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