A comparative analysis of the effectiveness of neural network‑driven versus algorithmic learning modules in higher mathematics edu...
Annotation
This article presents a comparative analysis of the effectiveness of two classes of digital educational tools used in teaching higher mathematics at the university level: neural network-based applications — generative language models and adaptive AI platforms — versus classical algorithmic products, including task databases, computer simulators, and mind maps. Drawing on an analysis of contemporary scientific research (2019–2026) and pedagogical practice, the study identifies the strengths and limitations inherent to each approach. It is established that neural networks possess considerable tr...