Research work · 2025
On the Reliability of Artificial Intelligence in Mathematics Education
Victor Martinez-Luaces
Artificial Intelligence
Abstract
This paper analyses a specific experience related to the use of artificial intelligence (AI) in mathematical proofs of medium difficulty. Firstly, some well-known theoretical frameworks – in particular, the zone of proximal development (ZPD) proposed by Vygotsky – are studied in terms of their possible adaptation to the use of AI in mathematics education. Secondly, the methodology used is described, and the results of the field work are analysed. Finally, the results obtained are compared with those of other researchers and the opinions of engineering students in the academic year 2024–2025. Based on the above, conclusions are drawn about the potential of AI in mathematics education.