Jul 2026· IU Discussion Papers Business und Management· 0 citations
TL;DR
The findings indicate that students integrate AI tools primarily as complementary learning aids rather than replacements for traditional materials, and highlights the growing importance of evaluating not only usage frequency but also perceived reliability and pedagogical value.
Abstract
The rapid diffusion of artificial intelligence (AI) tools is fundamentally reshaping learning practices in higher education, particularly in mathematics and statistics courses. This study investigates how undergraduate students across multiple programs at IU International University engage with AI-based mathematics tools, which applications they prefer, and how they evaluate their performance. Drawing on survey data from 174 students enrolled in mathematics lectures during the spring term of 2025, we analyze awareness, usage intensity, and perceived usability, understandability, correctness, and value for money of leading AI tools. The results reveal a highly concentrated market structure: ChatGPT, Photomath, and Gemini dominate student awareness and usage. While ChatGPT is perceived as the most user-friendly and offers strong value for money, Photomath receives the highest ratings for correctness of results. Gemini, in contrast, is evaluated more cautiously across dimensions. Differences in awareness between math- intensive and non-math-intensive programs are small and statistically insignificant, suggesting that AI adoption in mathematics is broadly distributed across disciplines. The findings indicate that students integrate AI tools primarily as complementary learning aids rather than replacements for traditional materials. Overall, the study provides an empirical baseline for understanding how AI functions as a study partner in mathematics education and highlights the growing importance of evaluating not only usage frequency but also perceived reliability and pedagogical value.
The study found that while AI-PMPs have an inconsistent effect on mathematics performance, they can serve as useful supplementary tools for enhancing learning and it is recommended that students not overly rely on and put limits on using AI-PMPs.
Germalyn I. Abrigana, Roxanne Caruana, John Rey L. Obcianal et al.· LUMAT· 0 citations
The findings suggest that the conscious and pedagogically grounded integration of AI into mathematics education holds considerable potential, however, the development of critical awareness and the continued presence of human oversight remain essential to ensure meaningful learning outcomes.
The findings suggest that the conscious and pedagogically grounded integration of AI into mathematics education holds considerable potential, however, the development of critical awareness and the continued presence of human oversight remain essential to ensure meaningful learning outcomes.
Mária Bakó, S. Szőke· Research in Learning Technol...· 0 citations
The study contributes user-derived design requirements that can guide the development of trustworthy and context-appropriate AI-supported learning platforms for undergraduate ICT students in programming-related courses at the two participating universities; broader generalization to other higher education fields requir...
Кazimova Dinara, Turmuratova Dinara, Zatyneyko Anatoly et al.· International Journal of Inf...· 0 citations
Findings suggest that universities need to abandon a punitive compliance regime and reform traditional assessment models to better evaluate and support symbiotic human-AI learning.
It is suggested that AI integration can strengthen market intelligence education in resource-constrained environments by expanding access to advanced analytical capabilities while preserving human-centered pedagogical principles.
M. de la Puente, Diana Patricia Eljach Hernandez, Jorge Luis Escobar Reynel et al.· Discover Education· 0 citations
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