Artificial intelligence in education: computer-assisted learning and AI-guided tutors

Sevilla Sanz, Maria Almudena ORCID: 0000-0001-6143-5903, Cuevas Ruiz, Pilar, Rello, Luz and Sanz, Ismael (2025) Artificial intelligence in education: computer-assisted learning and AI-guided tutors. Italian Economic Journal. ISSN 2199-322X (In Press)

Text (Italian Economic Journal. 2nd September_AS. Last version) - Accepted Version Pending embargo until 1 January 2100. Available under License Creative Commons Attribution. Download (778kB)

Abstract

Artificial Intelligence (AI) and Computer-Assisted Learning (CAL) offer powerful tools to improve foundational skills and close educational gaps, with evidence showing meaningful gains in student performance, especially in mathematics. Recent advancements in these technologies have generated optimism about their transformative potential in classrooms worldwide. These technologies are increasingly being piloted at scale, reshaping the way teachers deliver content and students engage with material. However, their impact depends less on access to devices and more on how they are integrated into teaching—through curriculum alignment, teacher training, and interactive design that promotes active learning. Without careful implementation, these tools risk widening existing inequalities. Using new evidence from Italy, we show that digital divides in AI adoption persist across schools and regions, reflecting broader social and economic disparities. Our findings suggest that realising the potential of AI in education requires inclusive policies and targeted investment to ensure no student is left behind, and that the benefits of digital innovation are shared equitably.

Item Type:	Article
Additional Information:	© 2025 The Author(s)
Divisions:	Social Policy
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science L Education
JEL classification:	I - Health, Education, and Welfare > I2 - Education > I21 - Analysis of Education O - Economic Development, Technological Change, and Growth > O3 - Technological Change; Research and Development > O33 - Technological Change: Choices and Consequences; Diffusion Processes C - Mathematical and Quantitative Methods > C8 - Data Collection and Data Estimation Methodology; Computer Programs > C88 - Other Computer Software D - Microeconomics > D8 - Information, Knowledge, and Uncertainty > D83 - Search; Learning; Information and Knowledge; Communication; Belief
Date Deposited:	30 Oct 2025 12:54
Last Modified:	31 Oct 2025 13:24
URI:	http://eprints.lse.ac.uk/id/eprint/130010

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