The Effectiveness of AI-Enhanced Web-Based Interactive Learning Media in Improving Numeracy Skills: A Systematic Literature Review (SLR)
Ahmad Arifuddin (1*), Hepsi Nindiasari (2), Maman Fathurrohman (3), Abdul Fatah (4)

Sultan Ageng Tirtayasa University

Abstract

The integration of Artificial Intelligence (AI) into web-based educational platforms has redefined the landscape of modern mathematics education. While conventional web media provide only basic interactivity, AI-enhanced platforms offer personalized learning pathways and adaptive scaffolding systems. This advancement has the potential to bring significant changes in the development of students^ numeracy skills, particularly in addressing increasingly complex real-world contexts. This study adopts a Systematic Literature Review (SLR) approach aimed at systematically identifying, analyzing, and reviewing relevant scholarly articles. The data collection process involved a rigorous selection of articles from reputable national and international databases, including Sinta Kemdiktisaintek, Scopus, Web of Science, and ERIC. A total of 20 articles published between 2020 and 2026 were analyzed, with a focus on the empirical implementation of AI technologies in enhancing mathematical numeracy skills. The results indicate that AI-based web learning media are significantly more effective than static web platforms in improving students^ numeracy achievement. These findings confirm that AI^s instant feedback mechanisms and adaptive capabilities can create learning experiences that are more effective, autonomous, and responsive to individual students^ needs in the current digital era.

Keywords: Artificial Intelligence in Education (AIEd), Web-Based Learning, Numeracy Skills, Adaptive Learning, Systematic Literature Review (SLR).

Topic: AI for Learning