Enhancing MILAGE LEARN+ with Machine Learning to improve students’ performance
Students currently attending school were born after the year 2000 and have grown up surrounded by technology, including smartphones, tablets, the Internet, video games, and social media. Typically, conventional educational activities in schools fail to engage these students, leading many of them to struggle academically. This paper presents the strategy adopted by the free MILAGE LEARN+ platform to address these challenges. Artificial Intelligence supports learning personalization by recommending suitable activities tailored to each student’s individual needs, enabling both lower-performing and higher-performing learners to enhance their academic progress. This paper investigates how Artificial Intelligence, specifically through various machine learning methods, can enrich the learning experience offered by the MILAGE LEARN+ platform. Several machine learning approaches are evaluated and analysed based on data from the platform and student outcomes collected during a Mathematics course.
Authors
- Paula Ventura Martins (ORCID: https://orcid.org/0000-0002-3199-4517)
- Mauro Figueiredo (ORCID: https://orcid.org/0000-0001-9394-4868)
- Marielba Zacarias (ORCID: https://orcid.org/0000-0003-1640-2963)
- José Rodrigues (ORCID: https://orcid.org/0000-0002-2793-8192)
- Daniela Milharó
Institutions
- University of Algarve (PT)
Publication Details
- Published
- 2025-08-07
- DOI
- https://doi.org/10.1109/acdsa65407.2025.11165961
- Citations
- 2
- Primary Topic
- Technology-Enhanced Education Studies
- Type
- article
- Field-Weighted Citation Impact
- 17.85