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Orientador(es)
Resumo(s)
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 higherperforming 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.
Descrição
Palavras-chave
Artificial intelligence Mobile learning Selfassessment Peer assessment
Contexto Educativo
Citação
Editora
IEEE
Coleções
Licença CC
Sem licença CC