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| Format: | Artículo científico |
| Language: | en |
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Universidade Federal de Minas Gerais
2025
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| Online Access: | https://www.redalyc.org/articulo.oa?id=577182239014 https://www.redalyc.org/journal/5771/577182239014/ https://www.redalyc.org/journal/5771/577182239014/html/ https://www.redalyc.org/journal/5771/577182239014/577182239014.epub https://www.redalyc.org/journal/5771/577182239014/movil |
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| _version_ | 1866580613385945088 |
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| author | Lucio Agostinho Rocha |
| author_facet | Lucio Agostinho Rocha |
| contents | An evaluation of machine learning approaches in educational environments: a systematic literature review Lucio Agostinho Rocha Multidisciplinarias (Ciencias, Ciencias Sociales, Artes y Humanidades) Smart classroom Machine learning Learning processes Educational research Artificial Intelligence The goal of this article is to investigate how methodologies based on machine learning are being applied in educational environments to enhance the quality of learning in graduation courses. The method is presented through a systematic review of literature on the main methodologies of systems based on artificial intelligence applied in smart classrooms. The results indicate that in the popularization of machine learning, the widespread use of these technologies presents new challenges for educators as learning agents who investigate learning strategies alongside their learners. The learning with these recent technologies faces challenges regarding the veracity, soundness, and quality of information. In the classroom, it is important to take into account the legal aspects and ethics principles involved in these recent machine learning advances. Besides, these issues involve how popular platforms combine data from multiple sources to generate useful information with reduced human intervention. Nowadays, society lives connected to a myriad of interconnected computational devices. In this sense, the classrooms are evolving into learning spaces where students learn together in a collaborative way and shape soft-skills abilities, such as communication, relationship, and collaboration. 2025 artículo científico 1983-3652 https://www.redalyc.org/articulo.oa?id=577182239014 https://www.redalyc.org/journal/5771/577182239014/ https://www.redalyc.org/journal/5771/577182239014/html/ https://www.redalyc.org/journal/5771/577182239014/577182239014.epub https://www.redalyc.org/journal/5771/577182239014/movil 10.1590/1983-3652.2025.54910 en http://www.redalyc.org/revista.oa?id=5771 Texto Livre: Linguagem e Tecnologia application/pdf Universidade Federal de Minas Gerais Texto Livre: Linguagem e Tecnologia (Brasil) Vol.18 |
| format | Artículo científico |
| id | redalyc_577182239014 |
| language | en |
| publishDate | 2025 |
| publisher | Universidade Federal de Minas Gerais |
| spellingShingle | An evaluation of machine learning approaches in educational environments: a systematic literature review Lucio Agostinho Rocha Multidisciplinarias (Ciencias, Ciencias Sociales, Artes y Humanidades) Smart classroom Machine learning Learning processes Educational research Artificial Intelligence An evaluation of machine learning approaches in educational environments: a systematic literature review Lucio Agostinho Rocha Multidisciplinarias (Ciencias, Ciencias Sociales, Artes y Humanidades) Smart classroom Machine learning Learning processes Educational research Artificial Intelligence The goal of this article is to investigate how methodologies based on machine learning are being applied in educational environments to enhance the quality of learning in graduation courses. The method is presented through a systematic review of literature on the main methodologies of systems based on artificial intelligence applied in smart classrooms. The results indicate that in the popularization of machine learning, the widespread use of these technologies presents new challenges for educators as learning agents who investigate learning strategies alongside their learners. The learning with these recent technologies faces challenges regarding the veracity, soundness, and quality of information. In the classroom, it is important to take into account the legal aspects and ethics principles involved in these recent machine learning advances. Besides, these issues involve how popular platforms combine data from multiple sources to generate useful information with reduced human intervention. Nowadays, society lives connected to a myriad of interconnected computational devices. In this sense, the classrooms are evolving into learning spaces where students learn together in a collaborative way and shape soft-skills abilities, such as communication, relationship, and collaboration. 2025 artículo científico 1983-3652 https://www.redalyc.org/articulo.oa?id=577182239014 https://www.redalyc.org/journal/5771/577182239014/ https://www.redalyc.org/journal/5771/577182239014/html/ https://www.redalyc.org/journal/5771/577182239014/577182239014.epub https://www.redalyc.org/journal/5771/577182239014/movil 10.1590/1983-3652.2025.54910 en http://www.redalyc.org/revista.oa?id=5771 Texto Livre: Linguagem e Tecnologia application/pdf Universidade Federal de Minas Gerais Texto Livre: Linguagem e Tecnologia (Brasil) Vol.18 |
| title | An evaluation of machine learning approaches in educational environments: a systematic literature review |
| topic | Multidisciplinarias (Ciencias, Ciencias Sociales, Artes y Humanidades) Smart classroom Machine learning Learning processes Educational research Artificial Intelligence |
| url | https://www.redalyc.org/articulo.oa?id=577182239014 https://www.redalyc.org/journal/5771/577182239014/ https://www.redalyc.org/journal/5771/577182239014/html/ https://www.redalyc.org/journal/5771/577182239014/577182239014.epub https://www.redalyc.org/journal/5771/577182239014/movil |