Ensaio: Avaliação e Políticas Públicas em Educação
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Análise de aprendizagem e personalização de aprendizagem: uma revisão
Resumo
A Educação no século XXI está cada vez mais mediada pelas tecnologias digitais em um contexto em que enormes quantidades de informação são geradas diariamente. Nesse sentido, considerando a iminente aplicação de tendências emergentes, como a “Internet das Coisas” (IoT), o estudo de seus efeitos educacionais torna-se uma questão de grande relevância tanto para pesquisadores quanto para profissionais da Educação. Nesse contexto, o “Learning Analytics” adquire uma importância especial como uma perspectiva para abordar o tema supracitado, especialmente a partir de um tema muito relevante: a personalização da aprendizagem. Por isso, uma revisão sistemática da literatura sobre learning analytics publicada nas últimas décadas se torna importante para identificar o seu potencial como fator para fortalecer a personalização da aprendizagem. Os resultados mostram um conjunto de fatores chave que incluem aspectos relacionados à avaliação, utilização de quadros, redes sociais de aprendizagem e tutoria inteligente, e a importância do acompanhamento, feedback e apoio.
Palavras-chave
Referências
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DOI: http://dx.doi.org/10.1590/S0104-40362024003204234
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