Diagnóstico da inteligência cinestésica através da avaliação eletrónica inovadora da literacia em movimento baseada na dança laban

Autores

DOI:

https://doi.org/10.47197/retos.v80.118601

Palavras-chave:

Inteligência cinestésica, notação laban, alfabetização motora, avaliação eletrónica, educação em dança

Resumo

Introdução e Objectivo. A avaliação no ensino da dança deve integrar o conhecimento cognitivo e a motivação de execução para diagnosticar com precisão a inteligência cinestésica. O objetivo deste estúdio foi desenvolver um modelo inovador de avaliação eletrónica da literacia do movimento baseado na notação da dança Laban.

Metodologia. A investigação utilizou uma abordagem de Investigação e Desenvolvimento (I+D). O modelo foi concebido a partir de um grupo de foco com professores de Artes e Cultura e foi validado através do método Delphi com especialistas em dança, informática e avaliação educativa. A tentativa de campo envolveu 79 alunos do ensino secundário em cinco regiões de Yakarta. Os dados são analisados ​​de forma descritiva e correlacional.

Resultados. As pontuações de conhecimento oscilavam entre os 20 e os 100, com uma média de 70. O padrão de desempenho apresentava variações, influenciadas em parte pelas limitações tecnológicas. O sistema de pontuação automática proporcionou uma retroalimentação imediata. A aceitação dos utilizadores foi elevada, desestabilizando a usabilidade e o valor educativo.

Conclusões. O modelo de avaliação eletrónica baseado na notação Laban é válido e eficaz para diagnosticar a inteligência cinestésica. Esta abordagem oferece uma solução inovadora e significativa para a avaliação da aprendizagem do movimento na educação artística.

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02-07-2026

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Artigos de caráter científico: trabalhos de pesquisas básicas e/ou aplicadas.

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Triana, D. D., Budiawan, H., Arthur, R. ., Ramdani, I. L., & Irianty, R. (2026). Diagnóstico da inteligência cinestésica através da avaliação eletrónica inovadora da literacia em movimento baseada na dança laban. Retos, 80, 324-342. https://doi.org/10.47197/retos.v80.118601