Um framework de classificação de complexidade para infográficos
DOI:
https://doi.org/10.5753/rbie.2019.27.01.196Keywords:
Infográficos, Classificação, Complexidade, Aprendizado, FrameworkAbstract
Os infográficos passaram a ser empregados como material de apoio ao ensino devido a sua natureza informativa. As evidências empíricas mostram que o uso desse formato de visualização afeta o aprendizado e o interesse dos alunos. No entanto, ainda é necessário fornecer maiores detalhes sobre os parâmetros que garantem os resultados positivos. Um desses parâmetros é complexidade dos infográficos. Logo, é preciso obter informações sobre o impacto de infográficos com diferentes níveis de complexidade no aprendizado. Observando a ausência de diretrizes que pudessem ser aplicadas para classificar a complexidade de infográficos, este trabalho propôs um framework que considera três dimensões (visual, verbal e conceitual) e o utiliza para pontuar infográficos, gerando uma medida de complexidade. Para avaliar o framework foi realizado um experimento controlado cujo objetivo foi verificar se a complexidade medida representa a real complexidade pro usuário. Analisando os resultados verificou-se que, de fato, os usuários aprenderam mais a partir de infográficos classificados como de baixa e média complexidade. Conclui-se que o fator complexidade do infográfico afeta o aprendizado e deve ser considerado por professores e criadores de conteúdo na decisão de se utilizar infográficos como materiais de aprendizagem.
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Copyright (c) 2019 Kamila Takayama Lyra, Rachel Reis, Wilmax Marreiro Cruz, Seiji Isotani
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