Tecnologias de Computação para Ensino e Aprendizagem Autodirigida: Oportunidades, Problemas e Mecanismos de Enfrentamento

Autores

  • Elizabeth Lascano Benguet State University, Philippines
  • Divina Yango Benguet State University, Philippines. d.yango@bsu.edu.ph 

DOI:

https://doi.org/10.48017/dj.v10i3.3388

Palavras-chave:

Tecnologias Computacionais, Ensino, Aprendizagem, Oportunidades e Problemas, Estratégias de Enfrentamento

Resumo

A demanda pelo uso de tecnologias computacionais na educação foi amplificada quando a pandemia atingiu o mundo. Apesar das oportunidades derivadas do uso dessas tecnologias, os problemas encontrados podem prejudicar a eficácia da instrução e da aprendizagem autodirigida. Com isso, há uma necessidade de analisar as oportunidades, os problemas e as estratégias de enfrentamento vivenciadas por professores e alunos. Os entrevistados incluem 69 membros do corpo docente e 414 estudantes universitários matriculados em vários programas de graduação em uma universidade estadual nas Filipinas. O estudo utilizou um levantamento descritivo e um delineamento de pesquisa correlacional. O estudo revela que tanto professores quanto alunos usam intensamente tecnologias computacionais (hardware/software) que os beneficiaram. Consequentemente, tanto professores quanto alunos reconheceram que as tecnologias computacionais apresentam problemas. Não há correlação significativa entre as oportunidades e os problemas para os alunos, no entanto, correlações significativas a altamente significativas foram observadas para os professores. Professores e alunos usam estratégias de enfrentamento variadas para lidar com os problemas encontrados e são altamente eficazes. Associado a isso, há um alto grau de influência de fatores nas estratégias de enfrentamento dos entrevistados. O suporte de especialistas, a disponibilidade e acessibilidade de recursos tecnológicos, bem como a exposição a atividades de desenvolvimento de aprendizagem são suporte essencial para que professores e alunos lidem efetivamente com os desafios encontrados.

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Biografia do Autor

Elizabeth Lascano, Benguet State University, Philippines

0000-0002-9527-2388; Benguet State University, Philippines. e.lascano@bsu.edu.ph 

Divina Yango, Benguet State University, Philippines. d.yango@bsu.edu.ph 

0000-0002-2156-402X; Benguet State University, Philippines. d.yango@bsu.edu.ph 

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Publicado

2025-08-15

Como Citar

Lascano, E., & Yango, D. (2025). Tecnologias de Computação para Ensino e Aprendizagem Autodirigida: Oportunidades, Problemas e Mecanismos de Enfrentamento. Diversitas Journal, 10(3). https://doi.org/10.48017/dj.v10i3.3388