Palabras clave

Ciencia ciudadana, aprendizaje informal, algoritmos, automatización, educación, protección de la privacidad

Resumen

El interés y la práctica de la ciencia ciudadana (CC) ha aumentado en los últimos años. Esto ha derivado en el uso de páginas web como herramienta de comunicación, recolección o análisis datos o repositorio materiales y recursos. Desde una perspectiva educativa, se espera que al integrar información sobre proyectos de CC en un entorno educativo formal, se inspire a los maestros a crear actividades de aprendizaje. Este, es un caso interesante para usar bots que automaticen el proceso de extracción de datos de webs de CC que ayuden a comprender mejor su uso en contextos educativos. Aunque esta información está disponible públicamente, se deben seguir las reglas de la ley de protección de datos o GDPR. Este artículo tiene como objetivo explicar: 1) cómo la CC se comunica y promueve en los sitios web; 2) cómo se diseñan, desarrollan y aplican los métodos de web scraping y las técnicas de anonimización para recopilar información en línea; y 3) cómo se podrían usar estos datos con fines educativos. Tras el análisis de 72 webs algunos de los resultados son que solo el 24,8% incluye información detallada sobre el proyecto, y el 48,61% incluye información sobre propósitos o materiales educativos.

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Calvera-Isabal, M., Santos, P., Hoppe, H., & Schulten, C. (2023). How to automate the extraction and analysis of information for educational purposes. [Cómo automatizar la extracción y análisis de información sobre ciencia ciudadana con propósitos educativos]. Comunicar, 74. https://doi.org/10.3916/C74-2023-02

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