Balancing the Tension between Digital Technologies and Learning Sciences
Abstract
This volume focuses on the implications of digital technologies for educators and educational decision makers that is not widely represented in the literature. While there are many volumes on how one might integrate a particular technology, there are no volumes on how digital technologies can or should be exploited to address the needs and propel the benefits of large-scale teaching, learning and assessment.
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.
Effective communication and coordination supported by well-established patterns of interactions are vital to collaborative learning. The quality of social relationships among group members can affect group dynamics and communication, as well as further influence students’ learning experiences and perceived learning outcomes. In this study, we use an ego network approach to measure an individual’s social closeness with group members and examine effects on the individual’s collaborative learning experience. The data was collected through a survey with N = 120 university students. Our findings indicate that social closeness among group members has a positive effect on the perceived satisfaction of collaborative learning, as students with stronger social closeness with group members tend to be more satisfied with their collaborative learning experience. These results provide advanced theoretical insights for understanding the factors associated with the success of collaborative learning. Based on our findings, appropriate activities for strengthening social closeness among group members are suggested. Implications include pedagogical approaches for facilitating students’ collaborative learning experience and outcomes.KeywordsCollaborative learningGroup collaborationSocial closenessTie strengthSocial network analysis
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