Crowdlearning as a performance support strategy for first-year college students in eLearning environments during the COVID-19 pandemic

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Resumen

The Covid-19 pandemic, still present, has transformed the management of universities around the world. The teaching activity is actively seeking our strategies to ensure the quality of learning experiences. Thus, collaborative work has become essential to create innovative, responsible, and responsive knowledge. This paper presents a crowdlearning strategy to support the performance of first-year university students in eLearning environments. Empirical-analytical research with quantitative, quasi-experimental approach is conducted using the online survey technique with Likert scale to a sample of 216 students. With a confidence level of 99% and a margin of error of 1%, the results show that the applicability of the crowdlearning methodology in study groups and subgroups reaches 83% effectiveness and 95% satisfaction. The importance of the knowledge that is built in learning communities and how the crowdlearning methodology can contribute to the learning process in crowds is evidenced.

Idioma originalInglés
Título de la publicación alojadaEDUNINE 2022 - 6th IEEE World Engineering Education Conference
Subtítulo de la publicación alojadaRethinking Engineering Education After COVID-19: A Path to the New Normal, Proceedings
EditoresClaudio da Rocha Brito, Melany M. Ciampi
EditorialInstitute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)9781665483360
DOI
EstadoPublicada - 2022
Evento6th IEEE World Engineering Education Conference, EDUNINE 2022 - Santos, Brasil
Duración: 13 mar. 202216 mar. 2022

Serie de la publicación

NombreEDUNINE 2022 - 6th IEEE World Engineering Education Conference: Rethinking Engineering Education After COVID-19: A Path to the New Normal, Proceedings

Conferencia

Conferencia6th IEEE World Engineering Education Conference, EDUNINE 2022
País/TerritorioBrasil
CiudadSantos
Período13/03/2216/03/22

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© 2022 IEEE.

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