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

Joe Llerena-Izquierdo, Raquel Ayala-Carabajo

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publicationEDUNINE 2022 - 6th IEEE World Engineering Education Conference
Subtitle of host publicationRethinking Engineering Education After COVID-19: A Path to the New Normal, Proceedings
EditorsClaudio da Rocha Brito, Melany M. Ciampi
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665483360
ISBN (Print)9781665483360
DOIs
StatePublished - 2022
Event6th IEEE World Engineering Education Conference, EDUNINE 2022 - Santos, Brazil
Duration: 13 Mar 202216 Mar 2022

Publication series

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

Conference

Conference6th IEEE World Engineering Education Conference, EDUNINE 2022
Country/TerritoryBrazil
CitySantos
Period13/03/2216/03/22

Bibliographical note

Funding Information:
ACKNOWLEDGMENT We thank the young university students involved in this research study, the Universidad Politécnica Salesiana for their support of this work and the Vice Rectorate for Research of the university for the constant follow-up received.

Publisher Copyright:
© 2022 IEEE.

Keywords

  • collective intelligence
  • COVID-19
  • Crowdlearning
  • Technology enhanced learning

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