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

doi:10.1109/EDUNINE53672.2022.9782381

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

Research Group in Teaching-Learning of Sciences for Engineering (GIEACI)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

9 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 language	English
Title of host publication	EDUNINE 2022 - 6th IEEE World Engineering Education Conference
Subtitle of host publication	Rethinking Engineering Education After COVID-19: A Path to the New Normal, Proceedings
Editors	Claudio da Rocha Brito, Melany M. Ciampi
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665483360
ISBN (Print)	9781665483360
DOIs	https://doi.org/10.1109/EDUNINE53672.2022.9782381
State	Published - 2022
Event	6th IEEE World Engineering Education Conference, EDUNINE 2022 - Santos, Brazil Duration: 13 Mar 2022 → 16 Mar 2022

Publication series

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

Conference

Conference	6th IEEE World Engineering Education Conference, EDUNINE 2022
Country/Territory	Brazil
City	Santos
Period	13/03/22 → 16/03/22

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

CACES Knowledge Areas

116A Computer Science

Access to Document

10.1109/EDUNINE53672.2022.9782381

Cite this

Llerena-Izquierdo, J., & Ayala-Carabajo, R. (2022). Crowdlearning as a performance support strategy for first-year college students in eLearning environments during the COVID-19 pandemic. In C. D. R. Brito, & M. M. Ciampi (Eds.), EDUNINE 2022 - 6th IEEE World Engineering Education Conference: Rethinking Engineering Education After COVID-19: A Path to the New Normal, Proceedings (EDUNINE 2022 - 6th IEEE World Engineering Education Conference: Rethinking Engineering Education After COVID-19: A Path to the New Normal, Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EDUNINE53672.2022.9782381

Llerena-Izquierdo, Joe ; Ayala-Carabajo, Raquel. / Crowdlearning as a performance support strategy for first-year college students in eLearning environments during the COVID-19 pandemic. EDUNINE 2022 - 6th IEEE World Engineering Education Conference: Rethinking Engineering Education After COVID-19: A Path to the New Normal, Proceedings. editor / Claudio da Rocha Brito ; Melany M. Ciampi. Institute of Electrical and Electronics Engineers Inc., 2022. (EDUNINE 2022 - 6th IEEE World Engineering Education Conference: Rethinking Engineering Education After COVID-19: A Path to the New Normal, Proceedings).

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

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.",

keywords = "collective intelligence, COVID-19, Crowdlearning, Technology enhanced learning",

author = "Joe Llerena-Izquierdo and Raquel Ayala-Carabajo",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 6th IEEE World Engineering Education Conference, EDUNINE 2022 ; Conference date: 13-03-2022 Through 16-03-2022",

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doi = "10.1109/EDUNINE53672.2022.9782381",

language = "English",

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Llerena-Izquierdo, J & Ayala-Carabajo, R 2022, Crowdlearning as a performance support strategy for first-year college students in eLearning environments during the COVID-19 pandemic. in CDR Brito & MM Ciampi (eds), EDUNINE 2022 - 6th IEEE World Engineering Education Conference: Rethinking Engineering Education After COVID-19: A Path to the New Normal, Proceedings. EDUNINE 2022 - 6th IEEE World Engineering Education Conference: Rethinking Engineering Education After COVID-19: A Path to the New Normal, Proceedings, Institute of Electrical and Electronics Engineers Inc., 6th IEEE World Engineering Education Conference, EDUNINE 2022, Santos, Brazil, 13/03/22. https://doi.org/10.1109/EDUNINE53672.2022.9782381

Crowdlearning as a performance support strategy for first-year college students in eLearning environments during the COVID-19 pandemic. / Llerena-Izquierdo, Joe ; Ayala-Carabajo, Raquel.
EDUNINE 2022 - 6th IEEE World Engineering Education Conference: Rethinking Engineering Education After COVID-19: A Path to the New Normal, Proceedings. ed. / Claudio da Rocha Brito; Melany M. Ciampi. Institute of Electrical and Electronics Engineers Inc., 2022. (EDUNINE 2022 - 6th IEEE World Engineering Education Conference: Rethinking Engineering Education After COVID-19: A Path to the New Normal, Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Crowdlearning as a performance support strategy for first-year college students in eLearning environments during the COVID-19 pandemic

AU - Llerena-Izquierdo, Joe

AU - Ayala-Carabajo, Raquel

PY - 2022

Y1 - 2022

N2 - 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.

AB - 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.

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M3 - Conference contribution

AN - SCOPUS:85132254068

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T3 - EDUNINE 2022 - 6th IEEE World Engineering Education Conference: Rethinking Engineering Education After COVID-19: A Path to the New Normal, Proceedings

BT - EDUNINE 2022 - 6th IEEE World Engineering Education Conference

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A2 - Ciampi, Melany M.

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 6th IEEE World Engineering Education Conference, EDUNINE 2022

Y2 - 13 March 2022 through 16 March 2022

ER -

Llerena-Izquierdo J , Ayala-Carabajo R. Crowdlearning as a performance support strategy for first-year college students in eLearning environments during the COVID-19 pandemic. In Brito CDR, Ciampi MM, editors, EDUNINE 2022 - 6th IEEE World Engineering Education Conference: Rethinking Engineering Education After COVID-19: A Path to the New Normal, Proceedings. Institute of Electrical and Electronics Engineers Inc. 2022. (EDUNINE 2022 - 6th IEEE World Engineering Education Conference: Rethinking Engineering Education After COVID-19: A Path to the New Normal, Proceedings). doi: 10.1109/EDUNINE53672.2022.9782381

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

Abstract

Publication series

Conference

Bibliographical note

Keywords

CACES Knowledge Areas

Access to Document

Other files and links

Fingerprint

Design of a Research Training Methodology for Engineering Students (FINVE+I)

Cite this

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

Abstract

Publication series

Conference

Bibliographical note

Keywords

CACES Knowledge Areas

Access to Document

Other files and links

Fingerprint

Projects

Design of a Research Training Methodology for Engineering Students (FINVE+I)

Cite this