How Knowledge Stock Exchanges can increase student success in Massive Open Online Courses.
Journal
PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081
Informations de publication
Date de publication:
2019
2019
Historique:
received:
29
03
2019
accepted:
12
09
2019
entrez:
27
9
2019
pubmed:
27
9
2019
medline:
13
3
2020
Statut:
epublish
Résumé
Massive Open Online Courses (MOOCs) allow lecturers to overcome spatiotemporal boundaries and reach large numbers of participants. However, the completion rates of MOOCs are relatively low, a critical obstacle to their ultimate success. Existing literature suggests that strengthening student interaction has the potential to increase student commitment. The goal of this study is to develop a novel, market-based knowledge-sharing method that fosters student engagement and interaction in MOOCs, addressing the problem of low completion rates and demonstrating how MOOC engagement can lead to greater student success. The proposed method, "Knowledge Stock Exchange" (KSX), is derived from the concept of crowd-based intelligence mechanisms for incentive-compatible information aggregation. Using a popular MOOC as the focus of our empirical study, we show that the KSX method increases student interaction as well as MOOC completion rates. Moreover, we find that KSX participation has a significant positive effect on participants' exam grades.
Identifiants
pubmed: 31557244
doi: 10.1371/journal.pone.0223064
pii: PONE-D-19-08958
pmc: PMC6762193
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
e0223064Déclaration de conflit d'intérêts
The authors have declared that no competing interests exist.
Références
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