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Examining the affordances of Massive Open Online Practical (MOOP) platforms for individual and collaborative learning.

Authors :
Du, Yanglin
Yu, Xiaodan
Li, Jimei
Source :
Procedia Computer Science; 2024, Vol. 242, p1394-1401, 8p
Publication Year :
2024

Abstract

Purpose - This paper aims to explore the affordances of Massive Open Online Practical (MOOP) platforms in individual and collaborative learning. The purpose of this exploration is to enhance our understanding of MOOP platforms in achieving success in individual and collaborative learning. Design/methodology/approach - Qualitative data is collected by a survey of 37 undergraduate students in China. This paper extracts the affordances of MOOP platforms identified from participant feedback. Findings - this paper identifies 8 themes of MOOP affordances for individual and collaborative learning, among which the affordances for individual learning includes: practicality, informing, motivation, and efficiency; The affordances of collaborative learning includes share resources, learning pathway, synthesis, monitoring and assessment. In addition, this study provides insights into the complexity of individual and collaborative learning, and also provides advice for the future of MOOP platforms. Originality/value - This study has analyzed a unique set of data to elucidate the experiences of participants in MOOP platforms and contributed by exploring future impacts. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
18770509
Volume :
242
Database :
Supplemental Index
Journal :
Procedia Computer Science
Publication Type :
Academic Journal
Accession number :
179171398
Full Text :
https://doi.org/10.1016/j.procs.2024.08.114