There are no files associated with this item.
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.citation.endPage | 1492 | - |
dc.citation.number | 5 | - |
dc.citation.startPage | 1481 | - |
dc.citation.title | COMPUTER APPLICATIONS IN ENGINEERING EDUCATION | - |
dc.citation.volume | 26 | - |
dc.contributor.author | Lim, Sunghoon | - |
dc.contributor.author | Tucker, Conrad S. | - |
dc.contributor.author | Jablokow, Kathryn | - |
dc.contributor.author | Pursel, Bart | - |
dc.date.accessioned | 2023-12-21T20:15:16Z | - |
dc.date.available | 2023-12-21T20:15:16Z | - |
dc.date.created | 2018-08-21 | - |
dc.date.issued | 2018-09 | - |
dc.description.abstract | Due to the increasing global availability of the internet, online learning platforms such as Massive Open Online Courses (MOOCs), have become a new paradigm for distance learning in engineering education. While interactions between instructors and students are readily observable in a physical classroom environment, monitoring student engagement is challenging in MOOCs. Monitoring student engagement and measuring its impact on student performance are important for MOOC instructors, who are focused on improving the quality of their courses. The authors of this work present a semantic network model for measuring the different word associations between instructors and students in order to measure student engagement in MOOCs. Correlation analysis is then performed for identifying how student engagement in MOOCs affect student performance. Real-world MOOC transcripts and MOOC discussion forum data are used to evaluate the effectiveness of this research. | - |
dc.identifier.bibliographicCitation | COMPUTER APPLICATIONS IN ENGINEERING EDUCATION, v.26, no.5, pp.1481 - 1492 | - |
dc.identifier.doi | 10.1002/cae.22033 | - |
dc.identifier.issn | 1061-3773 | - |
dc.identifier.scopusid | 2-s2.0-85050672824 | - |
dc.identifier.uri | https://scholarworks.unist.ac.kr/handle/201301/24669 | - |
dc.identifier.url | https://onlinelibrary.wiley.com/doi/abs/10.1002/cae.22033 | - |
dc.identifier.wosid | 000445448000035 | - |
dc.language | 영어 | - |
dc.publisher | WILEY-BLACKWELL | - |
dc.title | A semantic network model for measuring engagement and performance in online learning platforms | - |
dc.type | Article | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordAuthor | Correlation analysis | - |
dc.subject.keywordAuthor | Discussion forums | - |
dc.subject.keywordAuthor | MOOC | - |
dc.subject.keywordAuthor | Semantic network | - |
dc.subject.keywordAuthor | Student engagement | - |
Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Tel : 052-217-1404 / Email : scholarworks@unist.ac.kr
Copyright (c) 2023 by UNIST LIBRARY. All rights reserved.
ScholarWorks@UNIST was established as an OAK Project for the National Library of Korea.