2021
DOI: 10.3233/faia210088
|View full text |Cite
|
Sign up to set email alerts
|

Data Mining for Improving Online Higher Education Amidst COVID-19 Pandemic: A Case Study in the Assessment of Engineering Students

Abstract: Instructional materials, internet accessibility, student involvement and communication have always been integral characteristics of e-learning. During the transition from face-to-face to COVID-19 new online learning environments, the lectures and laboratories at universities have taken place either synchronously (using platforms, like MS Teams) or asynchronously (using platforms, like Moodle). In this study, a case study of a Greek university on the online assessment of learners is presented. As a testbed of t… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2022
2022
2023
2023

Publication Types

Select...
2
1

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(1 citation statement)
references
References 14 publications
(15 reference statements)
0
1
0
Order By: Relevance
“…In [17], the authors present how they integrated their methodology into a sustainable educational academic process. Findings on online education during the COVID-19 pandemic published abroad could be applied also in the analysis and evaluation of online and hybrid learning in the corporate sector [18], [19].…”
Section: Forms Of Continuous Professional Training In Companiesmentioning
confidence: 99%
“…In [17], the authors present how they integrated their methodology into a sustainable educational academic process. Findings on online education during the COVID-19 pandemic published abroad could be applied also in the analysis and evaluation of online and hybrid learning in the corporate sector [18], [19].…”
Section: Forms Of Continuous Professional Training In Companiesmentioning
confidence: 99%