2022
DOI: 10.3390/su142013261
|View full text |Cite
|
Sign up to set email alerts
|

Development and Validation of an E-Learning Education Model in the COVID-19 Pandemic: A Case Study in Secondary Education

Abstract: E-learning was crucial during the global lockdown. In this way, this article aims to propose and validate a holistic framework in which all the E-learning services are needed to ensure their effective implementation and use. To this end, an original 3S-T model, to measure E-learning success based on self-student assessment, was developed. This innovative model, which reinforces the existing theoretical framework of models, identifies a wide array of success predictors and relates them to various measures that … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
6
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
3

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(6 citation statements)
references
References 100 publications
(185 reference statements)
0
6
0
Order By: Relevance
“…The three most common principal subjects in the 39 reviewed papers were: exercises to define and describe e-learning as a concept (Adam et al, 2013;Al Zahrani & Kumar, 2015;Cardona-Román & Sánchez-Torres, 2011;Crescente & Lee, 2011;Denham et al, 2012;Grant, 2019;Hartley & Andújar, 2022;Ismuratova et al, 2017;Kergel & Heidkamp-Kergel, 2021;Khoury et al, 2011;Kumar Basak et al, 2018;Li, 2018;Mirmoghtadaie et al, 2019;Moore et al, 2011;Nagy, 2016;Rodrigues et al, 2019;Vagarinho, 2020;Vagarinho, 2018)); descriptions of the concept or implementation of specific e-learning programmes (Al-rahmi et al, 2015;Arzayeva et al, 2015;Kobewka et al, 2014;Launay-Vacher & Rieutord, 2014;Lewis et al, 2014;Martínez-Gómez et al, 2022); and, the use of artificial intelligence, machine learning, or semantic web technology to suggest and provide learning objects based on a learner's requirements (Ahmed et al, 2018;Kavitha & Lohani, 2019;Moubayed et al, 2018;Sengupta et al, 2021).…”
Section: Resultsmentioning
confidence: 99%
See 4 more Smart Citations
“…The three most common principal subjects in the 39 reviewed papers were: exercises to define and describe e-learning as a concept (Adam et al, 2013;Al Zahrani & Kumar, 2015;Cardona-Román & Sánchez-Torres, 2011;Crescente & Lee, 2011;Denham et al, 2012;Grant, 2019;Hartley & Andújar, 2022;Ismuratova et al, 2017;Kergel & Heidkamp-Kergel, 2021;Khoury et al, 2011;Kumar Basak et al, 2018;Li, 2018;Mirmoghtadaie et al, 2019;Moore et al, 2011;Nagy, 2016;Rodrigues et al, 2019;Vagarinho, 2020;Vagarinho, 2018)); descriptions of the concept or implementation of specific e-learning programmes (Al-rahmi et al, 2015;Arzayeva et al, 2015;Kobewka et al, 2014;Launay-Vacher & Rieutord, 2014;Lewis et al, 2014;Martínez-Gómez et al, 2022); and, the use of artificial intelligence, machine learning, or semantic web technology to suggest and provide learning objects based on a learner's requirements (Ahmed et al, 2018;Kavitha & Lohani, 2019;Moubayed et al, 2018;Sengupta et al, 2021).…”
Section: Resultsmentioning
confidence: 99%
“…Some of the definitions say that e-learning is web-or internet-based, without mentioning other methods of content delivery (Ismuratova et al, 2017;Kavitha & Lohani, 2019;Kirkova, 2017;Rodrigues et al, 2019). Other definitions specify a wider variety of technologies, like the internet, Local Area Networks, tablets, smartphones, cloud systems, computers, TV, radio, cell phones, CDs, CD-ROMs, or DVDs (Crescente & Lee, 2011; Khoury et al, 2011;Martínez-Gómez et al, 2022). Six of the definitions put technology at their core, with other factors having secondary importance (Ismuratova et al, 2017;Kavitha & Lohani, 2019;Kobewka et al, 2014;Moubayed et al, 2018;Rodrigues et al, 2019;Sangra & Fernandez-Michels, 2011).…”
Section: Technologymentioning
confidence: 99%
See 3 more Smart Citations