Resumen
The Learning Management Systems (LMS) have garnered attention in Higher Education due to their significant potential as a robust learning tool; however, their
mere existence does not guarantee adoption and acceptance. The objective of this
study was to analyze quantitative research on the intention and usage of LMS
among university professors. The method employed was a systematic review following PRISMA guidelines. Databases such as Scopus, WOS, EBSCOhost, and
SciElo were explored from 2013 to 2023. The results indicated that (a) the most
frequent objective was to determine factors influencing LMS usage, (b) the average
number of participants was 239, (c) the highest productivity (61%) was observed
in Asia, (d) the most common limitation about the sample, (e) the most frequently
used theoretical model (69%) was the Technology Acceptance Model, (f) the models also included other variables grouped into personal, technological, social, and
institutional factors; (g) The predictive power of the models on LMS usage intention was moderate, while for current LMS usage, it ranged from small to moderate;
(h) measurements were self-reported; (i) ultimately, the majority measured only
the intention of LMS usage (54%), 15% measured only the current usage of LMS,
and 31% measured both. In conclusion, limitations, future research directions, and
recommendations for the integration and consolidation of LMS usage by faculty
are presented.
mere existence does not guarantee adoption and acceptance. The objective of this
study was to analyze quantitative research on the intention and usage of LMS
among university professors. The method employed was a systematic review following PRISMA guidelines. Databases such as Scopus, WOS, EBSCOhost, and
SciElo were explored from 2013 to 2023. The results indicated that (a) the most
frequent objective was to determine factors influencing LMS usage, (b) the average
number of participants was 239, (c) the highest productivity (61%) was observed
in Asia, (d) the most common limitation about the sample, (e) the most frequently
used theoretical model (69%) was the Technology Acceptance Model, (f) the models also included other variables grouped into personal, technological, social, and
institutional factors; (g) The predictive power of the models on LMS usage intention was moderate, while for current LMS usage, it ranged from small to moderate;
(h) measurements were self-reported; (i) ultimately, the majority measured only
the intention of LMS usage (54%), 15% measured only the current usage of LMS,
and 31% measured both. In conclusion, limitations, future research directions, and
recommendations for the integration and consolidation of LMS usage by faculty
are presented.
| Idioma original | Inglés |
|---|---|
| Páginas (desde-hasta) | 1-27 |
| Número de páginas | 27 |
| Publicación | Journal of Computers in Education |
| DOI | |
| Estado | Publicada - 2024 |
Focos Estratégicos
- Sociedad Digital y Competitividad (SocietalIA)
Clasificación de Articulo
- Artículo completo de investigación
Indexación Internacional (Artículo)
- ISI Y SCOPUS
Scopus-Q Quartil
- Q1
ISI- Q Quartil
- Q1
Categoría Publindex
- A1