Digital Competence in University Lecturers: A Meta-Analysis of Teaching Challenges
This meta-analysis (random effects) studies the self-perceived digital competence of university lecturers in university teaching, using 7470 lecturers from Europe and Latin America collected in K = 31 samples, with teaching experience of between 6 and 15 years. The effect size obtained from a modera...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-05-01
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| Series: | Education Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2227-7102/13/5/508 |
| _version_ | 1797406212832100352 |
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| author | Marta Liesa-Orus Raquel Lozano Blasco Lorena Arce-Romeral |
| author_facet | Marta Liesa-Orus Raquel Lozano Blasco Lorena Arce-Romeral |
| author_sort | Marta Liesa-Orus |
| collection | DOAJ |
| description | This meta-analysis (random effects) studies the self-perceived digital competence of university lecturers in university teaching, using 7470 lecturers from Europe and Latin America collected in K = 31 samples, with teaching experience of between 6 and 15 years. The effect size obtained from a moderate random effects model of r = −0.21 with a 99% confidence interval is significant, negative, and moderate, confirming the low competence level. The meta-regression results show that the area of knowledge plays an important role. The systematic review of the literature shows that the perception of ICTs is positive, while the level of competence is low, and there are institutional and training challenges to be solved. |
| first_indexed | 2024-03-09T03:23:05Z |
| format | Article |
| id | doaj.art-058eb8b0c3414add877ae14e48d232a4 |
| institution | Directory Open Access Journal |
| issn | 2227-7102 |
| language | English |
| last_indexed | 2024-03-09T03:23:05Z |
| publishDate | 2023-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Education Sciences |
| spelling | doaj.art-058eb8b0c3414add877ae14e48d232a42023-12-03T15:06:05ZengMDPI AGEducation Sciences2227-71022023-05-0113550810.3390/educsci13050508Digital Competence in University Lecturers: A Meta-Analysis of Teaching ChallengesMarta Liesa-Orus0Raquel Lozano Blasco1Lorena Arce-Romeral2Science Education, Zaragoza University, 22003 Huesca, SpainPsychology and Sociology, Zaragoza University, 50009 Zaragoza, SpainSpanish Language, Valladolid University, 42004 Soria, SpainThis meta-analysis (random effects) studies the self-perceived digital competence of university lecturers in university teaching, using 7470 lecturers from Europe and Latin America collected in K = 31 samples, with teaching experience of between 6 and 15 years. The effect size obtained from a moderate random effects model of r = −0.21 with a 99% confidence interval is significant, negative, and moderate, confirming the low competence level. The meta-regression results show that the area of knowledge plays an important role. The systematic review of the literature shows that the perception of ICTs is positive, while the level of competence is low, and there are institutional and training challenges to be solved.https://www.mdpi.com/2227-7102/13/5/508meta-analysisICTsteachinguniversity |
| spellingShingle | Marta Liesa-Orus Raquel Lozano Blasco Lorena Arce-Romeral Digital Competence in University Lecturers: A Meta-Analysis of Teaching Challenges Education Sciences meta-analysis ICTs teaching university |
| title | Digital Competence in University Lecturers: A Meta-Analysis of Teaching Challenges |
| title_full | Digital Competence in University Lecturers: A Meta-Analysis of Teaching Challenges |
| title_fullStr | Digital Competence in University Lecturers: A Meta-Analysis of Teaching Challenges |
| title_full_unstemmed | Digital Competence in University Lecturers: A Meta-Analysis of Teaching Challenges |
| title_short | Digital Competence in University Lecturers: A Meta-Analysis of Teaching Challenges |
| title_sort | digital competence in university lecturers a meta analysis of teaching challenges |
| topic | meta-analysis ICTs teaching university |
| url | https://www.mdpi.com/2227-7102/13/5/508 |
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