Related Experiment Video
Updated: Nov 11, 2025

Eye-tracking Technology and Data-mining Techniques used for a Behavioral Analysis of Adults engaged in Learning Processes
Published on: June 10, 2021
Digital competence of higher education professor according to DigCompEdu. Statistical research methods with ANOVA
Julio Cabero-Almenara1, Francisco D Guillén-Gámez2, Julio Ruiz-Palmero3
1University of Seville, Sevilla, Spain.
Abstract:
The tasks of the university educators must be linked to the digital demands posed by the more sophisticated professions of the twenty-first century. Faced with this panorama, the objective of this study is to examine and compare the degree of digital competence of Higher Education educators from different fields of knowledge and different age ranges according to the DigCompEdu framework. A non-probabilistic ex post facto sampling was utilized with 2180 university professors from Andalusia (Spain). The main results of the study provide evidence of an intermediate level of digital competence, for men and women. More specifically, the male professors in Architecture and Judicial & Social Sciences, younger and older than 40, possessed a higher level, as compared to the other fields. For the female professors, the highest level was found once again in Judicial and Social Sciences, in this case for both age ranges, without a clear trend found for the rest of the fields. For each dimension of the DigCompEdu instrument, the level of competence follows the same trend with respect to the overall level. More research is recommended to validate these preliminary results, as well as the development of training lines of action that are specific and adapted to each field of knowledge.
More Related Videos
12:55Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties
Published on: September 27, 2020
10:39Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning
Published on: August 29, 2025
Related Concept Videos
Statistical Methods to Analyze Parametric Data: ANOVA
One-way ANOVA is applied when a single independent variable or factor is scrutinized. It compares...
Measures of Intelligence
Validity refers to how well a test measures what it claims to measure. An intelligence test should accurately assess intelligence rather than another characteristic, like anxiety. Criterion validity is one way to evaluate this;...
Cognitive Development During Adulthood
What is an ANOVA?
Before performing ANOVA, one must ensure that the samples used for this analysis have three crucial characteristics or statistical assumptions. The first assumption states that the samples should be drawn from normally distributed samples, while the second requires that all the drawn samples should be randomly and...
Two-Way ANOVA
The two-way ANOVA analysis initially begins by stating the null hypothesis that there is an interaction effect between the two factors of a dataset. This effect can be visualized using line segments formed by joining the...
Cross-Sectional Research