PT Journal
AU CERNY, M
TI Digital competence through two courses at the Faculty of Arts: The Empirical Study
SO Journal of Technology and Information Education
PY 2019
BP 12
EP 27
VL 11
IS 1
DI 10.5507/jtie.2019.005
DE Digital Competence; Web Analytics; Google Analytics; DigComp; Self-Assessment.
AB The empirical study analysed data from two courses on digital competence at the Faculty of Arts, Masaryk University. Data was obtained through multiple research tools - tests in the MU information system, self-evaluation questionnaire, Google Analytics and Smartlook. It deals with the topic of digital competences, which theoretically frames DigComp 2.1. It is a quantitative case study on a sample of 144 people. In our case study, we have identified the following research questions: 1) How do students evaluate themselves as part of their digital competencies? 2) Is there a relationship between self-assessment and test results? 3) Can competence domains or individual competencies be identified in which students are significantly better or worse? 4) Can identify the relationship between user interactions with a website and test results and self-evaluation? The results of our research show a significant imbalance in how the students in digital competencies assessed: from 2.5 points out of 8 in programming to digital technology through cooperation with 4.7 points. At the same time, they suggest that students have significant problems with self-assessment as such. In terms of whole competence domains, students perceive themselves as the strongest in information and data literacy (4.5) and the weakest in problem-solving (3.4).
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