Detailed Information on Publication Record
2024
Digital competences of social work degree students: an exploratory study based on a survey utilizing a triangulated voluntary sample
KYTKA, LukášBasic information
Original name
Digital competences of social work degree students: an exploratory study based on a survey utilizing a triangulated voluntary sample
Authors
KYTKA, Lukáš
Edition
SOCIAL WORK EDUCATION, ENGLAND, ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD, 2024, 0261-5479
Other information
Language
English
Type of outcome
Článek v odborném periodiku
Field of Study
50901 Other social sciences
Country of publisher
United Kingdom of Great Britain and Northern Ireland
Confidentiality degree
není předmětem státního či obchodního tajemství
References:
Impact factor
Impact factor: 1.800 in 2022
Organization unit
Faculty of Social Studies
Keywords in English
DigComp; digital competence; digital literacy; information literacy; ICT literacy; e-social work; university students
Tags
Tags
International impact, Reviewed
Změněno: 8/8/2024 16:25, Mgr. Lukáš Kytka
Abstract
V originále
In various countries, the digital competences of social work students are inadequately addressed within existing curricular frameworks. Addressing this gap necessitates a more nuanced understanding of the prevailing digital competence trends among these students, though the methodology for such measurement remains ambiguous. This study investigates the applicability of the DigComp 2.2 model for gauging the digital competence levels of social work students. Employing a predominantly quantitative-exploratory approach, data were gathered in the Czech Republic and Slovakia through a 22-item questionnaire designed to assess the five digital competence areas outlined in the DigComp v2.2 framework (N = 151). The analysis revealed a spectrum of competence levels, ranging from insufficient to relatively high across different areas. These findings were benchmarked against the only other known study utilizing the DigComp model on the social work student demographic, which employed the model in a relatively less rigorous manner, showing considerable alignment. Based on these insights, recommendations for enhancing future research methodologies are proposed.