| Title: | Synergy of beliefs between social-emotional learning and the use of artificial intelligence systems in schools : a cluster typology analysis among students |
|---|
| Authors: | ID Zurc, Joca (Author) |
|---|
| Files: |  RAZ_Zurc_Joca_2024.pdf (795,52 KB)
MD5: 85F77C13B626858952FA79CF41D28CCF
 https://www.verlagdrkovac.de/open-access/13814/Licardo-Lipovec-Artificial-Intelligence-Literacy-Social-Emotional-Skills-Transversal-Competencies-Education.pdf
|
|---|
| Language: | English |
|---|
| Work type: | Scientific work |
|---|
| Typology: | 1.16 - Independent Scientific Component Part or a Chapter in a Monograph |
|---|
| Organization: | FF - Faculty of Arts
|
|---|
| Abstract: | Today’s remarkable technological development challenges the teaching profession to develop new approaches to meet student needs for living in a rapidly growing digital society. The functionality of teachers becomes crucial, particularly related to their transversal competencies, such as the competence in using artificial intelligence (AI) systems and competence in developing social-emotional learning (SEL) in students. In this study, we were interested in the synergy between SEL beliefs and attitudes towards AI in teaching from the perspective of students (pre-service teachers). An empirical, quantitative online survey was conducted on 328 university students in pedagogical study programs (80.2% female, Mage=21.55 years). The findings showed that students assessed themselves as more competent in using SEL than AI in teaching. Hierarchical cluster analysis revealed three groups of students related to the SEL and AI synergy, such as “SEL & AI advocates”, “SEL- believers & AI-sceptics”, and “SEL & AI sceptics”. The findings of this study are significant for the understanding that SEL can significantly contribute to innovative thinking about the use of AI in schools and its integration into human lives. |
|---|
| Keywords: | pedagogical students, social-emotional competencies, digital competencies, hierarchical cluster analyses |
|---|
| Publication status: | Published |
|---|
| Publication version: | Version of Record |
|---|
| Publisher: | Verlag Dr. Kovač |
|---|
| Year of publishing: | 2024 |
|---|
| Number of pages: | Str. 145-163 |
|---|
| PID: | 20.500.12556/DKUM-95982  |
|---|
| UDC: | 37.018:004.8 |
|---|
| COBISS.SI-ID: | 190864131 |
|---|
| Publication date in DKUM: | 05.02.2026 |
|---|
| Views: | 137 |
|---|
| Downloads: | 4 |
|---|
| Metadata: |    |
|---|
| Categories: | Misc.
|
|---|
|
:
|
Copy citation |
|---|
| | | | Average score: | (0 votes) |
|---|
| Your score: | Voting is allowed only for logged in users. |
|---|
| Share: |  |
|---|
Hover the mouse pointer over a document title to show the abstract or click
on the title to get all document metadata. |
