Page 78 - International Perspectives on Effective Teaching and Learning in Digital Education

Vesna Ferk Savec and Sanja Jedrinović

Biotechnical Faculty
KLASIUS-P1
Faculty of Architecture
KLASIUS-P2 Faculty of Architecture,
Areas of educational activities (KLASIUS KLASIUS-P5 Faculty of Education
Faculty of Computer Science
Faculty of Arts

-P) KLASIUS-P3 Faculty of Economics
and Business
KLASIUS-P4
Faculty of Health Sciences
Faculty of Law
KLASIUS-P6

and Engineering
KLASIUS-P7
0 1 2 3 4 5 6 7 8 9 Faculty of Natural Sciences
Number of study programes

Figure 1 Number of Study Programmes in the Various Faculties of the University of Ljubljana
According to the KLASIUS–P Classification.

the relatively low frequency indicates that AI in these areas is still at an early
stage or is rather specialised.
Finally, KLASIUS-P7 reported only 1 case of AI use. The use of AI in health
education holds great potential but may slow down due to regulatory con-
cerns, ethical considerations and the need for validated results in sensitive
environments with humans.
Further details in Table  point to the level of study of AI implementation
in pedagogical process. More than two-thirds, namely 17 out of 6 reported
practices, are integrated in the second study cycle, while 8 reported practices
are from the first study cycle. However, it is important to note that the latter
varies from faculty to faculty.

RQ2 How is AI used in specific areas of educational activities according
to the KLASIUS-P classification and which SDGs does it target?
The analysis of 6 reported practices of AI implementation in the pedagog-
ical process at the University of Ljubljana shows that 11 out of 17 SDGs were
targeted. Figure  shows that most SDGs are associated with the pillars of
Economy (SDGs 8-1, SDG 1, SDG 17) and Society (SDGs 3 - 4, SDG 11, SDG 16)
and only rarely with the SDGs related to the Environment (SDG 13, SDG 15).

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