Refereed article in conference proceedings (A4)
Propagating AI Knowledge Across University Disciplines- The Design of A Multidisciplinary AI Study Module
List of Authors: Samuli Laato, Henna Vilppu, Juho Heimonen, Antti Hakkala, Jari Björne, Ali Farooq, Tapio Salakoski, Antti Airola
Editors: N/A
Conference name: Frontiers in Education Conference
Publication year: 2020
Journal: Conference proceedings : Frontiers in Education Conference
Book title *: 2020 IEEE Frontiers in Education Conference (FIE)
ISBN: 978-1-7281-8962-8
eISBN: 978-1-7281-8961-1
ISSN: 1539-4565
DOI: http://dx.doi.org/10.1109/FIE44824.2020.9273940
Self-archived copy’s web address: https://research.utu.fi/converis/portal/detail/Publication/50253678
The on-going AI revolution has disrupted several
industry sectors and will keep having an unprecedented impact
on all areas of society. This is predicted to force a major
proportion of the workforce to re-educate itself during the next
few decades. Consequently, this has led to a growing demand for
multidisciplinary AI education also for students outside computer
science. Therefore, a 25 credit (ECTS) cross-disciplinary study
module on AI, targeting students in all faculties, was designed.
We present findings from the design and implementation of the
study module as well as students’ initial perceptions towards
AI at the beginning of the study module. Enrollment for the
first implementation of the study module began in autumn
2019. The student distribution (N=144) between faculties was
the following: natural sciences (n=37), social sciences (n=23),
law (n=17), education (n=17), economics (n=16), medicine (n=10),
humanities (n=10) and open university (n=14). Based on a survey
distributed to students (N=34), the primary reason for enrolling
to study AI was interest towards the subject, followed by the
need of AI skills at work and relevance of AI in society
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