Students' interest in knowledge acquisition in Artificial Intelligence
Not on the map. Why?
Abstract (arXiv)
Some students' expectations and points of view related to the Artificial Intelligence course are explored and analyzed in this study. We anonymous collected answers from 58 undergraduate students out of 200 enrolled in the Computer Science specialization. The answers were analysed and interpreted using thematic analysis to find out their interests and attractive and unattractive aspects related to the Artificial Intelligence study topic. We concluded that students are interested in Artificial Intelligence due to its trendiness, applicability, their passion and interest in the subject, the potential for future growth, and high salaries. However, the students' expectations were mainly related to achieving medium knowledge in the Artificial Intelligence field, and men seem to be more interested in acquiring high-level skills than women. The most common part that wasn't enjoyed by the students was the mathematical aspect used in Artificial Intelligence. Some of them (a small group) were also aware of the Artificial Intelligence potential which could be used in an unethical manner for negative purposes. Our study also provides a short comparison to the Databases course, in which students were not that passionate or interested in achieving medium knowledge, their interest was related to DB usage and basic information.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 3 of its 31 references that are in the map. First posted on arXiv 26 Nov 2023.
Builds on
3 of 31 references.
References · 3
- 2019Female Students in Computer Science Education: Understanding Stereotypes, Negative Impacts, and Positive Motivationcited by 1
- 2023Student's Attraction for a Carrier Path Related to Databases and SQL: Usability vs Efficiency in Students' Perception -Case Studycited by 1
- 2023Tendencies in Database Learning for Undergraduate Students: Learning In-Depth or Getting the Work Done?cited by 1
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Citing papers per year: 2026: 1.
1 paper.
- 2026Student views in AI Ethics and Social Impactcited by 0
- 2026Student views in AI Ethics and Social Impact19 Mar 2026