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Computer Science > Computers and Society

arXiv:2311.16193 (cs)
[Submitted on 26 Nov 2023]

Title:Students' interest in knowledge acquisition in Artificial Intelligence

Authors:Manuela-Andreea Petrescu, Emilia-Loredana Pop, Tudor-Dan Mihoc
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Abstract: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.
Subjects: Computers and Society (cs.CY); Artificial Intelligence (cs.AI); Human-Computer Interaction (cs.HC); Software Engineering (cs.SE)
ACM classes: I.2.6; K.3.2; D.m
Cite as: arXiv:2311.16193 [cs.CY]
  (or arXiv:2311.16193v1 [cs.CY] for this version)
  https://doi.org/10.48550/arXiv.2311.16193
Journal reference: 27th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES 2023), Procedia Computer Science 225C, ISSN 1877-0509, 1027-1035, 2023

Submission history

From: Manuela Petrescu Mrs [view email]
[v1] Sun, 26 Nov 2023 14:13:53 UTC (10,728 KB)
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