Factors Enhancing Students’ Views on Artificial Intelligence Cover Image

Factors Enhancing Students’ Views on Artificial Intelligence
Factors Enhancing Students’ Views on Artificial Intelligence

Author(s): Małgorzata Przybyła-Kasperek
Subject(s): Language and Literature Studies
Published by: Wydawnictwo Uniwersytetu Śląskiego
Keywords: Artificial Intelligence (AI); educational; social and ethical aspects; students of computer science and education; opinion; Kruskal-Wallis tests

Summary/Abstract: of development of science in an interdisciplinary context. The EU’sapproach to artificial intelligence centres on excellence and trust, aiming toboost research and industrial capacity while ensuring safety and fundamentalrights (A European approach to artificial intelligence). Strengthening thefostering excellence in AI will strengthen Europe’s potential to compete globally.Simultaneously not yet solved are a lot of challenges and issues. The problemraised in the article is to explore and analyse computer science and educationstudents’ attitude to educational, social, and ethical aspects of AI implementation.The purpose is to discover and analyse computer science students and pedagogicalattitude towards education, social-, and ethical aspects of AI implementation.Students of two faculties of the University of Silesia in Katowice, Poland, wereasked to respond to a survey. They were mainly students of two specializations –Computer Science and Pedagogy. As many as 103 students have been surveyed.The Kruskal-Wallis tests were used for verification. The main issues studied werethe students’ level of competence in AI, their awareness of AI applications invarious areas of life and economy, and the importance of the AI field. The studyalso included the level of confidence towards AI and the level of anxiety towardsAI. Various types of dependencies and connections between these aspects wereinvestigated. The hypotheses were mostly confirmed. Finally, the article presentsthe discussion and main conclusions.

  • Issue Year: 9/2023
  • Issue No: 2
  • Page Range: 1-42
  • Page Count: 42
  • Language: English
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