ARTIFICIAL INTELLIGENCE IN STUDENT LIFE – OPPORTUNITIES AND THREATS
Purpose: The aim of this article is to assess the role of artificial intelligence (AI) in the daily lives of students and to present the opportunities and threats it brings. Design/methodology/approach: The study analysed the literature on the development of artificial intelligence and its use in education. Compilations and reports on AI were analysed. The study was conducted by means of a Google survey distributed to students at the Bydgoszcz University of Technology. Findings: Artificial intelligence, while demonstrating human-like abilities such as learning, critical thinking and problem solving, but raises a variety of emotions. Currently, however, its role should focus on repetitive tasks, which would allow teachers to pay more attention to the individual needs of students. Unlike science disciplines such as mathematics, AI should focus primarily on supporting this aspect of education rather than replacing it. Research limitations/implications: Future research may be related to the creation of mentoring programmes in the area studied. Practical implications: The results of the study can be used as input for the design of training programmes in the study area. Social implications: Artificial intelligence (AI) in higher education presents huge opportunities. It helps to personalise learning, access knowledge faster and automate tasks. However, it also brings risks, such as plagiarism, dependence on technology, and reduced critical thinking skills. Appropriate use of AI is key. Originality/value This article is mainly addressed to education professionals who want to implement and correctly use artificial intelligence in the teaching process.
Authors
- Katarzyna Radecka (ORCID: https://orcid.org/0000-0001-8389-5652)
Institutions
- Bydgoszcz University of Science and Technology (PL)
Publication Details
- Journal
- Scientific Papers of Silesian University of Technology Organization and Management Series
- Published
- 2025-01-01
- DOI
- https://doi.org/10.29119/1641-3466.2025.220.12
- Primary Topic
- Engineering Education and Technology
- Type
- article
- Field-Weighted Citation Impact
- 0.00