The paper aims to show artificial intelligence (AI) in higher education based on a study in a Polish environment. In this study, the awareness of AI, particularly ChatGPT, was shown across Polish universities. This research was carried out in three selected universities: the University of Economics in Katowice (UE Kat), the University of Warsaw (UW), and the Jagiellonian University in Krakow (JU). Data were collected using a mixed method of PAPI (Paper and Pencil Interviewing) and CAPI (Computer Assisted Personal Interview). The surveys were distributed in a partially targeted manner in the academic environment to randomly selected groups of students. After that the collected data were processed: statistical indicators, distance measures, and tests were calculated. Thanks to the analysis of the results, it was possible to identify the level of artificial intelligence awareness in the studied environment and understand how respondents qualify for its usage. The originality of the research lies in the comprehensive treatment of the topic and its presentation in terms of gender and university location. The results may be useful to university authorities and researchers dealing with the applications of artificial intelligence in economic, and social life.

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AI Significance in Higher Education: A Comparative Study Across the Polish Universities

  • Anna Sołtysik-Piorunkiewicz,
  • Witold Chmielarz,
  • Magdalena Kossowska-Lai

摘要

The paper aims to show artificial intelligence (AI) in higher education based on a study in a Polish environment. In this study, the awareness of AI, particularly ChatGPT, was shown across Polish universities. This research was carried out in three selected universities: the University of Economics in Katowice (UE Kat), the University of Warsaw (UW), and the Jagiellonian University in Krakow (JU). Data were collected using a mixed method of PAPI (Paper and Pencil Interviewing) and CAPI (Computer Assisted Personal Interview). The surveys were distributed in a partially targeted manner in the academic environment to randomly selected groups of students. After that the collected data were processed: statistical indicators, distance measures, and tests were calculated. Thanks to the analysis of the results, it was possible to identify the level of artificial intelligence awareness in the studied environment and understand how respondents qualify for its usage. The originality of the research lies in the comprehensive treatment of the topic and its presentation in terms of gender and university location. The results may be useful to university authorities and researchers dealing with the applications of artificial intelligence in economic, and social life.