The students' and graduates' perception of the potential usefulness of Artificial Intelligence (AI) in the academic curricula of Finance and Accounting Courses

• Autorzy: Barbara Grabińska , Mariusz Andrzejewski , Konrad Grabiński
• Języki publikacji: EN

Abstrakty

EN

The application of computer-based technologies in academic education has at least three decades of history and experience. In some study fields, it has been present since the very beginning, while in others it has become a necessity only in recent years. The ongoing technological revolution is disrupting the traditional professions with fundamental changes and - in some cases - even with the threat of disappearance of jobs. The finance and accounting professions are expected to undergo a technological change in the near future. While the changes are visible at the corporate level, university education seems to lag one step behind. We conducted a study among the students and graduates of the finance and accounting line of studies at the Cracow University of Economics. Using regression analysis, we investigate the perception of the usefulness of courses providing knowledge on new technologies like Artificial Intelligence (AI). We use a unique Polish setting, which is a leader in terms of outsourcing services. Our findings show that both students and graduates are aware of the importance of technological change. The courses teaching basic subjects are essential, but the current expectations are much higher in terms of the application of new technology based on AI in finance and accounting.(original abstract)

Słowa kluczowe

EN

Education; Higher education; Higher education curriculum; Artificial intelligence

PL

Edukacja; Szkolnictwo wyższe; Programy studiów; Sztuczna inteligencja

• Czasopismo: e-mentor
• Rocznik: 2021
• Numer: nr 5
• Strony: 16--25

Twórcy

autor

Barbara Grabińska

• Cracow University of Economics, Poland

autor

Mariusz Andrzejewski

• Cracow University of Economics

autor

Konrad Grabiński

• Cracow University of Economics, Poland

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Identyfikatory

DOI

DOI: https://doi.org/10.15219/em92.1544