Generative artificial intelligence expectations and experiences in management education: ChatGPT use and student satisfaction

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F02819180%3A_____%2F25%3A%230000127" target="_blank" >RIV/02819180:_____/25:#0000127 - isvavai.cz</a>

Alternative codes found

RIV/62156489:43110/25:43927360

Result on the web

<a href="https://www.sciencedirect.com/science/article/pii/S2444569X2500126X" target="_blank" >https://www.sciencedirect.com/science/article/pii/S2444569X2500126X</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.jik.2025.100781" target="_blank" >10.1016/j.jik.2025.100781</a>

Result language

angličtina

Original language name

Generative artificial intelligence expectations and experiences in management education: ChatGPT use and student satisfaction

Original language description

Generative artificial intelligence (AI) has witnessed a major boom in recent years and is increasingly penetrating the higher education sector. This study focused on the use of ChatGPT by undergraduate management students. We developed a model called the “AI Student Satisfaction with Studies model” (AI 3S-model) to investigate how generative AI, specifically ChatGPT, affects student satisfaction with their management studies. Factors used in the model included AI-related student expectations, AI-related student job expectations, perceived quality of AI among students, and AI-related overall student satisfaction. An online questionnaire was administered to stu- dents from economics faculties at various universities in the Czech Republic. We deliberately focused on one specialized economics college and several large economics faculties. The sample comprised 231 respondents. To analyze the data, we applied covariance-based structural equation modelling using maximum likelihood esti- mation. Our findings indicate that two factors directly and positively affect overall student satisfaction with AI use: their perceived quality of studies and their expectations. Additionally, perceived quality acts as a significant mediator between student expectations and overall satisfaction, as well as between job expectations and overall satisfaction. Students believe that ChatGPT enhances their quality of education, which boosts their overall satisfaction. For management education programs, this means that finding ways to effectively integrate gener- ative AI into students’ learning and establishing reasonable limits is highly beneficial, whereas prohibiting the use of generative AI tools would likely decrease student satisfaction and diminish the perceived quality of their studies.

Czech name

—

Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

50200 - Economics and Business

Project

—

Continuities

N - Vyzkumna aktivita podporovana z neverejnych zdroju

Publication year

2025

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Journal of Innovation & Knowledge

ISSN

2530-7614

e-ISSN

2444-569X

Volume of the periodical

10

Issue of the periodical within the volume

5

Country of publishing house

ES - SPAIN

Number of pages

14

Pages from-to

1-14

UT code for WoS article

001555781000002

EID of the result in the Scopus database

2-s2.0-105013678241