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

Identifikátory výsledku

  • Kód výsledku v 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>

  • Nalezeny alternativní kódy

    RIV/62156489:43110/25:43927360

  • Výsledek na webu

    <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>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

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

  • Popis výsledku v původním jazyce

    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.

  • Název v anglickém jazyce

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

  • Popis výsledku anglicky

    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.

Klasifikace

  • Druh

    J<sub>imp</sub> - Článek v periodiku v databázi Web of Science

  • CEP obor

  • OECD FORD obor

    50200 - Economics and Business

Návaznosti výsledku

  • Projekt

  • Návaznosti

    N - Vyzkumna aktivita podporovana z neverejnych zdroju

Ostatní

  • Rok uplatnění

    2025

  • Kód důvěrnosti údajů

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

Údaje specifické pro druh výsledku

  • Název periodika

    Journal of Innovation & Knowledge

  • ISSN

    2530-7614

  • e-ISSN

    2444-569X

  • Svazek periodika

    10

  • Číslo periodika v rámci svazku

    5

  • Stát vydavatele periodika

    ES - Španělské království

  • Počet stran výsledku

    14

  • Strana od-do

    1-14

  • Kód UT WoS článku

    001555781000002

  • EID výsledku v databázi Scopus

    2-s2.0-105013678241