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A holistic exploration of student attitudes toward AI use in higher education: an international comparison

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21630%2F25%3A00385904" target="_blank" >RIV/68407700:21630/25:00385904 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1080/2331186X.2025.2571691" target="_blank" >https://doi.org/10.1080/2331186X.2025.2571691</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1080/2331186X.2025.2571691" target="_blank" >10.1080/2331186X.2025.2571691</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    A holistic exploration of student attitudes toward AI use in higher education: an international comparison

  • Original language description

    This study investigates higher education students’ perspectives on artificial intelligence (AI) technologies and their use in learning and academic contexts. As AI increasingly influences higher education, understanding students’ attitudes and ethical awareness is essential. The research involved 920 students from higher education institutions in Czechia (CZ), Turkey (TR), and Slovakia (SK), allowing for a cross-national comparison of attitudes, perceived benefits and challenges, and ethical considerations. A mixed-methods design was applied, combining quantitative survey data with qualitative responses, analyzed using descriptive and thematic approaches. Results indicate that most students have used AI technologies, more frequently in CZ and SK than in TR. The most common use was to enhance general understanding of academic topics. Students identified accessibility as the main benefit of AI, while key concerns included AI bias in CZ and AI misuse in TR and SK. Most participants perceived limited ethical awareness among students and emphasized the need for institutional guidelines to promote responsible AI use. Students also viewed teachers as moderately or less willing to integrate AI into teaching and learning.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    50301 - Education, general; including training, pedagogy, didactics [and education systems]

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2025

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Cogent Education

  • ISSN

    2331-186X

  • e-ISSN

  • Volume of the periodical

    12

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    23

  • Pages from-to

    1-23

  • UT code for WoS article

    001600982000001

  • EID of the result in the Scopus database

    2-s2.0-105019962557