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Annamária Tátrai

Biographic Data

ID10135882
NAMEAnnamária Tátrai
GIVEN NAMESAnnamária
FAMILY NAMETátrai
SIGNATURETÁTRAI A
AFFILIATIONSEötvös Loránd University
VERIFIEDNo
TOTAL WORKS1
TOTAL CITATIONS0
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2025
LATEST PUBLICATION YEAR2025
H-INDEX0
  • Exploring the use of retrieval-augmented generation models in higher education

    Open Access•Renáta Németh, Annamária Tátrai et al.•ARTICLE•Social Sciences & Humanities Open•2025

    The role of artificial intelligence in education is growing, but its impact on teaching and learning remains unclear. This paper examines an artificial intelligence tutor like ChatGPT, enhanced with retrieval-augmented generation, in a pilot project at two universities. The advantage of retrieval-augmented generation in higher education is that lecturers can take control of the underlying literature used by the large language model. Four courses …

No prominent works on this page.

  • Exploring the use of retrieval-augmented generation models in higher education

    Open Access•Renáta Németh, Annamária Tátrai et al.•ARTICLE•Social Sciences & Humanities Open•2025

    The role of artificial intelligence in education is growing, but its impact on teaching and learning remains unclear. This paper examines an artificial intelligence tutor like ChatGPT, enhanced with retrieval-augmented generation, in a pilot project at two universities. The advantage of retrieval-augmented generation in higher education is that lecturers can take control of the underlying literature used by the large language model. Four courses …

Artificial Intelligence (1 work) · Computer Science (1 work) · Human–computer interaction (1 work) · Information retrieval (1 work) · Intelligent Tutoring Systems and Adaptive Learning (1 work) · Multimedia (1 work) · Natural Language Processing Techniques (1 work) · Topic Modeling (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae