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Beatrice Doria

Biographic Data

ID8902162
NAMEBeatrice Doria
GIVEN NAMESBeatrice
FAMILY NAMEDoria
SIGNATUREDORIA B
AFFILIATIONSUniversity of Padua
ORCID0000-0002-3894-9460
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS0
AUTHOR COUNT2
EDITOR COUNT0
FIRST PUBLICATION YEAR2026
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Artificial intelligence and feedback in university education: Effectiveness and student perceptions

    Open Access•Valentina Grion, Beatrice Doria et al.•ARTICLE•Assessment & Evaluation in Higher…•2026

    The integration of generative artificial intelligence (AI) into Higher Education has intensified debates about the role of technology in formative assessment. This study examines the effectiveness and practical comparability of AI-generated feedback in a project-based university course, comparing two large language models (GPT-o4-mini and DeepSeek R1) with feedback provided by an expert human teacher. Adopting a quasi-experimental design, 47 stud…

  • Faculty assessment development in higher education: The CRAFT framework emerging from a systematic literature review

    Beatrice Doria, Valentina Grion et al.•ARTICLE•Assessment & Evaluation in Higher…•2026

    In recent years, the growing need to enhance assessment practices in higher education has led to increased attention on faculty development (FD) as a key lever for pedagogical innovation. This systematic literature review explores which types of continuous training are most effective in equipping university teachers to adopt alternative and learning-oriented assessment practices. Based on 16 peer-reviewed empirical studies published between 2019 …

No prominent works on this page.

  • Artificial intelligence and feedback in university education: Effectiveness and student perceptions

    Open Access•Valentina Grion, Beatrice Doria et al.•ARTICLE•Assessment & Evaluation in Higher…•2026

    The integration of generative artificial intelligence (AI) into Higher Education has intensified debates about the role of technology in formative assessment. This study examines the effectiveness and practical comparability of AI-generated feedback in a project-based university course, comparing two large language models (GPT-o4-mini and DeepSeek R1) with feedback provided by an expert human teacher. Adopting a quasi-experimental design, 47 stud…

  • Faculty assessment development in higher education: The CRAFT framework emerging from a systematic literature review

    Beatrice Doria, Valentina Grion et al.•ARTICLE•Assessment & Evaluation in Higher…•2026

    In recent years, the growing need to enhance assessment practices in higher education has led to increased attention on faculty development (FD) as a key lever for pedagogical innovation. This systematic literature review explores which types of continuous training are most effective in equipping university teachers to adopt alternative and learning-oriented assessment practices. Based on 16 peer-reviewed empirical studies published between 2019 …

Higher education (2 works) · Student Assessment and Feedback (2 works) · Comparability (1 works) · Craft (1 works) · Engineering Education and Curriculum Development (1 works) · Evaluation of Teaching Practices (1 works) · Faculty Development (1 works) · Formative assessment (1 works) · Intelligent Tutoring Systems and Adaptive Learning (1 works) · Literacy (1 works)

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