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Alessandra Kenner

Biographic Data

ID9306081
NAMEAlessandra Kenner
GIVEN NAMESAlessandra
FAMILY NAMEKenner
SIGNATUREKENNER A
AFFILIATIONSFriedrich-Alexander-Universität Erlangen-Nürnberg
VERIFIEDNo
TOTAL WORKS3
TOTAL CITATIONS0
WORKS AS AUTHOR2
WORKS AS EDITOR1
FIRST PUBLICATION YEAR2019
LATEST PUBLICATION YEAR2026
H-INDEX0
  • A comparison of lessons planned by different publicly available large language models in the context of physical education

    Open Access•B Meixner, Clara Tristram et al.•ARTICLE•Frontiers in Education•2026

    Introduction Large Language Models (LLMs) have the potential to assist teachers, particularly in lesson planning. The quality of lessons generated by various LLMs remains unexplored. Methods We investigated the quality of different LLMs for lesson planning, using the basketball layup as example and surveying experts in the field. A prompt was submitted to three LLMs (GPT-4o, Claude Sonnet, and Google Gemini). Twenty-eight quality criteria to eval…

  • Kritische Hochschullehre

    Open Access•Dirk Jahn, Alessandra Kenner et al.•EDITOR•BOOK•Kritische Hochschullehre•2019

  • Kritische Hochschullehre

    Alessandra Kenner, Birte Heidkamp-Kergel et al.•BOOK•Kritische Hochschullehre•2019

No prominent works on this page.

  • Kritische Hochschullehre

    Open Access•Dirk Jahn, Alessandra Kenner et al.•EDITOR•BOOK•Kritische Hochschullehre•2019

  • Kritische Hochschullehre

    Alessandra Kenner, Birte Heidkamp-Kergel et al.•BOOK•Kritische Hochschullehre•2019

  • A comparison of lessons planned by different publicly available large language models in the context of physical education

    Open Access•B Meixner, Clara Tristram et al.•ARTICLE•Frontiers in Education•2026

    Introduction Large Language Models (LLMs) have the potential to assist teachers, particularly in lesson planning. The quality of lessons generated by various LLMs remains unexplored. Methods We investigated the quality of different LLMs for lesson planning, using the basketball layup as example and surveying experts in the field. A prompt was submitted to three LLMs (GPT-4o, Claude Sonnet, and Google Gemini). Twenty-eight quality criteria to eval…

Basketball (1 work) · College teaching (1 work) · Education Methods and Technologies (1 work) · Educational innovations (1 work) · Higher Education (1 work) · Humanities (1 work) · Likert scale (1 work) · Linguistic Education and Pedagogy (1 work) · Philosophy (1 work) · Physical Education and Pedagogy (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