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Utilizing a Pretrained Language Model (BERT) to Classify Preservice Physics Teachers’ Written Reflections

Crossref DOI link: https://doi.org/10.1007/s40593-022-00290-6

Published Print: 2023-09

Update policy: https://doi.org/10.1016/elsevier_cm_policy

Authors

Wulff, Peter https://orcid.org/0000-0002-5471-7977
Mientus, Lukas

Nowak, Anna

Borowski, Andreas https://orcid.org/0000-0002-9502-0420
Funding

Funding for this research was provided by:

Bundesministerium für Bildung und Forschung (01JA1816)

Pädagogische Hochschule Heidelberg
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Text and Data Mining valid from 2023-09-01

Text and Data Mining valid from 2023-09-01

Version of Record valid from 2026-04-27
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This article is maintained by: Elsevier

Article Title: Utilizing a Pretrained Language Model (BERT) to Classify Preservice Physics Teachers’ Written Reflections

Journal Title: International Journal of Artificial Intelligence in Education

CrossRef DOI link to publisher maintained version: https://doi.org/10.1007/s40593-022-00290-6

Content Type: article

Copyright: Copyright © 2022 The Author(s). Published by Elsevier Ltd