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Chengming Zhang
List of publications:
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Lehrstuhl für Schulpädagogik mit dem Schwerpunkt empirische Unterrichtsforschung
Project Memberships
(1)
Publications
(21)
Activities
(9)
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Journal article
Journal article
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Book chapter / Article in edited volumes
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Translation
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Förderung der Reflexionsfähigkeit von Lehramtsstudierenden: Zum Potential von KI-basiertem Feedback (2024)
Hofmann F, Zhang C, Solopova V, Plößl L, Gläser-Zikuda M
Conference contribution, Conference Contribution
Mixed Methods Research on Reflective Writing in Teacher Education (2024)
Gläser-Zikuda M, Zhang C, Hofmann F, Plößl L, Pösse L, Artmann M
Journal article
Self-Regulated Learning of Pre-Service Teachers in Digital Learning Environments. (2024)
Zhang C, Hofmann F, Kamran F, Gläser-Zikuda M
Book chapter / Article in edited volumes
Classification of reflective writing: A comparative analysis with shallow machine learning and pre-trained language models (2024)
Zhang C, Hofmann F, Plößl L, Gläser-Zikuda M
Journal article, Original article
Reflexives Schreiben in der Hochschulbildung - ein systematisches Review zu Konzepten, Forschungsthemen und -methoden (2024)
Hofmann F, Zhang C, Artmann M, Gläser-Zikuda M
Conference contribution, Abstract of lecture
Reflexives Schreiben von Lehramtsstudierenden: Eine Analyse mit Verfahren maschinellen Lernens und vortrainierten Sprachmodellen (2024)
Zhang C, Solopova V, Hofmann F, Gläser-Zikuda M
Conference contribution, Abstract of lecture
Evaluating Reflective Writing in Pre-Service Teachers: The Potential of a Mixed-Methods Approach (2023)
Zhang C, Schießl J, Plößl L, Hofmann F, Gläser-Zikuda M
Journal article
Acceptance of artifcial intelligence among pre-service teachers: a multigroup analysis (2023)
Zhang C, Schießl J, Plößl L, Hofmann F, Gläser-Zikuda M
Journal article, Online publication
Das BMBF-Projekt PetraKIP – KI-Einsatz in der Hochschullehre: Ein Werkstattbericht. (2023)
Hofmann F, Zhang C
Conference contribution, Conference Contribution
Comparative analysis of pre-service teachers’ reflective writing: using shallow machine learning and pre-trained language models (2023)
Zhang C, Hofmann F, Plößl L, Gläser-Zikuda M
Conference contribution, Abstract of lecture
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