Forschungs- & PublikationsdatenbankForschungs- & Publikationsdatenbank
 | Dr. Wulff, Peter Juniorprofessor für Physik und ihre Didaktik; Fak. 3 - Physik  Anschrift:Juniorprofessor für Physik und ihre Didaktik Pädagogische Hochschule Heidelberg Im Neuenheimer Feld 561 69120 Heidelberg  peter.wulff[at]ph-heidelberg.de https://www.ph-heidelberg.de/physik/team/professorinnen/jun-prof-dr-peter-wulff/OrcID: 0000-0002-5471-7977  |
Bridging the Gap Between Qualitative and Quantitative Assessment in Science Education Research with Machine Learning — A Case for Pretrained Language Models-Based Clustering (Wulff et al.)Wulff, P., Buschhüter, D., Westphal, A., Mientus, L., Nowak, A. & Borowski, A. (2022). Bridging the Gap Between Qualitative and Quantitative Assessment in Science Education Research with Machine Learning — A Case for Pretrained Language Models-Based Clustering (Wulff et al.), Journal of Science Education and Technology, 2022. | Artikel Details |
Modelling STEM Teachers’ Pedagogical Content Knowledge in the Framework of the Refined Consensus Model: A Systematic Literature Review (Wulff et al.)Mientus, L., Hume, A., Wulff, P., Meiners, A. & Borowski, A. (2022). Modelling STEM Teachers’ Pedagogical Content Knowledge in the Framework of the Refined Consensus Model: A Systematic Literature Review (Wulff et al.), Education Sciences, 12, 2022(6). | Artikel Details |
Utilizing a Pretrained Language Model (BERT) to Classify Preservice Physics Teachers’ Written Reflections (Wulff et al.)Wulff, P., Mientus, L., Nowak, A. & Borowski, A. (2022). Utilizing a Pretrained Language Model (BERT) to Classify Preservice Physics Teachers’ Written Reflections (Wulff et al.), International Journal of Artificial Intelligence in Education, 2022. | Artikel Details |