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Peter Wulff · Study

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Peter Wulff

8 works· latest 2025· 2 institutionscluster: provisionalORCID 0000-0002-5471-7977

h-index6

i106

Citations338

Works here8

18

22

23

25

Most cited in this library

Integrating artificial intelligence-based methods into qualitative research in physics education research: A case for computational grounded theory2023 · 73 citations
Engaging young women in physics: An intervention to support young women’s physics identity development2018 · 66 citations
Utilizing a Pretrained Language Model (BERT) to Classify Preservice Physics Teachers’ Written Reflections2022 · 51 citations
Exploring new depths: Applying machine learning for the analysis of student argumentation in chemistry2023 · 49 citations
Modelling STEM Teachers’ Pedagogical Content Knowledge in the Framework of the Refined Consensus Model: A Systematic Literature Review2022 · 47 citations

Works

8 shown

Erratum: Integrating artificial intelligence-based methods into qualitative research in physics education research: A case for computational grounded theory [Phys. Rev. Phys. Educ. Res. 19 , 020123 (2023)]

Physical Review Physics Education Research·2025·3 authors·other·Open access

3citations

Human-Machine Interactions in Machine Learning Modeling: The Role of Theory

Springer texts in education·2025·3 authors·chapter·Open access

2citations

Exploring new depths: Applying machine learning for the analysis of student argumentation in chemistry

Journal of Research in Science Teaching·2023·4 authors·Open access

49citations

Integrating artificial intelligence-based methods into qualitative research in physics education research: A case for computational grounded theory

Physical Review Physics Education Research·2023·3 authors·Open access

73citations

Modelling STEM Teachers’ Pedagogical Content Knowledge in the Framework of the Refined Consensus Model: A Systematic Literature Review

Education Sciences·2022·5 authors·review·Open access

47citations

Bridging the Gap Between Qualitative and Quantitative Assessment in Science Education Research with Machine Learning — A Case for Pretrained Language Models-Based Clustering

Journal of Science Education and Technology·2022·5 authors·Open access

47citations

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

International Journal of Artificial Intelligence in Education·2022·3 authors·Open access

51citations

Engaging young women in physics: An intervention to support young women’s physics identity development

Physical Review Physics Education Research·2018·4 authors·Open access

66citations