2026

Ellen Egeland Flø holds a PhD in STEM Education, and has recently started working at The Norwegian Centre for Science Education.

Henning V. Myhrehagen er PhD-kandidat ved CCSE og KURT. 

Esmeralda Campos is a guest researcher from University of Vienna. She will kick off the Fall 2026 ODD seminar series by giving a talk about her and her colleagues' work in Physics Education Research at the Austrian Educational Competence Centre (AECC) .

Nicoline Berit Campbell Birkeland er PhD-student ved Senter for tverrfaglig utdanning (INTED).

Ane K. Espeseth is a PhD Candidate at INTED and will give a talk about her work.

Helene Lane is a PhD Candidate at CCSE and will present her work on using text embeddings of research papers to study trends in Physics Education Research.

Over the last 3 years, generative AI has rapidly entered science and physics classrooms, teacher education, and educational research. But what does the empirical literature on AI in science education actually show? 

The use of Machine Learning (ML) models in research is not a novel concept, especially in quantitative spaces. Yet, many questions arise from qualitative researchers in connection with the trustworthiness of the results due to the "black box" nature of the models and the overall decision-making process. Of the different types of qualitative data, text is most associated with the application of ML methods, specifically from the domain of Natural Language Processing (NLP).