Speaker
Oxana Andriuc
Description
Evaluating the efficacy of teaching scientific argumentation skills in undergraduate courses is an important task for ensuring that we are providing a high-quality scientific education. To this end, we propose an approach that leverages recent advancements in computational methods to automate the extraction of text from undergraduate student lab reports and identify elements of scientific argumentation. We build on existing argumentation frameworks to develop a new coding scheme that encompasses content labels, inter-sentence relations, and physical and logical correctness. With this method, we aim to investigate the possibility of building a fully automated pipeline for evaluating our teaching.
| Education level | Age over 18 (excluding teacher education) |
|---|---|
| Physics topic | Other |
| Research focus | Evaluation & Assessment |
| Research method | Mixed method (qualitative & quantitative) |
| Organizing preference criteria | Education level |
