Models as Epistemic Artifacts for Scientific Reasoning in Science Education Research

MDPI AG. Klybeckstrasse 64, 4057 Basel, Switzerland. e-mail: [email protected]; e-mail: [email protected]; Web site: https://www.mdpi.com/journal/education

Y

20

Mathematical Models; Mathematical Logic; Science Process Skills; Science Education; Epistemology; Educational Research; Scientific Research

2227-7102

Models are at the core of scientific reasoning and science education. They are especially crucial in scientific and educational contexts where the primary objects of study are unobservables. While empirical science education researchers apply philosophical arguments in their discussions of models and modeling, we in turn look at exemplary empirical studies through the lense of philosophy of science. The studied cases tend to identify modeling with representation, while simultaneously approaching models as tools. We argue that such a dual approach is inconsistent, and suggest considering models as epistemic artifacts instead. The artifactual approach offers many epistemic benefits. The access to unobservable target systems becomes less mysterious when models are not approached as more or less accurate representations, but rather as tools constructed to answer theoretical and empirical questions. Such a question-oriented approach contributes to a more consistent theoretical understanding of modeling and interpretation of the results of empirical research.

As Provided

2022

EJ1353480