Naïve and informed views on the nature of scientific inquiry in large-scale assessments: Two sides of the same coin or different currencies?

Many models in the field of epistemic cognition conceptualize students' views as being on a continuum between the poles of naïve and informed views. Against this background, the aim of the present study was to find out whether views on the nature of scientific inquiry (NOSI views) should be conceptualized and quantitatively assessed in a more multiplistic manner, considering naïve and informed views in their own, separate dimensions. Based on a competence model defining three inquiry methods, we developed a Likert-scaled questionnaire containing 10 scales, each assessing one NOSI view. We administered the questionnaire to a sample of 802 students in the lower and upper levels of secondary school. Based on structural equation modeling, the analyses confirmed a 10-dimensional model, distinguishing between each naïve and informed views as the only adequate representation of the data. Latent class analysis and interview data revealed four profiles of NOSI views in the data, which differed with regard to their agreement or disagreement with different naïve and informed views. We interpret these findings as evidence that supports more multiplistic models, with relevance to conceptualizing, measuring, and fostering NOSI views. We derive future directions of nature of science and NOSI research linking basic and applied research using experimental studies.     

The Complexity of Teacher Questions in Chemistry Classrooms: an Empirical Analysis on the Basis of Two Competence Models

With regard to the moderate performance of German students in international large-scale assessments, one branch of German science education research is concerned with the construction and evaluation of competence models. Based on the theory-driven definition of competence levels, these models imply a correlation between the complexity of a question or a problem, its difficulty and the cognitive demands that are required to answer or solve it. The aim of the study was to apply two competence models in order to analyse the complexity of questions that chemistry teachers use to promote learning in class as well as to compare the results of this analysis. Two model-based coding schemes were constructed and evaluated on the basis of interrater reliability before analysing the teacher questions in 40 chemistry lessons. The results show that between 60 and 65 % of the questions refer to low complexity levels. Although there is a considerable correspondence between the results (69.2 %), neither model can be considered as redundant. These findings are discussed with regard to the level and the development of students’ skills in science.     

Predicting Students’ Skills in the Context of Scientific Inquiry with Cognitive,Motivational, and Sociodemographic Variables

Research on predictors of achievement in science is often targeted on more traditional content-based assessments and single student characteristics. At the same time, the development of skills in the field of scientific inquiry constitutes a focal point of interest for science education. Against this background, the purpose of this study was to investigate to which extent multiple student characteristics contribute to skills of scientific inquiry. Based on a theoretical framework describing nine epistemological acts, we constructed and administered a multiple-choice test that assesses these skills in lower and upper secondary school level (n?=?780). The test items contained problem-solving situations that occur during chemical investigations in school and had to be solved by choosing an appropriate inquiry procedure. We collected further data on 12 cognitive, motivational, and sociodemographic variables such as conceptual knowledge, enjoyment of chemistry, or language spoken at home. Plausible values were drawn to quantify students’ inquiry skills. The results show that students’ characteristics predict their inquiry skills to a large extent (55%), whereas 9 out of 12 variables contribute significantly on a multivariate level. The influence of sociodemographic traits such as gender or the social background becomes non-significant after controlling for cognitive and motivational variables. Furthermore, the performance advance of students from upper secondary school level can be explained by controlling for cognitive covariates. We discuss our findings with regard to curricular aspects and raise the question whether the inquiry skills can be considered as an autonomous trait in science education research.     

Epistemic Beliefs in Science—A Systematic Integration of Evidence From Multiple Studies

Educational Psychology Review - Recent research has integrated developmental and dimensional perspectives on epistemic beliefs by implementing an approach in which profiles of learners’...