Achieving competence in scientific inquiry or mastering scientific practices is an essential element of scientific literacy. Clearly, if students’ Scientific Inquiry Competence (SIC) is to be improved, a critical step is to reliably measure it and provide from this measurement feedback for teaching. Although numerous instruments were presented in literature to assess SIC, the specific potential of Rasch measurement for the integration of research assessment and individual feedback onto SIC is so far underestimated. This article presents details regarding the design and evaluation of a test instrument using an open-response format to measure students’ SIC in content-rich biology contexts at the upper secondary level. First, a set of three sub-competences (“generating hypotheses”, “designing experiments” and “analyzing data”) each composed of five competence aspects is introduced from literature to define the SIC construct. The SIC instrument was then operationalized using six open-ended partial-credit items. After pilot testing, the instrument was administered to N = 220 students (ages 15–19) before and after an inquiry-based unit on enzymes. Instrument functioning was evaluated using the Rasch Partial-Credit Model and first results towards satisfactory instrument functioning (e.g., validity and reliability) are presented. Particularly noteworthy is that the observed pattern in competence difficulty matched the pattern predicted from theoretical considerations. We demonstrate how the SIC instrument can be used for competence assessment and the evaluation of the effectiveness of learning.

Global biosphere issues call for an education for sustainable consumption decisions. Enabling adolescent learners to form sustainable consumption intentions involves an understanding of underlying internal predictors. The theory of planned behavior (TPB) delivers a useful approach to this challenge. Understanding of the underlying motives behind sustainable consumption decision-making, however, requires knowledge and evaluation of three basic sustainability aspects, the generational, the coherence, and the spatial aspect. As yet, the TPB framework does not take account of those facets. In this paper, we propose an extension of the TPB that meets these shortcomings by integrating the sustainability aspects while including the concepts of sustainability knowledge and sustainability values into the existing model. Furthermore, we extended the functional range of the attitude construct to the three sustainability aspects. The objective of the present article is to introduce and discuss the adapted framework which can serve as a first step for an educational implementation of the concept of sustainable consumption.

Health education is to foster health literacy, informed decision-making and to promote health behaviour. To date, there are several models that seek to explain health behaviour (e.g. the Theory of Planned Behaviour or the Health Belief Model). These models include motivational factors (expectancies and values) that play a role in decision-making in health contexts. In this theoretical paper, it is argued that none of these models makes consequent use of expectancy-value pairs. It is further argued that in order to make these models fruitful for science education and for informed decision-making, models should systematically incorporate knowledge as part of the decision-making process. To fill this gap, this theoretical paper introduces The Integrated Model of Decision-Making in Health Contexts. This model includes three types of knowledge (system health knowledge, action-related health knowledge and effectiveness health knowledge) as influencing factors for motivational factors (perceived health threat, attitude towards health action, attitude towards health outcome and subjective norm) that are formed of expectancy-value pairs and lead to decisions. The model’s potential for health education in science education as well as research implications is discussed.

In der vorliegenden Studie wird untersucht, inwiefern sich die Nutzung von Lernunterstützungen (Scaffolds) des prozeduralen Wissens und des Methodenwissens beim Forschenden Lernen eignen, um das Wissenschaftliche Denken, das Methodenwissen und das Fachwissen zu fördern und zudem die kognitive Belastung zu reduzieren. Dazu wurde eine 2 × 2‑quasi-experimentelle Interventionsstudie mit Pre- und Post-Test in einer 11. Jgst. zum Thema Enzymatik (N = 220) durchgeführt. Als unabhängige Variablen wurden theoriebasiert die Unterstützungsformate gestufte Lernhilfen (Forschertipps) und diskursiv-reflexive Szenarien (Concept Cartoons) gewählt. Als abhängige Variablen wurden das Wissenschaftliche Denken, das Methodenwissen und das Fachwissen sowie die kognitive Belastung der Schüler zu den jeweiligen Testzeitpunkten erhoben. Es zeigt sich, dass sich beide Lernunterstützungen sowie deren Kombination eignen, den Erwerb des Wissenschaftlichen Denkens zu fördern sowie die kognitive Belastung zu reduzieren. Eine Wirksamkeit der Lernunterstützungen in den Bereichen Methodenwissen und Fachwissen konnte nur teils bestätigt werden.

Background: Scientific thinking is an essential learning goal of science education and it can be fostered by inquiry learning. One important prerequisite for scientific thinking is procedural understanding. Procedural understanding is the knowledge about specific steps in scientific inquiry (e.g. formulating hypotheses, measuring dependent and varying independent variables, repeating measurements), and why they are essential (regarding objectivity, reliability, and validity). We present two studies exploring students’ ideas about procedural understanding in scientific inquiry using Concept Cartoons. Concept Cartoons are cartoon-like drawings of different characters who have different views about a concept. They are to activate students’ ideas about the specific concept and/or make them discuss them. Purpose: The purpose of this paper is to survey students’ ideas of procedural understanding and identify core ideas of procedural understanding that are central for understanding scientific inquiry. Design and methods: In the first study, we asked 47 students about reasons for different steps in inquiry work via an open–ended questionnaire using eight Concept Cartoons as triggers (e.g. about the question why one would need hypotheses). The qualitative analysis of answers revealed 42 ideas of procedural understanding (3-8 per Cartoon). We used these ideas to formulate a closed-ended questionnaire that contained the same Concept Cartoons, followed by statements with Likert-scales to measure agreement. In a second study, 64 students answered the second questionnaire as well as a multiple-choice test on procedural understanding. Results: Using methods from educational data mining, we identified five central statements, all emphasizing the concept of confounding variables: (1) One needs alternative hypotheses, because there may be other variables worth considering as cause. (2) The planning helps to take into account confounding variables or external circumstances. (3) Confounding variables should be controlled since they influence the experiment/the dependent variable. (4) Confounding variables should be controlled since the omission may lead to inconclusive results. (5) Confounding variables should be controlled to ensure accurate measurement. Conclusions: We discuss these ideas in terms of functioning as core ideas of procedural understanding. We hypothesize that these core-ideas could facilitate the teaching and learning of procedural understanding about experiments, which should be investigated in further studies.