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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.

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.

For the purposes of more accurately reflecting job duties and increasing diversity, Ohio county agriculture and natural resources educator position descriptions were changed in 2013 to include natural resources as an educational qualification. We examined applicant and hiring data from 3 years before and 3 years after the position description change. Results indicate that the numbers of women applicants and applicants with natural resources degrees increased following the position description change. However, although the percentage of hires with natural resources backgrounds increased, the percentage of female hires decreased sharply. Factors influencing the hiring of county agriculture and natural resources educators need to be examined.

Inquiry learning is a widely recognized method for fostering inquiry competence in science education. Nevertheless, there is discussion about how to best support students while working on inquiry tasks (in this case: experiments on causal relationships). To identify the kind of support students need in order to design experiments in upper grades, an empirical study consisting of two parts was conducted. The first part, a quantitative test (N?=?96), tested students' competences in designing an experiment. It was found that students need scaffolding in basic aspects of designing (like dependent and independent variables), to reach higher levels, since only about thirty percent reach levels II or III out of three levels. On more reflective aspects (like confounding variables, test times and repetitions), only a maximum of twenty-five percent reached level I or higher; therefore, even more support is needed on these aspects. The second part of the study was a qualitative video-analysis of students' discussions, designs and implementations of an experiment. It was found that support is needed on procedural knowledge and understanding. Possible implications for inquiry support are discussed.