Out-of-school science educational activities, such as school visits to a science center, aim at stimulating pupils’ science talent. Science talent is a developmental potential that takes the form of talented behaviors such as curiosity and conceptual understanding. This dissertation investigates whether and how out-of-school science activities contribute to the elicitation, emergence, and development of pupils’ science talent. The context of this thesis is the Northern Netherlands Science Network, an alliance of primary schools, out-of-school science facilities, the university of Groningen, and the Hanze University of Applied Sciences (www.wknn.nl). Interviews with the schools on their starting position showed that adequate communication between schools and out-of-school facilities is necessary to coordinate the participants’ educational goals. Secondly, the elicitation and expression of science talent was studied in the micro-interactions between pupils and their educator (classroom teacher or facility instructor). To do so, a multivariate coding scheme was developed to measure Pedagogical Content Knowledge expressed in real-time interaction (EPCK). The interaction shows a variable pattern over time. Sometimes episodes of high-level EPCK — so-called talent moments — emerge, in which talented pupil behavior in the form of pupils’ conceptual understanding, and talent elicitation by the educator in the form of open teaching focused on conceptual understanding, determine one another. These talent moments only occur in activities that were prepared in the classroom and with educators who were trained to evoke conceptual understanding. Under these conditions, out of school science activities can contribute to the elicitation and development of science talent in primary school pupils.AB - Out-of-school science educational activities, such as school visits to a science center, aim at stimulating pupils’ science talent. Science talent is a developmental potential that takes the form of talented behaviors such as curiosity and conceptual understanding. This dissertation investigates whether and how out-of-school science activities contribute to the elicitation, emergence, and development of pupils’ science talent. The context of this thesis is the Northern Netherlands Science Network, an alliance of primary schools, out-of-school science facilities, the university of Groningen, and the Hanze University of Applied Sciences (www.wknn.nl). Interviews with the schools on their starting position showed that adequate communication between schools and out-of-school facilities is necessary to coordinate the participants’ educational goals. Secondly, the elicitation and expression of science talent was studied in the micro-interactions between pupils and their educator (classroom teacher or facility instructor). To do so, a multivariate coding scheme was developed to measure Pedagogical Content Knowledge expressed in real-time interaction (EPCK). The interaction shows a variable pattern over time. Sometimes episodes of high-level EPCK — so-called talent moments — emerge, in which talented pupil behavior in the form of pupils’ conceptual understanding, and talent elicitation by the educator in the form of open teaching focused on conceptual understanding, determine one another. These talent moments only occur in activities that were prepared in the classroom and with educators who were trained to evoke conceptual understanding. Under these conditions, out of school science activities can contribute to the elicitation and development of science talent in primary school pupils.
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This dissertation aims to strengthen socioscientific issues (SSI) education by focusing on the resources available to students. SSI education is a type of science and citizenship education that supports students’ informed and critical engagement with social issues that have scientific or technological dimensions. This dissertation explores students’ SSI-related resources relevant to their engagement with SSI, such as their attitudes and social resources. The dissertation consists of four papers. The first is a position paper that introduces the concept of socioscientific capital and argues why it is important to pay attention to students’ resources in SSI-based teaching. The other three papers involve empirical, quantitative studies. Two questionnaires were developed that were used to investigate student differences regarding engagement with SSI: the Pupils’ Attitudes towards Socioscientific Issues (PASSI) questionnaire and the Use of Sources of Knowledge (USK) questionnaire. The final study is an exploration of the effects of SSI-based teaching on students’ attitudes toward SSI, considering socioscientific capital.
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Education for sustainable development (ESD) presents challenges to secondary science teachers. Characteristic aspects such as action-oriented teaching, stance-taking, interdisciplinary problem solving, and emotional and value-oriented teaching cause tensions for teachers accustomed to traditional science teaching. To help future science teachers face these challenges, understanding how these tensions are rooted in teaching visions is crucial. In the context of teacher education, this study aims to explain pre-service science teachers’ visions on these tension inducing aspects of ESD. Through a qualitative analysis of interviews and written reflections of ten participants in a course on ESD, we document beliefs and experiences that underlie their visions. A belief that supports teaching ESD is that education should contribute to a sustainable future. Prevalent beliefs that cause tensions with ESD are that education should not impose values; that one’s subject matter knowledge is insufficient; and that the scientific knowledge is unreliable. Experiences from the course that influence these beliefs, are confrontations with visions of peers, pupils, and professionals; exposure to ESD teaching practices; and inquiry into a socio-scientific issue, all of which alleviated tensions. Findings help teacher educators understand pre-service science teachers’ visions and provide suggestions for activities that foster vision development.
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Integrated curricula seem promising for the increase of attention on science and technology in primary education. A clear picture of the advantages and disadvantages of integration efforts could help curriculum innovation. This review has focussed on integrated curricula in primary education from 1994 to 2011. The integrated curricula were categorized according to a taxonomy of integration types synthesized from the literature. The characteristics that we deemed important were related to learning outcomes and success/fail factors. A focus group was formed to facilitate the process of analysis and to test tentative conclusions. We concluded that the levels in our taxonomy were linked to (a) student knowledge and skills, the enthusiasm generated among students and teachers, and the teacher commitment that was generated; and (b) the teacher commitment needed, the duration of the innovation effort, the volume and comprehensiveness of required teacher professional development, the necessary teacher support, and the effort needed to overcome tensions with standard curricula. Almost all projects were effective in increasing the time spent on science at school. Our model resolves Czerniac’s definition problem of integrating curricula in a productive manner, and it forms a practical basis for decision-making by making clear what is needed and what output can be expected when plans are being formulated to implement integrated education.
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Beschrijving van toegevoegde waarde van een meer geïntegreerde benadering van openheid bij open science en open education.
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Opening keynote for the national Finnish Open Science Autumn Conference; 7-8 December 2020
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The evolving landscape of science communication highlights a shift from traditional dissemination to participatory engagement. This study explores Dutch citizens’ perspectives on science communication, focusing on science capital, public engagement, and communication goals. Using a mixed-methods approach, it combines survey data (n = 376) with focus group (n = 66) insights. Findings show increasing public interest in participating in science, though barriers like knowledge gaps persist. Trust-building, engaging adolescents, and integrating science into society were identified as key goals. These insights support the development of the Netherlands’ National Centre of Expertise on Science and Society and provide guidance for inclusive, effective science communication practices.
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Background: With the increased attention on implementing inquiry activities in primary science classrooms, a growing interest has emerged in assessing students’ science skills. Research has been concerned with the limitations and advantages of different test formats to assess students’ science skills. Purpose: This study explores the construction of different instruments for measuring science skills by categorizing items systematically on three subskill levels (science-specific, thinking, metacognition,) and different activities of the empirical cycle.Sample: The study included 128 5th and 6th grade students from seven primary schools in the Netherlands.Design and method: Seven measures were used: a paper-and-pencil test, three performance assessments, two metacognitive self-report tests and a test used as an indication of general cognitive ability.Results: Reliabilities of all tests indicate sufficient internal consistency. Positive correlations between the paper-and-pencil test and performance assessments reinforce that the different tests measure a common core of similar skills thus providing evidence for convergent validity. Results also show that students’ ability in performing scientific inquiry is significantly related to general cognitive ability. No relations are found between the measure of general metacognitive ability and the paper-and-pencil test or the three performance assessments. By contrast the metacognitive self-report test constructed to obtain information about application of metacognitive abilities in performing scientific inquiry, shows significant - although small - correlations with two performance assessments. Further explorations reveal sufficient scale reliabilities on subskill and empirical step level.Conclusions: The present study shows that science skills can be measured reliably by categorizing items on subskill and step level. Additional diagnostic information can be obtained by examining mean scores on both subskill and step level. Such measures are not only suitable for assessing students’ mastery of science skills but can also provide teachers diagnostic information to adapt their instructions and foster the learning process of their students.
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In this study, a data feedback program to improve teachers’ science and technology (S&T) teaching skills was designed and tested. The aim was to understand whether and how the four design principles underlying this program stimulated the intended teacher support. We examined how teachers in different phases of their career applied and experienced the employed design principles’ key aspects. Eight in-service teachers and eight pre-service teachers attended the data feedback program and kept a logbook in the meantime. Group interviews were held afterwards. Findings show that applying the four employed design principles’ key aspects did support and stimulate in- and pre-service teachers in carrying out data feedback for improving their S&T teaching. However, some key aspects were not applied and/or experienced as intended by all attending teachers. The findings provide possible implications for the development and implementation of professional development programs to support in - and pre-service teachers’ S&T teaching using data feedback.
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Abstract Despite the numerous business benefits of data science, the number of data science models in production is limited. Data science model deployment presents many challenges and many organisations have little model deployment knowledge. This research studied five model deployments in a Dutch government organisation. The study revealed that as a result of model deployment a data science subprocess is added into the target business process, the model itself can be adapted, model maintenance is incorporated in the model development process and a feedback loop is established between the target business process and the model development process. These model deployment effects and the related deployment challenges are different in strategic and operational target business processes. Based on these findings, guidelines are formulated which can form a basis for future principles how to successfully deploy data science models. Organisations can use these guidelines as suggestions to solve their own model deployment challenges.
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