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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Information about a research study on how data science and artificial intelligence can contribute to modern education aimed at identifying and developing talents of students. Het verslag is gepubliceerd onder de titel: Future skills of journalists and artificial intelligence in education
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Using socio-scientific issues as a learning context is an effective approach to achieve an important goal in science education, which is to enhance scientific literacy. It involves strengthening skills such as argumentation while also improving an understanding of the Nature of Science and imparting content knowledge. The present study evaluates the impact of a web-based educational instrument consisting of a unique combination of features designed to promote students’ development of skills and knowledge as well as to address the challenges faced by teachers in teaching socio-scientific issues. Participants included 423 students in secondary education. Students in the experimental condition received a three-lesson intervention with the educational instrument, and students in the control condition followed their regular science lessons. Findings indicated that the instrument proves effective in fostering learning outcomes while teachers benefit from the shift of managing classroom discussion to individual guidance of students. Applying the educational instrument in the classroom demonstrates promise in improving student engagement and their comprehension of socio-scientific issues.
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Information about a research study on how data science and artificial intelligence can contribute to modern education aimed at identifying and developing talents of students. De presentatie is gepubliceerd onder de titel: Future skills : and whre to find them?
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The research in this dissertation aims to investigate the acquisition of students’ science skills in grades 5 and 6 of primary education in the Netherlands. In most primary science classes, science skills are mainly taught by way of conducting investigations. However, prior research indicates that explicit instruction and separate skills training may be more effective. In this dissertation, four studies are discussed. In the first study, an instructional framework was developed based on a categorization of science skills into thinking skills, science-specific skills and metacognitive skills. This instructional framework was used to develop lessons using systematic instruction aimed at the development of these different skills. The second study describes the development and psychometric quality of the measurement instruments in order to examine the acquisition and transfer of science skills. Two paper-and-pencil tests, three performance assessments and two questionnaires were used for this purpose. In a third study, the effects of two experimental conditions were evaluated, following an experimental pretest-posttest design: a condition with explicit instruction and a condition in which all aspects of explicit instruction were absent. Students in both conditions received an 8-week intervention and were compared to students in a baseline condition who followed their regular science curriculum. The fourth study addresses the use of performance assessments as a diagnostic tool for science teachers. In general, the results indicate that the measurement instruments can be used to reliably measure science skills. Findings also show that explicit instruction facilitates acquisition and transfer of science skills.
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We assess the incidence of numeracy skills mismatch in five countries: Belgium, Chile, Italy, Netherlands, and the United States of America. To do this, we make use of a new approach (Brun-Schamme & Rey, 2021), namely by identifying someone as being mismatched if the score for numeracy skills is outside the interval [median – SD , median + SD]. We make use of the PIAAC dataset, collected by the OECD, a survey that measures adults’ proficiency in numeracy among other type of skills. We find that 14% of the workers are over-skilled, whereas 16% are under-skilled. Being over-skilled is more likely for men, younger age-groups, having a high level of education, using numeracy skills often at work, and having studied science, mathematics, and engineering.
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In most primary science classes, students are taught science skills by way of learning by doing. Research shows that explicit instruction may be more effective. The aim of this study is to investigate the effects of explicit instruction in an inquiry-based learning setting on the acquisition of science skills for students in primary education. Participants included 705 Dutch 5th and 6th graders. Students were randomly assigned to either an explicit instruction condition including an 8-week intervention of explicit instruction on inquiry skills; an implicit condition in which students were taught by learning by doing; or a baseline condition in which students followed their regular science curriculum. To assess the effects, measurement instruments for evaluating the acquisition of science skills were developed. Results of a multi-level analysis indicated that explicit instruction facilitates development of science skills. Therefore, this study provides a strong argument for including an explicit teaching method for developing science skills in primary science education.
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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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Poster presentation on work package Open Science within RUN-EU PLUS
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