2018
DOI: 10.3390/educsci8040184
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Assessment of Competencies in Scientific Inquiry Through the Application of Rasch Measurement Techniques

Abstract: 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 underestim… Show more

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Cited by 37 publications
(38 citation statements)
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“…Meanwhile Özgelen (2012) support students' reasoning and thinking in solving problems. Accordingly, many countries highlight the importance of explicit teaching and learning of science process skills in their science curriculum (Arnold et al, 2018). The same situation prevails in Malaysia.…”
Section: Research Problemmentioning
confidence: 99%
“…Meanwhile Özgelen (2012) support students' reasoning and thinking in solving problems. Accordingly, many countries highlight the importance of explicit teaching and learning of science process skills in their science curriculum (Arnold et al, 2018). The same situation prevails in Malaysia.…”
Section: Research Problemmentioning
confidence: 99%
“…Teacher professionalism competence is more focused on teachers to master the learning material widely and deeply. Although the curriculum training has been carried out, there are still many teachers who admit that it is difficult, complicated and confusing to master this new curriculum, especially how to assess students (Arnold, Boone, Kremer, & Mayer, 2018). Many different opinions about how to assess make the teachers confuse to apply it in the field.…”
Section: Introductionmentioning
confidence: 99%
“…The QAIC-cycle is based on preliminary models. First, it is partly based on a scientific inquiry competence model developed by Arnold, Boone, Kremer and Mayer (2018) where scientific inquiry is conceptualized as a problem-solving process. Although Arnold et al (2018) emphasize that the scientific problem-solving process is not a linear process, they identified three key components or sub-competencies specifically for experimentation.…”
Section: Theoretical Framework and Qaic-cyclementioning
confidence: 99%
“…One of the three formulated sub-competencies of scientific inquiry competence after Arnold et al (2018) is operationalized as "formulate scientific questions" and, if necessary, generating a testable related hypothesis. The dependent and the independent variables are defined as "part of the research question".…”
Section: / 18mentioning
confidence: 99%
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