Prof. Upmeier zu Belzen erforscht, wie angehende und praktizierende Lehrkräfte wissenschaftliche Denk- und Arbeitsweisen – insbesondere Modellierungsprozesse – verstehen und unterrichten können. Ihr aktueller Fokus liegt auf der Erfassung von Metawissen über Modelle und Modellierungsprozesse bei Lehrkräften sowie auf der Frage, welche Wissensfacetten (Fachwissen, didaktisches Wissen, Metawissen) für effektives Modellieren notwendig sind. Sie entwickelt und erprobt Lehr-Lern-Formate – von Fallstudien über Gamification bis zu digitalen Lernumgebungen – um diese Kompetenzen in der Lehrerausbildung zu fördern und untersucht empirisch deren Wirksamkeit. Ihre Arbeiten adressieren sowohl Schulen als auch außerschulische Lernorte (Zoos, Museen) und verbinden naturwissenschaftliche Fachdidaktik mit Nachhaltigkeitsbildung und Inklusion. Für Schulverlage, Bildungsmedienunternehmen und Museen bietet sie evidenzbasierte Erkenntnisse zur Gestaltung wirksamer Lernmaterialien und -szenarien.
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Prof. Dr. Annette Upmeier zu Belzen
HU-FIS-Profil ↗TRAIN 4 Science - Gamification zur Analyse und Reflexion von Kontroversen in Wissenschaft und Gesellschaft
company
Gamification for Climate Action
other
Innovative Förderansätze für effektive Klimabildung - Empirische Studie zur Wirksamkeit von gamifizierten Lernangeboten an außerschulischen Lernorten
foundation
Digitalisierungsbezogene und digital gestützte Professionalisierung von MIN-Lehrkräften
university
Digitalisierungsbezogene und digital gestützte Professionalisierung von MIN-Lehrkräften
other
Zeitraum: 10/2005 - 11/2008 Projektleitung: Prof. Dr. Annette Upmeier zu Belzen
Zeitraum: 02/2006 - 09/2012 Projektleitung: Prof. Dr. Annette Upmeier zu Belzen
Zeitraum: 12/2006 - 05/2007 Projektleitung: Prof. Dr. Annette Upmeier zu Belzen
International Journal of Science Education · DOI
Research in the field of students' understandings of models and their use in science describes different frameworks concerning these understandings. Currently, there is no conjoint framework that combines these structures and so far, no investigation has focused on whether it reflects students' understandings sufficiently (empirical evaluation). Therefore, the purpose of this article is to present the results of an empirical evaluation of a conjoint theoretical framework. The theoretical framework integrates relevant research findings and comprises five aspects which are subdivided into three levels each: nature of models, multiple models, purpose of models, testing, and changing models. The study was conducted with a sample of 1,177 seventh to tenth graders (aged 11-19 years) using open-ended items. The data were analysed by identifying students' understandings of models (nature of models and multiple models) and their use in science (purpose of models, testing, and changing models), and comparing as well as assigning them to the content of the theoretical framework. A comprehensive category system of students' understandings was thus developed. Regarding the empirical evaluation, the students' understandings of the nature and the purpose of models were sufficiently described by the theoretical framework. Concerning the understandings of multiple, testing, and changing models, additional initial understandings (only one model possible, no testing of models, and no change of models) need to be considered. This conjoint and now empirically tested framework for students' understandings can provide a common basis for future science education research. Furthermore, evidence-based indications can be provided for teachers and their instructional practice.
Research in Science Education · DOI
International Journal of Science Education · DOI
Research on predictors of achievement in science is often targeted on more traditional content-based assessments and single student characteristics. At the same time, the development of skills in the field of scientific inquiry constitutes a focal point of interest for science education. Against this background, the purpose of this study was to investigate to which extent multiple student characteristics contribute to skills of scientific inquiry. Based on a theoretical framework describing nine epistemological acts, we constructed and administered a multiple-choice test that assesses these skills in lower and upper secondary school level (n = 780). The test items contained problem-solving situations that occur during chemical investigations in school and had to be solved by choosing an appropriate inquiry procedure. We collected further data on 12 cognitive, motivational, and sociodemographic variables such as conceptual knowledge, enjoyment of chemistry, or language spoken at home. Plausible values were drawn to quantify students’ inquiry skills. The results show that students’ characteristics predict their inquiry skills to a large extent (55%), whereas 9 out of 12 variables contribute significantly on a multivariate level. The influence of sociodemographic traits such as gender or the social background becomes non-significant after controlling for cognitive and motivational variables. Furthermore, the performance advance of students from upper secondary school level can be explained by controlling for cognitive covariates. We discuss our findings with regard to curricular aspects and raise the question whether the inquiry skills can be considered as an autonomous trait in science education research.