Investigation of Prospective Science Teachers' Grounded Mental Models by Mathematical Algorithms: Star Subject

Autor/inn/en	Ezberci-Çevik, Ebru; Kurnaz, Mehmet Altan
Titel	Investigation of Prospective Science Teachers' Grounded Mental Models by Mathematical Algorithms: Star Subject
Quelle	In: Malaysian Online Journal of Educational Technology, 10 (2022) 4, S.244-264 (21 Seiten) PDF als Volltext kostenfreie Datei Verfügbarkeit
Zusatzinformation	ORCID (Ezberci-Çevik, Ebru) ORCID (Kurnaz, Mehmet Altan)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
Schlagwörter	Schemata (Cognition); Astronomy; Science Teachers; Preservice Teachers; Science Education; Foreign Countries; Scientific Concepts; Algorithms; Turkey + Suchen Sie Ihr Suchwort? Cognition; Schema; Kognition; Astronomie; Science; Teacher; Teachers; Science teacher; Wissenschaft; Lehrer; Lehrerin; Lehrende; Naturwissenschaftliche Bildung; Ausland; Algorithm; Algorithmus; Türkei
Abstract	In this study, it is aimed to reveal the models related to star subject as one of the concepts of astronomy of prospective science teachers before and after the current instruction through model analysis. This modeling situation is expressed as a Grounded Mental Model (GMM), since there will be a mental modeling that is revealed according to what is presented within the limits defined to the person. The research was conducted with an integrated case study and experimental design. The study group consisted of 73 prospective science teachers. In this study, the Star Subject Concept Test (SSCT) developed by the researchers was used as the data collection tool. In the analysis of the data, algorithms and matrices which are among the model analysis elements were used. At the end of the study, it was determined that the majority of the GMMs they had before teaching about the star concept were in Inconsistent Mixed Models, At the end of the teaching period, it was determined that the majority of the candidates had GMMs reflecting the status of the Consistent Dominant Scientific Model. According to the GMM tendencies of the class, prospective teachers were found to be inconsistent in star identity question group in terms of GMM in pre-test; in the post-test, it was observed that the GMM tendencies of the class of prospective teachers in terms of GMM are highly inclined towards the correct expert model but they exhibit inconsistent status. In the light of the results obtained, suggestions were made to be used to evaluate the current situation before teaching, to examine the effectiveness of different teaching methods, to do workshops on this subject and analysis software development. (As Provided).
Anmerkungen	University of Malaya Faculty of Education. Kuala Lumpur 50603 Malaysia. e-mail: info@mojet.net; Web site: http://www.mojet.net
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01