ÖĞRETMEN YETERLİK İNANÇLARININ TEKNOLOJİK PEDAGOJİK ALAN BİLGİLERİNİ YORDAMA GÜCÜ: HİYERARŞİK ÇOKLU REGRESYON ANALİZİ.

Teacher self-efficacy refers to the affective nature of teachers' decisions to participate in technology integration practices, as well as technological pedagogical content knowledge emphasizes the cognitive nature of teachers' decisions to participate in technology integration practices. Since the knowledge and beliefs held by the teacher or preservice teachers are intertwined and inextricably linked, both are considered essential components of teacher knowledge. This study examined the nature of the complex interaction between preservice teachers' self-efficacy beliefs and their technological pedagogical content knowledge. The relational screening model, one of the quantitative research designs, was used in the research. The target population of the research was the preservice teachers studying in Central Anatolia, and the sample consisted of 205 pre-service teachers selected randomly from the target population. Technological Pedagogical Content Knowledge Self-Assessment Scale (TPACK-SAS) and The Teachers' Sense of Efficacy Scale (TSES) were used to obtain the data. Frequency, percentage, mode, median, arithmetic mean, and standard deviation were calculated, and hierarchical multiple regression was performed to analyze data. According to the results of the research, pre-service teachers' TPACK, TCK, TPK, and PCK components have average scores at the agree level, while their teacher-efficacy (efficacy in student participation, in teaching strategies, and in classroom management) beliefs have average scores at a slightly sufficient level. The predictive effects of teacher-efficacy sub-dimensions on the TPACK central component were examined as a block, and there was a positive medium relationship between efficacy beliefs in student participation and the central component TPACK. 12% of the variance in TPACK was explained by teacher efficacy (efficacy in student participation). Teacher-efficacy beliefs subdomains and derived knowledge domains (TCK, TPK, and PCK) explained 55.6% of the variance in the central component, TPACK. Similar studies can be performed in different contexts, and different variables (beliefs, attitudes) can be included in the process, and the factors affecting the intention of teachers or teacher candidates to use technology can be examined. [ABSTRACT FROM AUTHOR]