Ibrahim Arpaci, Kasım Karataş, Feyza Gün, Sedef Süer
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引用次数: 0
Abstract
This study aims to investigate the predictive role of cultural intelligence, motivation to teach, and “culturally responsive classroom management self‐efficacy” (CRCMSE) in teachers’ sense of efficacy. The study utilized a combination of “structural equation modeling” (SEM), deep learning, and “artificial neural network” (ANN) to analyze data collected from 1061 preservice teachers. The SEM analysis indicated that cultural intelligence, motivation to teach, and CRCMSE significantly predicted the sense of efficacy of the teacher candidates, accounting for 59% of the variance. Additionally, the ANN model accurately predicted the teachers’ sense of efficacy with 75.71% and 75.17% accuracy for training and testing, respectively. The sensitivity analysis revealed that CRCMSE played the most crucial role in predicting the preservice teachers’ sense of efficacy. The deep learning model also predicted the sense of efficacy with an overall accuracy of 74.18%. The utilization of a multimodal analysis approach facilitated the identification of both linear and nonlinear relationships between the constructs.
期刊介绍:
Psychology in the Schools, which is published eight times per year, is a peer-reviewed journal devoted to research, opinion, and practice. The journal welcomes theoretical and applied manuscripts, focusing on the issues confronting school psychologists, teachers, counselors, administrators, and other personnel workers in schools and colleges, public and private organizations. Preferences will be given to manuscripts that clearly describe implications for the practitioner in the schools.