Role of Social Justice in the Relationship Between Cultural Intelligence and Attitude Toward Teaching Profession

Karataş, Kasım; Han, Bünyamin

doi:10.2478/jtes-2022-0007

Cited by 1 publication

(1 citation statement)

References 57 publications

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“…Examining the implications through the lenses of Albert Bandura's Social Cognitive Theory and Urie Bronfenbrenner's Ecological Systems Theory underscores the significance of the study's findings. Educators possessing higher cultural intelligence (CQ), as suggested by Karataş and Han (2022), may demonstrate greater proficiency in adapting their instructional approaches to accommodate the diverse needs of students hailing from varied cultural backgrounds. Moreover, an instructor witnessing improvements in their students’ learning performance is likely to experience a heightened motivation to teach.…”

Section: Discussionmentioning

confidence: 99%

Predicting teachers’ sense of efficacy: A multimodal analysis integrating SEM, deep learning, and ANN

Arpaci,

Karataş,

Gün

et al. 2024

Psychology in the Schools

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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.

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Section: Discussionmentioning

confidence: 99%