Exploring Cross-Cultural Communication in Education through Big Data Bibliometric Analysis

Learning brings students and educators from different backgrounds together, challenging cross-cultural communication. As the institution becomes increasingly diverse, understanding the concept of cultural intelligence and strategies for inclusion becomes imperative for providing an inclusive environment in learning. The holistic bibliometric approach of CCC combined with big data analytics (CCC-BA) represents the method used in this research to analyze the development of CI in educational literature. Inter-cultural communication evolvement was tracked, core themes were determined, and cross-cultural communication was assessed empirically on a sample basis of multicultural student teams. The current research studied the level at which instructors can communicate cross-culturally and explored how the analytic principle can enhance teaching. Results were significant, with the reference value being 89.7% when carrying out multivariate analysis of factors that influence intercultural communication competence using big data analytical methods. The findings highlighted areas where future research was urgently required, provided practical suggestions for teachers, and demonstrated that CI leads to less cultural misunderstanding and better collaboration. They also recommended incorporating intercultural communication training into school programs for students and teachers. These results evidence the potential of raising cultural awareness at school for improving learning and teamwork in multicultural classrooms, to ensure environments that value and understand diversity.

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Published
2024-12-12
DOI
https://doi.org/10.1109/icercs63125.2024.10894936
Primary Topic
Technology and Data Analysis
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article
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article

Exploring Cross-Cultural Communication in Education through Big Data Bibliometric Analysis

Waleed Khalid Al‐Azzawi, Nema H. Hameed, Ali Ali Saber Mohammed, Jasim Mohammed Rajaa
Technology and Data Analysis
article

Exploring Cross-Cultural Communication in Education through Big Data Bibliometric Analysis

Waleed Khalid Al‐Azzawi, Nema H. Hameed, Ali Ali Saber Mohammed, Jasim Mohammed Rajaa
article en

Abstract

Learning brings students and educators from different backgrounds together, challenging cross-cultural communication. As the institution becomes increasingly diverse, understanding the concept of cultural intelligence and strategies for inclusion becomes imperative for providing an inclusive environment in learning. The holistic bibliometric approach of CCC combined with big data analytics (CCC-BA) represents the method used in this research to analyze the development of CI in educational literature. Inter-cultural communication evolvement was tracked, core themes were determined, and cross-cultural communication was assessed empirically on a sample basis of multicultural student teams. The current research studied the level at which instructors can communicate cross-culturally and explored how the analytic principle can enhance teaching. Results were significant, with the reference value being 89.7% when carrying out multivariate analysis of factors that influence intercultural communication competence using big data analytical methods. The findings highlighted areas where future research was urgently required, provided practical suggestions for teachers, and demonstrated that CI leads to less cultural misunderstanding and better collaboration. They also recommended incorporating intercultural communication training into school programs for students and teachers. These results evidence the potential of raising cultural awareness at school for improving learning and teamwork in multicultural classrooms, to ensure environments that value and understand diversity.

University of Kirkuk (IQ), Al-Nisour University College (IQ)
Quality Education
Openalex Percentile: Top 56%
Technology and Data Analysis
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Exploring Cross-Cultural Communication in Education through Big Data Bibliometric Analysis — Waleed Khalid Al‐Azzawi, Nema H. Hameed, et al. · (2024) | TGRS Research Map | TGRS