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Systematic Review (2003–2023): Exploring Technology-Supported Cross-Cultural Learning through Review Studies

Author

Listed:
  • Rustam Shadiev

    (College of Education, Zhejiang University, Hangzhou 310014, China)

  • Wayan Sintawati

    (School of Education Science, Nanjing Normal University, Nanjing 210023, China)

  • Nurassyl Kerimbayev

    (Faculty of Information Technology, Al-Farabi Kazakh National University, Almaty 050040, Kazakhstan)

  • Fahriye Altinay

    (Societal Research and Development Center, Faculty of Education, Institute of Graduate Studies, Near East University, 99138 Nicosia, Turkey)

Abstract

Technology-supported cross-cultural learning (TSCCL) is essential for effective intercultural communication, fostering global understanding, and facilitating collaboration in an interconnected world. Although previous studies and review articles have explored this field, a comprehensive analysis of trends and key findings in these reviews is lacking. This study aims to fill this gap by conducting a thorough examination of existing review studies. We employed a narrative synthesis approach consisting of three phases: preparation, organization, and abstraction. We selected and systematically reviewed thirty-one review articles published in twenty-five journals between 2003 and 2023. Our findings highlight key aspects of the reviewed articles, such as keywords, databases, selection criteria, theoretical foundations, content analysis, research questions, findings, and limitations related to technology-supported cross-cultural learning. We found that the researchers used various strategies for literature searches, including single, double, or multiple keywords depending on the study’s focus. The most commonly used keywords were telecollaboration, intercultural, communication, competence, language learning, and technology, indicating their significance in current research and practice. The number of papers reviewed varied across studies, as did the timeframe coverage, ranging from a few years to several decades. Researchers employed different databases, with Web of Science, ERIC, Scopus, and Google Scholar being the most popular choices. Inclusion and exclusion criteria were established to ensure methodological rigor and relevance. Theoretical foundations, such as the telecollaboration model and intercultural communicative competence model, were frequently employed. Open coding was the dominant content analysis approach used. Research questions were present in some studies but not explicitly stated in others. These findings shed light on the strategies and considerations used by researchers in conducting review studies on technology-supported cross-cultural learning, providing guidance for future research. The study presents a reference table encompassing all previously published reviews, which can be valuable for future scholars. By gaining insights from past studies and identifying unexplored research avenues, researchers can benefit from this report. Additionally, the implications and suggestions derived from this review study are valuable for educators and researchers in the TSCCL field. This review addresses gaps in the existing literature and contributes to advancing knowledge in the field of TSCCL.

Suggested Citation

  • Rustam Shadiev & Wayan Sintawati & Nurassyl Kerimbayev & Fahriye Altinay, 2024. "Systematic Review (2003–2023): Exploring Technology-Supported Cross-Cultural Learning through Review Studies," Sustainability, MDPI, vol. 16(2), pages 1-36, January.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:2:p:755-:d:1319857
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    References listed on IDEAS

    as
    1. Aras Bozkurt & Abdulkadir Karadeniz & David Baneres & Ana Elena Guerrero-Roldán & M. Elena Rodríguez, 2021. "Artificial Intelligence and Reflections from Educational Landscape: A Review of AI Studies in Half a Century," Sustainability, MDPI, vol. 13(2), pages 1-16, January.
    2. Qinxu Jiang & Shimin Soon & Yuandong Li, 2021. "Enhancing Teachers’ Intercultural Competence with Online Technology as Cognitive Tools: A Literature Review," English Language Teaching, Canadian Center of Science and Education, vol. 14(3), pages 1-1, March.
    3. Wu-Yuin Hwang & Rio Nurtantyana, 2022. "X-Education: Education of All Things with AI and Edge Computing—One Case Study for EFL Learning," Sustainability, MDPI, vol. 14(19), pages 1-23, October.
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