Comparative Study of Data Analytics Readiness between ISEC and Non-ISEC Faculty
DOI:
https://doi.org/10.37134/jcit.vol14.2.7.2024Keywords:
DELTTA, Big data analytics, Scholarly exchange curriculum, AcademicAbstract
Non-international scholarly exchange curriculum programs follow traditional educational frameworks may not help to refine educational processes. To overcome this shortcoming, this study determines the differences in data analytics readiness between international scholarly exchange curriculum and non-international scholarly exchange curriculum faculty in Chinese higher education institution. By using DELTTA instrument, the findings suggest that (i) expanding diverse samples, investigating multidimensional relationships, and leveraging mixed methods are key future directions, (ii) culturally responsive research will empower diverse faculty by uncovering nuanced insights to guide the development of inclusive big data analytics policies and environments in our increasingly data-driven educational landscape, and (iii) highlighting the need for targeted interventions to ensure uniform big data analytics readiness across diverse academic domains.
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