The Last-ten Years of Big Data in Vocational Education: A Scoping Review Theodore Oduro-Okyireh, Emmanuel Obobi Tettehfio, Quienera Nyeon Joshua, Sherly Rahmawati
Cape Coast Technical University (CCTU), Ho Technical University, Universiti Malaysia Sarawak
Abstract
Big data is a new technology containing a massive amount of data to be processed. In education, particularly vocational education, the utilization of big data is still scarce. The study deciphered the overview of big data in vocational education, which has been started being researched in the last ten years, from 2013 to 2022. In a focused systematic review, this study used a scoping review to reveal the findings deeply by implementing PRISMA -Scr flow diagram for the selection method. The data mining was conducted through the reliable and quality-checked database, Scopus. The searching process was limited by its type of document, publication stage, source type, and language to ensure the best results of the review. Of the 313 results in the Scopus database, 31 articles were filtered by applying the limitation, and only 10 articles were lastly selected to be included in the scoping review process. The results mainly discussed the use of big data in vocational education as analytical process data, prognostications in the TVET field of studies, personalized training systems based on big data, job platform development utilizing big data, or any other personalized services that big data could handle. To sum up, even though big data is still rarely used, the utilization of big data in vocational education might be highly rocketing since the demands and developments of technology. Additionally, further research may conduct more empirical research related to the application of big data in vocational education.
Keywords: Big Data, Vocational Education, Scoping Review
