International Journal of
Information and Education Technology

Abstract

Massive Open Online Courses (MOOCs) can be considered as one of the most prominent developments in education, which brings new opportunities for higher and vocational education. This paper presented an in-deep literature review on the application of data mining in MOOCs. We found there are 8 types of behavior data mainly researched by the existing publications, and then classified the main application of the data mining in MOOCs into 7 directions. However, there is as yet little evidence on the application of data mining on MOOCs for developing vocational education. Based upon the review findings, we presented 3 recommendations, including applying cluster to find the effective marketing area for vocational education organizations, applying association analysis to figure out vocational education course sets for the specific profession, and applying regression analysis to recommend the personalized career planning for candidates. This article can be useful for vocational institutes and MOOCs platforms to develop learner-centered strategies.