Adoption of Big Data in Higher Education for Better Institutional Effectiveness


  • Youngsik Hwang Higher Education & Student Affairs (HESA), Indiana University, USA.



Big data, Higher education, Institutional effectiveness, Campus environment, College student, Faculty, Institution.


Big data provides many opportunities to broaden existing insights in different fields and higher education also can use the big data for the better institutional performance. This study examines the conceptual models to adopt big data for institutional effectiveness on higher education system. Based on the three relevant entities including institution, faculty, and student, this research provides the relationship between them and construct the negotiable environment as well as the characteristics of relevant indicators. This research suggests the conceptual model that provide how relevant campus members pursuit the better institutional performance and what the individual targeting is. Conceptual model indicates the three main stakeholders exchange specific values under certain type of negotiable interactions and the trade makes better outcomes for institutional effectiveness in the long run. This relationships between the stakeholders generate potential connections with other players outside and the relation creates another chance to broaden range of institutional growth in the higher education system.


Download data is not yet available.

How to Cite

Hwang, Y. . (2019). Adoption of Big Data in Higher Education for Better Institutional Effectiveness. American Journal of Creative Education, 2(1), 31–44.