Prospect of Big Data Analysis in Institutional Research
The concepts and methodologies of the Institutional Research (IR) have been extensively used in the managements, academic developments as well as the evaluation, decision making and quality assurance of the important strategic planning of universities. Due to the uprising agitation of data science, which including international open data resource, big data, internet of things (IOT), smart city and industry 4.0, as well as the evolving of the higher education environment, the implement of big data analysis in IR has started a stream of movement. In the present study, under the goal of accountable learning outcome assurance, the big data algorithms could be employed in the IR to build up the ideology of using data science in the institutional administration and to enhance the administration performance. In addition, with the complex cause-effect relations among student characteristics, instructor teaching, course uniqueness and vocational manifestation, the use of big data analysis and predictive models (algorithms) in IR are illustrated. The predictions can be feedback to the mechanisms of enrollment and selection of new students, and set up an optimal enrolling and matching system to assist each department to locate students that are the most suitable for the education philosophy and specialty developments of the university.
|關鍵詞||巨量資料、校務研究、資料科學、預測模型、演算法、big data、institutional research、data science、predictive model、algorithm|