Big Data Analytic Models: The Challenges of Philosophies as Covariates in Higher Education
Document Type
Article
Publication Date
4-8-2018
Publication Title
SAS Global Forum 2018
First page number:
1
Last page number:
9
Abstract
Use of BIG DATA analytics in business is commonplace and is supporting the growth of industries throughout the world. A major source of BIG DATA is K-12 and higher education. Since 2004 several billion in funding has been used to create BIG DATA systems in education, but there has been limited success in the use of this data to improve educational outcomes of students in the K-12 and Higher Education systems. Why? A singular goal of business is to generate revenue and evidence from BIG DATA facilitates these efforts. Too often in education, goals/outcomes are based on philosophies, rather than scientific evidence from BIG DATA. The purpose of this session is to outline the challenges of BIG DATA in higher education and the impact of philosophies as covariates.
Disciplines
Educational Assessment, Evaluation, and Research | Elementary and Middle and Secondary Education Administration | Elementary Education
Language
English
Repository Citation
Mulvenon, S. W.
(2018).
Big Data Analytic Models: The Challenges of Philosophies as Covariates in Higher Education.
SAS Global Forum 2018
1-9.