WCET Predictive Analytics Reporting (PAR) framework project, which of course millions of records for review and analysis
Boulder, CO (NYSE) 17 October 2011
WCET, the WICHE Cooperative for Educational Technologies, announces the successful merger of records from the six institutions involved in the PAR (Predictive Analytics Reporting) Framework Convention on proof of concept project only four months after the project is to start in early June . The goal of the PAR framework is to influence the variables, student retention and progression and to identify determine the effects of various factors on demographic data, and loss of momentum. The data is used to model, to explore, to arise when the records clearly analyzed from various institutions as a single, uniform sample.
The database contains over 640,000 anonymous student data and course level over 3 million records, which are common to 33 variables. The institutions are public / private, and proprietary two-year/four-year and publicly funded institutions.
“We have to use analytics as a tool for improving student retention and development for several years,” said Dr. Phil Ice, Vice President, Research & Development, American Public University System, and principal investigator of the PAR Framework the project. “Unifying may provide records from a number of schools has the potential to be generalized patterns that lead to institutions across the board, regardless of the level set by its internal analytics know-how.” Ice continues: “In the field of higher education, not a predictive analytics project has succeeded in using a multi-institutional sample of this size as a researcher, with a sample size of this number will change everything..”
WCET member institutions in the PAR Framework project involved American Public University System are (apus.edu), Colorado Community College System (cccs.edu), Rio Salado College (riosalado.edu), University of Hawaii system (hawaii . edu), University of Illinois Springfield (uis.edu) and the University of Phoenix (phoenix.edu). Each institution receives IRB (Institutional Review Board) approval. All data were anonymized and encrypted to ensure that no data are personally identifiable.
“We were warned that we are never prepared six schools are working together on something as sensitive as an institutional student and course level data federation project,” said Ellen Wagner, Executive Director, WCET. “It is exciting to see how advanced WCET member institutions to bring the power of” big data “to post-secondary education in the United States. Not only is the size of the data set precedent, is the diversity of the participating institutions give us granular insight into similarities and differences between universities in the for-profit, public and community college segments. “
A summary of initial results for presentation at the 23rd WCET Annual Conference in Denver, Colorado 27th Begin in October. http://wcetconference.wiche.edu/
The PAR program
The Predictive Analytics Reporting (PAR) framework is a longitudinal data-mining project on the development of large-scale analysis of federated data sets contributed by post secondary institutions to expand our understanding of the pupil and loss of momentum centered. The PAR framework has been developed to better inform students and the driver’s loss prevention in terms of promoting student progression and completion.
About WCET
The WICHE Cooperative for Educational Technologies (WCET) is a cooperative, membership driven, non-profit provider of solutions and services to accelerate the adoption of effective practices and policies that promote excellence in technology-enhanced teaching and learning in higher education. More information about institutional membership WCET of the resources, services and interest groups can http://wcet.wiche.edu WCET on the website. Be
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