PAR Framework Releases Results of Groundbreaking Research Predicting Transfer Student Success With Community College Data.

This study replicated research conducted over several years by UMUC that had considered factors and behaviors among community college students to identify variables predicting academic success at the students’ 4-year transfer institution. The ability to apply results from one research study based on a local sample to a larger, national population has traditionally been compromised…

PAR Framework and the American Institutes for Research (AIR) Announce Metrics and Measurement Partnership

PAR Framework, Inc., the leading independent, non-profit provider of learner analytics as a service, today announced a partnership with the American Institutes for Research (AIR) to extend higher education outcomes metrics and measurement efforts at the national policy level. This partnership will feature the active collaboration of more than 15 US post-secondary institutions focused on…

PAR Framework Announces the Release of “Performance Funding, Learner Analytics and Outcomes”

New white paper highlights significance of learner analytics and common outcomes measures that includes all types of students in the US postsecondary ecosystem. PAR Framework, Inc., the leading independent, non-profit provider of learner analytics as a service, today announced the release of Performance Funding, Learner Analytics and Outcomes, a white paper exploring the emergence of…

Russ Little Joins the PAR Framework as Chief Innovation Officer

Higher education technology innovator brings practice expertise, vision for student success to national learner analytics collaborative.  Boulder CO, September 24, 2014: The WICHE Cooperative for Educational Technologies has announced that Robert R. (Russ) Little has joined the Predictive Analytics Reporting (PAR) Framework as its Chief Innovation Officer. Mr. Little comes to the PAR Framework following…

PAR Framework Project to Launch as Independent Non-Profit Organization

The targeted launch date for PAR independence is December 9, 2014. Founded in 2011, the PAR Framework has grown from a “big idea” funded by foundation research grants into a national non-profit collaborative venture of data-sharing institutions working to use predictive analytics, tied to intervention measurement, to solve student success challenges. Read more.

Predictive Analytics Reporting (PAR) Framework Releases Common Data Definitions

Data definitions for all variables published using the Data Cookbook by IData, Inc. Today the WCET-managed Predictive Analytics Reporting (PAR) Framework project publicly released full data definitions for the more than 60 institutional, transcript and student-level data collected from its 16 institutional partners for inclusion in the PAR database. This is the first time that…

Capella University Joins WCET’s Predictive Analytics Reporting (PAR) Framework to Harness the Power of Big Data

The online university and the other PAR Framework partner institutions are committed to raising the quality bar on student success and online learning excellence MINNEAPOLIS–(BUSINESS WIRE)–Capella University (http://www.capella.edu), an accredited online university* that has built its reputation by providing high quality online degree programs, has joined WCET’s Predictive Analytics Reporting (PAR) Framework, a ground-breaking project…

Predictive Analytics Reporting (PAR) Receives Support

Predictive Analytics Reporting (PAR) Receives Support  WCET’s Predictive Analytics Reporting (PAR) Framework Brings the Power of Big Data to Online Learning Partners from  16 US Higher Education institutions will come together to share practices, intervention strategies and anonymized records from more than 1 million students to look for patterns that predict success. The Western Interstate…