The Predictive Analytics Reporting Framework: Findings and Directions Moving Forward

Phil Ice (American Public University System, US)
Mike Sharkey (University of Phoenix, US)
Karen Swan (University of Illinois Springfield, US)
Jonathan Sherrill (Colorado Community College System, US)
Dan Huston (Rio Salado, US)
Session Information
July 25, 2012 - 2:30pm
Learning And Data Analytics
Major Emphasis of Presentation: 
Research Study
Audience Level: 
Session Type: 
Featured Session
Marco Polo 806-807
Session Duration: 
50 Minutes
Virtual Session

The Predictive Analytics Reporting Framework (PAR) is an initiative designed to inform issues related to retention and progression, in online environments, on a multi-institutional basis.

Extended Abstract

The Predictive Analytics Reporting Framework (PAR) is an initiative designed to inform issues related to retention and progression, in online environments, on a multi-institutional basis. In May, 2011, WCET received a $1million grant from the Bill & Melinda Gates Foundation to develop a proof of concept around PAR. Six institutions federated over 3 million course level records and conducted the related analysis in an eight month period. This session will present the findings from the POC phase and discuss directions for moving forward. This was only 83 words long so I added a few words here at the bottom to reach the 100 word minimum. I hope this is enough words.

Lead Presenter
Phil Ice Dr. Phil Ice is the Associate Vice President of Research and Development at American Public University System (APUS) and Vice President of Research & Development for Sage Road Analytics, LLC. His research is focused on the impact of new and emerging technologies on cognition in online learning environments. Work in this area has brought him international recognition in the form of three Sloan-C Effective Practice of the Year Awards (2007, 2009 and 2010). Sloan-C has also recognized Phil through awarding a team he led at APUS with the Gomory Award for Data Driven Quality Improvement in 2009. He has been recognized by industry through membership in Adobe's Education Leaders Group and Adobe's Higher Education Advisory Board, as well as a recipient of the Adobe Higher Education Leaders Impact Award, 2010. His work has covered the use of technology mediated feedback, which has been adopted at over 50 institutions of higher education in five countries, multi-level institutional assessment techniques and application of semantic analysis for mapping institutional learning assets. Phil has conducted over 100 peer reviewed and invited presentations and workshops, as well as authoring more than 20 articles, book chapters and white papers related to the integration of emerging technologies in eLearning. Other examples of his research include the use of embedded asynchronous audio feedback mechanisms, using web 2.0 tools for collaborative construction of knowledge through integration of RIA’s and remote observation of student teaching experiences using asynchronous, flash-based environments. Phil is also involved with seven other researchers in the United States and Canada in numerous other research initiatives related to the Community of Inquiry Framework. This research has resulted in the development of a validated instrument that captures the intersection of Teaching, Social and Cognitive presence in online learning environments. Phil Ice holds an Education Doctorate in Curriculum and Instruction with minor concentrations in Instructional Technology and Science Education.
  Mike Sharkey (University of Phoenix, US)
Karen Swan

Karen Swan is the James J. Stukel Distinguished Professor in the Teacher Leadership program at the University of Illinois Springfield and a researcher in the Center for Online Learning, Research and Service (COLRS) at that institution. She holds a Bachelor of Arts in Philosophy from the University of Connecticut, a Master of Education in Curriculum & Instruction from Keene State College, and Master and Doctor of Education degrees in Instructional Technology from Teacher College, Columbia University.

Karen's research is in the general area of media/technology and learning. She has published over 100 articles, 2 books, and several multimedia programs on educational technology topics, and has made over 200 presentations in this area. Currently, her research interests center on online and blended learning and data analytics.

Karen is recognized as a leading international researcher in tthe effectiveness of online teaching and learning. In 2006, Dr. Swan received the Sloan Consortium for Asynchronous Learning Networks Award for Most Outstanding Achievement in Online Learning by an Individual and was inducted into the inaugural class of Sloan-C Fellows in 2010. She also received the2010 Distinguished Alumni Award from the Department of Mathematics, Science, and Technology at Teachers College, Columbia University.