Analytics: The Game Changer 2014 Educational Leadership Conference. Dr. Linda L. Baer i4solutions

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Transcription:

Analytics: The Game Changer 2014 Educational Leadership Conference Dr. Linda L. Baer i4solutions

DATA ARE CHANGING EVERYTHING

Challenge: How do you find the student at risk? http://www.youthareawesome.com/wp-content/uploads/2010/10/wheres-waldo1.jpg

Challenge: How do you find the student at risk? http://www.youthareawesome.com/wp-content/uploads/2010/10/wheres-waldo1.jpg

How do you know if students are learning? Measurement and learning outcomes Competencies Use of tools to track Action and interventions Ongoing assessment

http://www.educause.edu/ero/article/penetrating-fog-analytics-learning-and-education Learning Analytics Learning analytics - measurement, collection, analysis and reporting of data about learners and their contexts, for understanding and optimizing learning. Academic analytics - application of business intelligence in education and at course, program and institutional levels Data produces actionable intelligence by combining large data sets, statistical techniques, and predictive modeling.

Strategic Intelligence for Higher Education What s the best that can happen? What will happen next? What if these trends continue? Why is this happening? What actions are needed? Where exactly is the problem? How many, how often, where?

What is Predictive Analytics? Descriptive Analytics What has happened? Informative Reports & dashboards Describing information or data Predictive Analytics What is most likely to happen? Potentially transformative Targeted alerts Delivering actionable, realtime insights MORE ACTIONABLE DATA Predictive Analytics Turning Insights into Action to Improve Student Success Sloan C Emerging Technologies for Online Learning April 2014 8

Cross Functional Intervention Team Advising IT Academic Departments Student Services Interventions Team Provost Office Inst. Research Analytics Predictive Analytics Turning Insights into Action to Improve Student Success Sloan C Emerging Technologies for Online Learning April 2014 9

Predictive Analytics Reporting Key Predictors Learner characteristics Learner behaviors Academic integration Social/psychological integration Other learner support Course/program characteristics Instructor characteristics and behaviors Predictive Analytics Reporting Framework idata cookbook

Student Success Matrix http://wcet.wiche.edu/wcet/docs/data-summit-2013/predictiveanalyticsreportingframework_academicriskidentification.pdf

Can We Change the Equation? Instructor behaviors Learner Characteristics Academic Integration Course & Program characteristics Learner Behaviors Completion, Reenrollment, completion Social-Psychological integration Predictive Analytics Adapted from PAR Predictive Analytics & Retention Model 12

Ph.D. Completion and Attrition: Policies and Practices to Promote Student Success Student selection and admissions Mentoring and advising Financial support Program environment Research experience Curricular and administrative processes and procedures Sowell, Bell and Kirby Ph.D. Completion and Attrition: Policies and Practices to Promote Student Success. Council of Graduate Schools. 2010

http://www.grad.illinois.edu/sites/default/files/researchschemagraphic.png

Siemens and Long, Penetrating the Fog, EDUCAUSE review, September 2011

Competency Defined A competency is a combination of skills, abilities, and knowledge needed to perform a specific task National Postsecondary Education Cooperative (NPEC) (2001) Slides provided by Capella University

Emerging now are a set of rapidly developing technology tools to support students as they progress through a course and program. Depending on the individual student s understanding of specific ideas, concepts, and operations, these tools have the capacity to personalize the learning experience for every student chart individual pathways through course materials Enable interventions from faculty, advisors and mentors Improve student progress and success STUDENT SUCCESS SOLUTIONS

Legacy ERP/SIS/LMS The market is immature, but multiple solutions are emerging in each application category Education Planning Counseling and coaching Risk Targeting and Intervention Transfer and Articulation Vendor point solutions Homegrown point solutions Sinclair s MAP Valencia s LifeMap Austin Peay s Degree Compass Central Piedmont s Online Student Profile WICHE s Predictive Analytics Reporting Direct-to-student Bill & Melinda Gates Foundation 2010

Shifts in Public Policy Competency-Based Education US Department of Education approves certain programs not offered in credit or clock hours 3-13 College for America S. New Hampshire University approved by DOE 4-13 Project-based competencies Partners with employers $2500/year Capella University FlexPath competency-based bachelor s and Master s degree approved using direct assessment learning model 8-13 N. Arizona University s Personalized Learning program receives HLC approval for three competency-based programs 120 competencies Pay flat rate of $2500 per six month period vs. $8,000 per semester U of Wisconsin s UW Flex Collaboration between UW System and the UW Extension 13 2-year colleges Flexible routes to degrees Working adults with families Weise and Christensen. Hire Education. Clayton Christensen Institute. 2014

Convergence Right learning model Right technologies Right customers/learners Right business model

QUESTIONS & COMMENTS LINDALBAER0508@GMAIL.COM