1. Rise of Big Data in Higher Education EDUCAUSE Webinar March 22, 2012 By: Louis Soares Center For American Progress

2. Overview Personal Data and Consumer Agency Big Data in Higher Education? Why Big Data Matters? Co-Creating Value with Big Data Institutional Practices and Public Policies

3. What if Education Data was Personal and Mobile? http://www.youtube.com/watch?NR=1&v=8O1i0InZ8bM&feature=endscreen

4. The Rise of Consumer Agency

5. Big Data In Higher Education?

6. What is Big Data? Fine-grain Information –Customer Experiences –Organizational Processes –Emergent Trends Generated By Doing Business

7. Students Doing Business Course Selection Course Registration Apply for Financial Aid Class Participation Study Alone or in groups Use Online Resources Purchase/Return Textbook Work to support education

8. Black Box EDU

9. Technology-Enabled Learning U.S. Department of Education, National Education Technology Strategy, 2010 Each of these interactions is an opportunity to gather Big Data

10. Questions?

11. Why Big Data Matters? Cost Quality Knowing the customer Value Co-Creation

12. College Is Expensive

13. Quality Is In Question Study of 2,300 undergraduates –45 percent “demonstrated no significant gains in critical thinking, analytical reasoning, and written communications during the first two years of college” –36 percent show no improvement in four years

14. # of CredentialsSource 1.3 million degreesprojected population growth 4.3 million degreesincrease high school graduation rates, college-going rates of recent HS graduates, and postsecondary graduation rates 4.2 million degreeshalf of the 8.4 million adults (25-34) w/ some college complete degree 2.6 million degreesthird of the 8.8 million adults (35-44) w/ some college complete degree 3.4 million degreesfifteen percent of the 22.7 million adults (25-44) who have completed high school, but not attended college, complete a degree Additional 16M degrees needed to be the most educated by 2020 Source: National Center for Higher Education Management Systems, 2009

15. Know Your Customer Characteristics on Non-Traditional delayed enrollment PSE beyond the first year after HS Attend part time Are financially independent from their parents Work full time Have dependents other than a spouse Are a single parent Have no high school diploma or GED

16. What Is A Service? An offering in which: “deeds, processes, and performances” are provided in “exchange relationships” among organizations and individuals Value is co-created by supplier and consumer Examples include: –educational services, –health care services, –financial services, –Transportation services,

17. College As A Service A. UniversityB. Student C. College Education Transforms student knowledge through: agreements, relationships and other exchanges among students and university faculty, including courses offered and taken, tuition paid, and work-study arrangements. Student Resources Finances Preparation Self-Awareness Informed Service Relationship A & B create value together Responsibility Relationship A on C Responsibility Relationship B on C University Resources People Technology Processes

18. Questions?

19. Co-Creating Value with Big Data

20. Student Learning 425,000 students Web-based learning environments Self-directed Learning Adaptive instructional software Data Dashboards –Improve individual performance –Enhance course redesign –Predict future performance

21. Course Enrollment 40,000 Students Course Recommendation Engine –Service Oriented Higher Education Recommendation Personalization Assistant Student Profile –Course preferences –Schedules –Past courses Tools –Tutors –Time-management tools –Life-planning resources SHERPA

22. Course Success Early Warning System Study patterns and performance Student/Faculty Dashboard Profile Development –Student demographics –Grade books –Activity logs from online resources Benchmark successful students Seek Support

23. Student Lifestyle Management Learning Communities Behavioral Science Student Profile –Work/life details –Academics –Preferences Nudges to stay on-track –Mobile Platform –Time management –Academic Setbacks –Peer groups

24. Institutional Practices and Public Policies

25. Five Practices of High Performing Institutions Increase Rate of Degree Completion Culture of Completion and Outplacement Reduce nonproductive credits Reduce Cost per Student Redesign instruction delivery Redesign core support services –(HR, IT, Finance, student services, academic support services, plant operations) Optimize non-core services and other operations –(research, public services, auxiliary enterprises)

26. Six Characteristics of Instruction Redesign that Improve Completion and Reduces Costs Whole Course Redesign Target whole course not a single class Analyze time spent on each activity in course by person Active Learning Move course from teacher led to active and learner-centered Note taking replaced by active learning exercises Computer-based Learning Web-based tutorials and exercises and low-stakes quizzes frequent practice and feedback Mastery Learning Greater flexibility for when students can engage with a course, not self-paced Organized by the need to master specific learning objectives, modular On-Demand Help Variety of different supports build sense of learning community Projects replace lectures w/ small group activities (tech supported, staffed assisted) Alternative Staffing Apply right level of human intervention to particular problems Task specific labor: faculty v. GTA, Peer mentors, Course assistant

27. IT Infrastructure for Big Data Source: Action Analytics, EDUCAUSE REVIEW,January/February 2008, Authors: Donald Norris, Linda Baer, Joan Leonard, Louis Pugliese, and Paul Lefrere

28. Public Policies for Big Data 1.Create guidelines for how data generated through these technology tools should be treated in order to promote student privacy while allowing for the data to be shared in a social environment. 2.Review the data it currently collects to find areas where the information might supplement the emerging user-generated data in ways that help students make better choices. 3.Fund the development or spread of emerging “personalization” tools through competitive grants. A special focus could be placed on institutions that serve low-income students and students of color.

29. THANK YOU! QUESTIONS?? DISCUSSION