Lessons and Implications. Andrew K. Koch, Ph.D. Executive Vice President

Transcription

1 Lessons and Implications Andrew K. Koch, Ph.D. Executive Vice President

2 Overview Context About the Gardner Institute 6 Lessons Learned from Our Work

3 ABOUT THE GARDNER INSTITUTE

4 About the Gardner Institute Mission

5 About the Gardner Institute Scholarship 5

6 About the Gardner Institute Signature Processes Foundations of Excellence Gateways to Completion Retention Performance Management 6

7 Cohort Institutions

8 LESSONS LEARNED FROM OUR WORK

9 Father Guido Sarducci

10 Father Guido Sarducci The Five Minute University

11 LESSONS LEARNED

12 LESSONS LEARNED The Ten Minute Drewniversity

13 LESSONS LEARNED The Ten Minute Drewniversity 1. There Are NO Magic Pills 2. You Need a Plan 3. You Have to Implement the Plan at Scale & to a High Degree 4. The First Year Still Matters 5. Gateway Courses Barriers or Catalysts to Completion 6. Analytics Is / Are NOT a Magic Pill

14 Lesson # 1: NO Magic Pills!

15 Lesson # 2: You Need a Plan The whole is greater than the sum of its parts.

16 Lesson # 3: You Must Implement the Plan to a High Degree

17 Retention

18 Lesson # 4: The First Year Still Matters We pretty much have the first year figured out...

19 National Context Demographics National Retention & Persistence

20 Lesson # 5: Gateway Courses Barriers or Catalysts to Learning and Completion?

21 Column A. Course Column B. Number of Institutions Working on Course Column C. Average DFWI Rate for All Students Accounting % Biology % Chemistry % English College Level % History % Math College Level % Math Developmental % Psychology %

22 Column A. Course Column B. Number of Institutions Working on Course Column C. Average DFWI Rate for All Students Accounting % Biology % Chemistry % English College Level % History % Math College Level % Math Developmental % Psychology %

23 Race Matters And So Do Income and First Generation Status

24 Column A. Course Column B. Number of Institutions Working on Course Column C. Average DFWI Rate for All Students Accounting % Biology % Chemistry % English College Level % History % Math College Level % Math Developmental % Psychology %

25 Column A. Column B. Column C. Course Subpopulation Average DFWI Rate for Subpopulation Accounting African American 62.0% Hispanic / Latino 69.5% First Generation 48.2%

26 Gateway Course Success is a DIRECT predictor of retention...

27 Column A. Course Examples from Individual G2C Institutions Column B. Average DFWI Rate Column C. DFWI Rate for Non Retained Eligibleto Return Students* Column D. DFWI Rate for Academic Dismissal Students Principles of Accounting I 54.0% 81.6% 100% Foundation for Physiology / Biology 18.9% 55.0% 92.9% General Chemistry 36.3% 73.9% 82.4% Writing and Rhetoric I 10.6% 25.8% 61.4% Survey of American History 26.8% 67.2% 100% College Algebra 59.7% 73.5% 89.6% Beginning Algebra 24.4% 65.1% 100% (Introduction to Psychology 28.1% 46.1% 83.7% Mean of Average DFWI Rates for Examples 32.4% 61.0% 88.8% * These students left voluntarily. In other words, their lack of retention was not due to formal academic dismissal.

28 Column A. Course Examples from Individual G2C Institutions Column B. Average DFWI Rate Column C. DFWI Rate for Non Retained Eligibleto Return Students* Column D. DFWI Rate for Academic Dismissal Students Principles of Accounting I 54.0% 81.6% 100% Foundation for Physiology / Biology 18.9% 55.0% 92.9% General Chemistry 36.3% 73.9% 82.4% Writing and Rhetoric I 10.6% 25.8% 61.4% Survey of American History 26.8% 67.2% 100% College Algebra 59.7% 73.5% 89.6% Beginning Algebra 24.4% 65.1% 100% (Introduction to Psychology 28.1% 46.1% 83.7% Mean of Average DFWI Rates for Examples 32.4% 61.0% 88.8% * These students left voluntarily. In other words, their lack of retention was not due to formal academic dismissal.

29 Lesson # 6: Analytics

30 WTF? Analytics

31 Analytics WTF? (What s The Focus?)

32 Historic Data Analytics Guides Course Re Conceptualization Discussions Predictive Learning Analytics Guides Monitoring and Intervention Based on Prior Work at Purdue University (Signals)

33 Historic Data Analytics Gateway Course Analytics Inventory (GCAI)

34 Dashboards / Predictive Analytics

35 Dashboards / Predictive Analytics

36 Institutional Challenge Data in many places, owned by many people/organizations Different processes, procedures, and regulations depending on data owner Everyone can see potential, but all want something slightly different

37 Institutional Challenge Sustainability can t you just Faculty participation is essential To change outcomes, you have to actually change what you do that leads to those outcomes... Ergo analytics must take many forms if you have many foci...

38 Re Cap 1. There Are NO Magic Pills 2. You Need a Plan 3. You Have to Implement the Plan at Scale & to a High Degree 4. The First Year Still Matters 5. Gateway Courses Barriers or Catalysts to Completion 6. Analytics Is / Are NOT a Magic Pill

39 Contact Andrew K. Koch, PhD Executive Vice President jngi.org