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TAIR 2009 – Lubbock Michael Taft and Paul Illich Using Data to Improve Developmental Education
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About ZogoTech Typical Dev Ed Questions Case Studies Southwest Texas Junior College University of the Incarnate Word McLennan Community College Questions www.zogotech.com/tair Outline
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Success rates? Duration? By course, faculty, cohort, high school, placement score Who is developmental? Gatekeeper courses? Post-gatekeeper success Probability? Time-to-degree / transfer? Intervention? Typical Dev Ed Questions
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Datatel Colleague Community College Achieving the Dream, Title V 5,000 Students / semester #1 Case study Southwest Texas Junior College
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Course completion Gatekeeper analysis Who is developmental? % students in each remedial level % movement Data Needs
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Interactive Filter by Ethnicity, Gender, etc. Longitudinal cohort comparisons Above: Course Success by division. Drill down to see by department, subject, course number. Note that success rate in freshman MATH classes (Level 1) increases steadily by course number except for a drop in MATH 1332. (The brave can also drill down by faculty) Demo: Drill-down
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Student group: Students who completed last developmental math class in 2003FA. Purple line shows when those students completed college level algebra Gatekeeper Completion
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Above: Southwest Texas Junior College, an AtD school, used Completion Point Reporting to show the correlation between suspected gatekeeper classes and graduation. Within 4 terms of completing College Level math (in green) 30% of students have graduated (almost double that of the reading and writing gatekeepers!) Gatekeeper Analysis
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Getting students to complete MATH 1314 faster leads to lower time-to-degree Conclusion
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Challenges Challenges Students often don’t take placement tests Only take it at admissions time Students take classes out of order Who is Developmental?
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Above: Shows which level of Math students started in on left (FTIC Math Level) versus where they are now on top (Latest Math Level) Dev Ed Progression
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SCT Banner Private University 8,000 Students / year Objective: Interventions #2 Case study University of the Incarnate Word
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Ad-hoc queries Who is at-risk? Action / Intervention Data silos Many intervention programs Dispersed data Assessment? Challenges
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Critical Steps in Implementing Estudias or Another Data Warehouse Solution Importance of using a database administrator Can focus on maintaining integrity of warehouse, programming, and meeting the needs of different users Identifying Users Real-time application users such as instructional administrators, administrative support staff, public relations personnel, student services personnel, etc. Institutional researchers Need to be able to conduct a wide range of post-hoc analyses to support short-term and long-term decision making
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Creating a program review environment Enrollment/scheduling Student performance (GPA, course completion, attrition, etc.) % faculty teaching full-time and part-time Student demographics Supporting Instructional Administrators
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Program Review Data
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Reasons for Internet course attrition Daily enrollment reports Effectiveness of developmental education courses Enrollment forecasting Profit/loss analyses Longitudinal studies Supporting Institutional Research
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Example Study: Internet Attrition
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Example Study: Profit/loss without State Appropriations
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Michael Taft toll-free: (888) 221-6372 x801 dallas: (214) 774-4780 x801 email: mtaft@zogotech.commtaft@zogotech.com www.zogotech.com/tair Questions and Answers
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