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Automating Data Collection and Reporting to Promote Faculty Engagement in Assessment

Learn how our land-grant university in Manhattan, KS, automated data collection and reporting for faculty engagement in assessment. Our project goals include automating data visualization, providing customized reports, and improving workflow efficiency. Visit www.ksu.edu/assessment for a demo of our direct assessment sample reports and to explore lessons learned.

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Automating Data Collection and Reporting to Promote Faculty Engagement in Assessment

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  1. Automating Data Collection and Reporting to Promote Faculty Engagement in Assessment Frederick Burrack – Director Chris Urban – Assistant Director

  2. Institutional Context • First fully operational land-grant • Located in Manhattan, KS • Public research university • 4 Campuses, 9 Colleges • Over 200 undergraduate & 100 graduate programs • 24,000+ students • Institutional Assessment Office: 2 FTE and 2 undergraduate students

  3. Institutional Context: Outcomes Alignment • Degree Completion Achievement: • Exceeds Program Expectation (Advanced) • Meets Program Expectations (Proficient) • Meets Minimum Program Expectations (Developing) • Does Not Meet Program Expectations (Unacceptable) Outcome Outcome Outcome Outcome Outcome Outcome Outcome Outcome Outcome

  4. Institutional Context: Reporting and Feedback Process

  5. Project Goals • Automate data collection and visualization • User-specified breakdowns • Customized reports for each program • All assessment data available in one place • Use tools already available Workload Impact

  6. LMS Setup and Overall Workflow Set Up Program Outcomes Program Reporting SLO 3 SLO 2 SLO 1 Program Level Course Level Import & Align Outcomes Assess Outcomes SLO 3 SLO 2 SLO 1

  7. Faculty Workflow Faculty Student

  8. Demo Find more info at www.ksu.edu/assessment

  9. Institutional Role Data at the student-level enables enhanced analysis. Does not have to be from the LMS. Demographics • Gender • Transfer • Online • Etc. Survey results Other • Retention • Graduation • GPA • Etc.

  10. Combining Assessment Data • Survey Results • Embedded Results • Feedback Documents Combined, interactive dashboards and reports • Data Warehouse • Demographics • Other outcomes

  11. Direct Assessment Sample Report

  12. Demo Find more info at www.ksu.edu/assessment

  13. Lessons Learned • Modern visualization tools can work with a variety of data sources, allowing more program processes to be integrated • Assessment data via spreadsheets, form/survey reporting, etc. • Adapt tools to meet programmatic needs • Presenting examples helps programs recognize value • This process may not be appropriate for all programs

  14. Questions? Find more at: www.ksu.edu/assessment Frederick Burrack – Director fburrack@ksu.edu Chris Urban – Assistant Director chrisu@ksu.edu

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