A Coherent Data Model for Learning Assessment

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What You'll Learn

View this recording to explore a radically new data model for learning outcomes assessment that is flexible enough for undergraduate and graduate programs as well as CTE programs like cosmetology and welding. This new model standardizes and automates the processing and presentation of assessment data, so faculty do not have to aggregate or calculate scores and can focus on interpreting and responding to the results with recommendations for continuous improvement. The model does not require standardized assessments, signature assignments, end-of-program testing, or any other externally imposed assessment instrument. The model provides both longitudinal and cross-sectional analyses. The implementation and scale-up process will be described, and recent results will be presented.

Presenters

Dr. Douglas Walcerz

Provost and VP of Academic and Student Affairs Lee College

Scott Bennett

Associate Vice President – Student Services Lee College

“We need consistent data. In ZogoTech, the enrollments, majors, and courses are all consistently available. And ANY person who goes to ZogoTech and pulls that data is going to get the same data - so we are going to get the same results.”
Dr. Douglas Walcerz
Provost, VP of Academic and Student Affairs