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Session Title: Using Business Frameworks to Evaluate Program Impact on Student Learning
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Panel Session 335 to be held in TRAVIS A on Thursday, Nov 11, 3:35 PM to 4:20 PM
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Sponsored by the Assessment in Higher Education TIG
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| Chair(s): |
| Norena Norton Badway, San Francisco State University, nbadway@sfsu.edu
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| Abstract:
Because federal and state grants increasingly require evidence that student learning outcomes have improved, evaluators are sometimes challenged to match data collection and analysis methods with grantor requirements. In the case of National Science Foundation Advanced Technological Education grants, student populations are too small and targeted to allow for randomized trials. In such cases, evaluators rely on ex post facto research, and often need to create baseline data after intervention has been implemented. In this study, researchers used Kirkpatrick’s model of measuring faculty satisfaction with professional development, as well as faculty learning, changes in instructional behavior, and changes in students’ learning. This session will present the attributes as well as constraints in applying the Kirkpatrick model to evaluating the value of ATE funded professional development.
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Using Business Frameworks to Evaluate Program Impact on Student Learning
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| Norena Norton Badway, San Francisco State University, nbadway@sfsu.edu
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Because federal and state grants increasingly require evidence that student learning outcomes have improved, evaluators are sometimes challenged to match data collection and analysis methods with grantor requirements. In the case of National Science Foundation Advanced Technological Education grants, student populations are too small and targeted to allow for randomized trials. In such cases, evaluators rely on ex post facto research, and often need to create baseline data after intervention has been implemented. In this study, researchers used Kirkpatrick’s model of measuring faculty satisfaction with professional development, as well as faculty learning, changes in instructional behavior, and changes in students’ learning. This session will present the attributes as well as constraints in applying the Kirkpatrick model to evaluating the value of ATE funded professional development.
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Challenges in Data Collection Using Kirkpatrick's Model
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| Rachel Rich, University of the Pacific, rachel.l.rich@gmail.com
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Rachel Rich is a doctoral candidate at the University of the Pacific, specializing in measuring impact of distance education as a form of professional development for faculty. She has worked with Norena Norton Badway, Ph.D., in designing and conducting this analysis using a business/ corporate model for measuring the success of training. Dr. Badway holds NSF grants to research the ATE program and conducts small and large ATE evaluations.
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