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Assessment: Measuring the Impact of our Programs on Students

Assessment: Measuring the Impact of our Programs on Students. Cathy Manduca and Ellen Iverson SERC at Carleton College. Why Assess?. “I don’t know what we are doing right” “We only have 120 hours”. Performance Evaluation. Does the program address an important challenge?

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Assessment: Measuring the Impact of our Programs on Students

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  1. Assessment: Measuring the Impact of our Programs on Students Cathy Manduca and Ellen Iverson SERC at Carleton College

  2. Why Assess? • “I don’t know what we are doing right” • “We only have 120 hours”

  3. Performance Evaluation • Does the program address an important challenge? • What is the quality of the implementation? • What is the utility--are participants using it? • Is it being used in different situations? • Is it being shared by participants? John McLaughlin

  4. Why Assess? • “I don’t know what we are doing right” • “We only have 120 hours” • “We will lose majors if we do X” • “Change is accomplished one funeral at a time” • “That would really help me with the dean” • “It must work because other institutions are doing it.”

  5. Adoption of a Practice • What results does it yield? • How do you do it? • Where is it flexible? • How much does it cost? • What aspects of context influence use? John McLaughlin

  6. Powers of Observation Applied to Complex Systems

  7. Experimental Design

  8. Assessment and Geoscience Research Experimental design: What do I want to know? How can I obtain this information? What do I think is going on? How can I test this idea? Analysis: Is the experimental apparatus working? Is the experiment yielding the desired information? How can I verify my results? Interpretation: How do I determine causality? Is this the only interpretation?

  9. Observing Complex Systems Why are undergraduate research experiences valuable? • What do I think is going on? • What can I observe to test my theory? • How can I quantify my observations?

  10. Geologic Strategies in Assessment • Multiple working hypotheses • Observations • Describing, classifying, coding • Inferring process and cause • Probing complex systems

  11. Understanding your model through concept maps • Articulate and map change process • Go from your assumptions to desired goal • Present plausible rationale for how program works • Analyze likelihood of success • Clarify what should be measured when, how, and by whom • Depict the links between the resources, activities, or services and desired outcomes

  12. Internship logic model example Students gain from program: Who then impact: Which impact students’: Employers perception of program Success in finding a job in geoscience at graduation Longevity at first job Knowledge Skills Attitudes Networks Resources Students participate in internship initiative Other students’ perception of program

  13. Are you implementing your model? • Is your model correct? • Is what you are mapping what you think should happen? • What are the impacts? • Are the impacts caused by your planned actions?

  14. Qualitative – self report and artifacts Open-ended survey questions Embedded assessment Artifacts such as reports or online discussion Interviews and focus groups Quantitative - counting Data sets Surveys Instruments to measure interventions Observations

  15. Why Assess? • “I don’t know what we are doing right” • “We only have 120 hours” • “We will lose majors if we do X” • “Change is accomplished one funeral at a time” • “That would really help me with the dean” • “It must work because other institutions are doing it.” What is the purpose? Who is the audience? What will make a compelling argument?

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