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Tom Hickson, Department of Geology. How would you interpret these data? N = ~60 students Not confident Confident.

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Presentation on theme: "Tom Hickson, Department of Geology. How would you interpret these data? N = ~60 students Not confident Confident."— Presentation transcript:

1 Tom Hickson, Department of Geology

2 How would you interpret these data? N = ~60 students Not confident Confident

3  Motivation  What is a Knowledge Survey?  Applications of Knowledge Surveys  Implementation Here at UST

4 Ideally, our course organization, content, and learning goals all work together to maximize student learning

5  I was looking to forge a more direct link between my course goals, organization and content  I wanted to know what my students thought they knew  I wanted a low stakes pre- and post-course assessment  I wanted something that was data-rich and fairly detailed  I wanted something easy to administer and analyze

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7  Questions that cover course content.  Organized by main content areas.  May be coded to Bloom’s Taxonomy.  Students do not answer the questions.  Students rank their ability to answer the questions on a Likert-type scale.  For my courses, between 70 and 150 questions.

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11 Source: Nuhfer & Knipp, 2003

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16 GEOL 320: Sedimentology & Stratigraphy

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21 Source: Knufer and Knipp, 2003

22  One of three assessment tools we use  188 questions that cover our entire curriculum  Administered to all graduating students on our departmental “assessment day” in the spring  Called the “Senior Exit and Knowledge Survey” (yes, the “SEKS”)

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25  Students see entire course content: no mysteries  Used as a study guide, students learn to self- assess  At completion of course, provides students with a detailed snapshot of what they have learned

26  Excel  Blackboard  A template for processing data

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30  Give the KS as a TEST, not a survey  In Blackboard, surveys are anonymous. We don’t want that  Take class time to do it  Can give it as a first homework as well.  Download the data from Blackboard back to Excel to analyze

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34  Nuhfer, E. and Knipp, D., 2003, The Knowledge Survey: A Tool for All Reasons, To Improve the Academy, v. 21, pp. 59 78. Nuhfer, E. and Knipp, D., 2003, The Knowledge Survey: A Tool for All Reasons, To Improve the Academy, v. 21, pp. 59 78.  Science Education Resource Center (SERC) Science Education Resource Center (SERC)  Perkins, D. and Wirth, K., Knowledge Surveys: Applications and Results Perkins, D. and Wirth, K., Knowledge Surveys: Applications and Results


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