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Location:
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HC 3027 |
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Date:
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Wednesday, Aug.3 |
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Time:
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1:30 PM -2:00 PM
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Author:
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Wolfgang Bauer, Michigan State University
517-353-8662, bauer@pa.msu.edu
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Co-Author(s):
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None
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Abstract:
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While sophisticated course management systems and homework engines like LON-CAPA can prevent simple student-to-student copying of answers and cheating a la Cramster, dedicated groups of students will still be able to reverse-engineer most homework problems. We analyze one such case and show that cheating on homework has a quantifiable negative impact on exam performance. We also present a new approach of correlating weekly homework with weekly exams. First indications are that this approach curtails cheating on homework, and that it leads to greater student satisfaction with the course and with the exam framework.
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Footnotes:
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Research supported by the US National Science Foundation.
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