The Numbers
Often, students ask us about "The Numbers" associated with their academic misconduct process:
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"What are the chances that I am found not responsible?"
"How many appeals are approved?"
"When will I know the result of my case?"
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​While each case presents a unique situation, this section hopefully answers these numerical-related concerns with data compiled from the most recent semester of cases. ​​
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The following statistics apply to the 2024-2025 Academic Year. At the time of collecting this data, four cases remained pending, which affects the calculation of percentage totals.
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Image from University of Michigan Law School
302
Total Cases
34.11%
of cases centered on Cheating
46.83%
of accused students admitted responsibility for misconduct
46.03%
of accused found responsible
91.23%
41.72%
of cases used SAA Resolution
20.86%
of cases centered on Falsifying Attendance
4.76%
of accused found not responsible
of sanctions involved 1 year of probation + essay
28.15%
of cases from Natural Sciences
8
Appeals submitted
20.86%
of cases from Humanities
7
Appeals denied
58.28%
of cases used Instructor-led Resolution
31.13%
of cases centered on
AI-assisted writing
50.00%
of accused students denied responsibility for misconduct
46.03%
received a formal warning
8.77%
of sanctions involved suspension
35.10%
of cases from Social Sciences
1
Appeal moved to AJC
23.02%
of cases had a LSA Honor Council member present
Demographic Information
In addition to these statistics, we conducted our own research to identify trends in academic misconduct cases. This research gathered demographic information from students accused of academic misconduct as well as general information using a Google Form. These individuals participated anonymously and voluntarily. Information about race, gender, socioeconomic status, and previous academic experience were collected.
Other details such as assignment type and class characteristics were also obtained. This information was obtained through collaboration with the Office of Student Academic Affairs. ​
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