Survey of Higher Education Faculty Use of AI in the Classroom
This study looks at how faculty are using artificial intelligence applications in teaching, and how students are using them in class and homework. The report helps its readers to answer questions such as: How much of a problem is AI driven plagiarism? How common is it and what for which types of instructors does it pose the greatest difficulties? What percentage of, and what kind of college faculty encourage the use of AI? If so, how do they integrate its use into their courses? What percentage of faculty feel that their institutions have given them clear guidance or guidelines on AI use in teaching and learning?
Data in the report was derived from a survey drawing 339 responses from faculty from 100 colleges and universities in the USA; it was conducted from November 2023 to February 2024.
Just a few of this 42-page report’s many findings are that:
About 26.5% of faculty felt that Ai driven plagiarism among students was either generally not pervasive or not at all pervasive.
Male faculty were more likely than female faculty to promote AI use among their students.
Use of AI in the classroom was much higher among untenured faculty on a tenure track than among tenured faculty.
Data is broken out by variables related to the institutional affiliation of the survey participants (enrollment size, public/private status/ as well as personal characteristics such as age, gender and academic field.
- Table 1.1 Has your university/college department or central administration
- developed guidelines for student use of artificial intelligence?
- Table 1.2 Has your university/college department or central administration
- developed guidelines for student use of artificial intelligence? Broken out by
- enrollment
- Table 1.3 Has your university/college department or central administration
- developed guidelines for student use of artificial intelligence? Broken out by type of
- college or Carnegie Class
- Table 1.4 Has your university/college department or central administration
- developed guidelines for student use of artificial intelligence? Broken out by public or
- private college
- Table 1.5 Has your university/college department or central administration
- developed guidelines for student use of artificial intelligence? Broken out by age of
- respondent
- Table 1.6 Has your university/college department or central administration
- developed guidelines for student use of artificial intelligence? Broken out by political
- views
- Table 1.7 Has your university/college department or central administration
- developed guidelines for student use of artificial intelligence? Broken out by tenure
- status
- Table 1.8 Has your university/college department or central administration
- developed guidelines for student use of artificial intelligence? Broken out by gender of
- respondent
- Table 1.9 Has your university/college department or central administration
- developed guidelines for student use of artificial intelligence? Broken out by race or
- ethnicity
- Table 1.10 Has your university/college department or central administration
- developed guidelines for student use of artificial intelligence? Broken out by academic
- field
- Table 1.11 Has your university/college department or central administration
- developed guidelines for student use of artificial intelligence? Broken out by years at
- present institution
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