This study looks at how higher education faculty are regulating use of artificial intelligence in their classes, and how they are using it in their courses. The study helps its readers to answer questions such as: how important do you feel it is for students to be conversant in artificial intelligence applications? How clearly have college faculty defined the terms of AI use by students in their classes? How compliant are students with these terms? What role should AI play in education in one’s field? Should and, if so, how should subject curriculums be adjusted to account for use of AI?
Data is based on a survey of 660 higher education faculty broken out by numerous personal and institutional variables enabling readers to pinpoint differences in attitudes and policies towards AI by variables such as gender, ethnicity, academic field, academic title, college type, college size and many other characteristics.
Just a few of this 86-page report’s many findings are that:
- Faculty at private colleges were more likely than those at public ones to view student facility with artificial intelligence as extremely important.
- More than 36% of faculty felt that rules for students for use of AI in the classroom were not very clear or not clear at all.
- More than half of instructors in communications and journalism felt that their students were cheating or otherwise use AI in deceptive ways in their classes.
- Faculty in English, Philosophy and Psychology were the most likely to have used applications to detect deceptive AI Use by students. More than 60% of English faculty had ever used such applications.
Table of Contents
INSTITUTIONAL AFFILIATIONS OF THE SURVEY PARTICIPANTS
SUMMARY OF MAIN FINDINGS
SECTION 1: Importance of AI Fluency for Students Summary of Survey Results
SECTION 2: Clarity of Rules on Student AI Use, Summary of Survey Results
SECTION 3: Estimated Student AI Cheating, Summary of Survey Results
SECTION 4: Open Ended Question Summary Of Findings On How Instructors Set Parameters And Boundaries On AI Use, Summary of Responses
SECTION 5: Faculty Use of AI to Detect Student AI Use, Summary of Survey Results
SECTION 6: Attitudes Toward AI in the Curriculum, Summary of Survey Results
Table 1.1 How important do you believe it is for your students to be conversant in the use of artificial intelligence application?
Table 1.2 How important do you believe it is for your students to be conversant in the use of artificial intelligence application? Broken out by enrollment
Table 1.3 How important do you believe it is for your students to be conversant in the use of artificial intelligence application? Broken out by type of college or Carnegie Class
Table 1.4 How important do you believe it is for your students to be conversant in the use of artificial intelligence application? Broken out by public or private college
Table 1.5 How important do you believe it is for your students to be conversant in the use of artificial intelligence application? Broken out by age of respondent
Table 1.6 How important do you believe it is for your students to be conversant in the use of artificial intelligence application? Broken out by political views
Table 1.7 How important do you believe it is for your students to be conversant in the use of artificial intelligence application? Broken out by annual personal income
Table 1.8 How important do you believe it is for your students to be conversant in the use of artificial intelligence application? Broken out by tenure track
Table 1.9 How important do you believe it is for your students to be conversant in the use of artificial intelligence application? Broken out by gender of respondent
Table 1.10 How important do you believe it is for your students to be conversant in the use of artificial intelligence application? Broken out by race or ethnicity
Table 1.11 How important do you believe it is for your students to be conversant in the use of artificial intelligence application? Broken out by academic field
Table 1.12 How important do you believe it is for your students to be conversant in the use of artificial intelligence application? Broken out by years at present institution
Table 2.1 In your view how clearly defined are the rules on how students should be able to use artificial intelligence applications in your classes?
Table 2.2 In your view how clearly defined are the rules on how students should be able to use artificial intelligence applications in your classes? Broken out by enrollment
Table 2.3 In your view how clearly defined are the rules on how students should be able to use artificial intelligence applications in your classes? Broken out by type of college or Carnegie Class
Table 2.4 In your view how clearly defined are the rules on how students should be able to use artificial intelligence applications in your classes? Broken out by public or private college
Table 2.5 In your view how clearly defined are the rules on how students should be able to use artificial intelligence applications in your classes? Broken out by age of respondent
Table 2.6 In your view how clearly defined are the rules on how students should be able to use artificial intelligence applications in your classes? Broken out by political views
Table 2.7 In your view how clearly defined are the rules on how students should be able to use artificial intelligence applications in your classes? Broken out by annual personal income
Table 2.8 In your view how clearly defined are the rules on how students should be able to use artificial intelligence applications in your classes? Broken out by tenure track
Table 2.9 In your view how clearly defined are the rules on how students should be able to use artificial intelligence applications in your classes? Broken out by gender of respondent
Table 2.10 In your view how clearly defined are the rules on how students should be able to use artificial intelligence applications in your classes? Broken out by race or ethnicity
Table 2.11 In your view how clearly defined are the rules on how students should be able to use artificial intelligence applications in your classes? Broken out by academic field
Table 2.12 In your view how clearly defined are the rules on how students should be able to use artificial intelligence applications in your classes? Broken out by years at present institution
Briefly describe the parameters you set for student use of AI in your classes
Table 3.1 In any given semester, about what percentage of your students do you believe cheat or in some way try to attain an unfair or unattributed advantage through undisclosed use of AI?
Table 3.2 In any given semester, about what percentage of your students do you believe cheat or in some way try to attain an unfair or unattributed advantage through undisclosed use of AI? Broken out by enrollment
Table 3.3 In any given semester, about what percentage of your students do you believe cheat or in some way try to attain an unfair or unattributed advantage through undisclosed use of AI? Broken out by type of college or Carnegie Class
Table 3.4 In any given semester, about what percentage of your students do you believe cheat or in some way try to attain an unfair or unattributed advantage through undisclosed use of AI? Broken out by public or private college
Table 3.5 In any given semester, about what percentage of your students do you believe cheat or in some way try to attain an unfair or unattributed advantage through undisclosed use of AI? Broken out by age of respondent
Table 3.6 In any given semester, about what percentage of your students do you believe cheat or in some way try to attain an unfair or unattributed advantage through undisclosed use of AI? Broken out by political views
Table 3.7 In any given semester, about what percentage of your students do you believe cheat or in some way try to attain an unfair or unattributed advantage through undisclosed use of AI? Broken out by annual personal income
Table 3.8 In any given semester, about what percentage of your students do you believe cheat or in some way try to attain an unfair or unattributed advantage through undisclosed use of AI? Broken out by tenure track
Table 3.9 In any given semester, about what percentage of your students do you believe cheat or in some way try to attain an unfair or unattributed advantage through undisclosed use of AI? Broken out by gender of respondent
Table 3.10 In any given semester, about what percentage of your students do you believe cheat or in some way try to attain an unfair or unattributed advantage through undisclosed use of AI? Broken out by race or ethnicity
Table 3.11 In any given semester, about what percentage of your students do you believe cheat or in some way try to attain an unfair or unattributed advantage through undisclosed use of AI? Broken out by academic field
Table 3.12 In any given semester, about what percentage of your students do you believe cheat or in some way try to attain an unfair or unattributed advantage through undisclosed use of AI? Broken out by years at present institution
Table 5.1 Have you ever used AI itself, or an application designed to detect AI use, to assess the use of AI in papers or other work done by your students?
Table 5.2 Have you ever used AI itself, or an application designed to detect AI use, to assess the use of AI in papers or other work done by your students? Broken out by enrollment
Table 5.3 Have you ever used AI itself, or an application designed to detect AI use, to assess the use of AI in papers or other work done by your students? Broken out by type of college or Carnegie Class
Table 5.4 Have you ever used AI itself, or an application designed to detect AI use, to assess the use of AI in papers or other work done by your students? Broken out by public or private college
Table 5.5 Have you ever used AI itself, or an application designed to detect AI use, to assess the use of AI in papers or other work done by your students? Broken out by age of respondent
Table 5.6 Have you ever used AI itself, or an application designed to detect AI use, to assess the use of AI in papers or other work done by your students? Broken out by political views
Table 5.7 Have you ever used AI itself, or an application designed to detect AI use, to assess the use of AI in papers or other work done by your students? Broken out by annual personal income
Table 5.8 Have you ever used AI itself, or an application designed to detect AI use, to assess the use of AI in papers or other work done by your students? Broken out by tenure track
Table 5.9 Have you ever used AI itself, or an application designed to detect AI use, to assess the use of AI in papers or other work done by your students? Broken out by gender of respondent
Table 5.10 Have you ever used AI itself, or an application designed to detect AI use, to assess the use of AI in papers or other work done by your students? Broken out by race or ethnicity
Table 5.11 Have you ever used AI itself, or an application designed to detect AI use, to assess the use of AI in papers or other work done by your students? Broken out by academic field
Table 5.12 Have you ever used AI itself, or an application designed to detect AI use, to assess the use of AI in papers or other work done by your students? Broken out by years at present institution
Table 6.1 Which phrase best summarizes your personal attitude towards how (or if) AI applications should be incorporated into the curriculum in your field?
Table 6.2 Which phrase best summarizes your personal attitude towards how (or if) AI applications should be incorporated into the curriculum in your field? Broken out by enrollment
Table 6.3 Which phrase best summarizes your personal attitude towards how (or if) AI applications should be incorporated into the curriculum in your field? Broken out by type of college or Carnegie Class
Table 6.4 Which phrase best summarizes your personal attitude towards how (or if) AI applications should be incorporated into the curriculum in your field? Broken out by public or private college
Table 6.5 Which phrase best summarizes your personal attitude towards how (or if) AI applications should be incorporated into the curriculum in your field? Broken out by age of respondent
Table 6.6 Which phrase best summarizes your personal attitude towards how (or if) AI applications should be incorporated into the curriculum in your field? Broken out by political views
Table 6.7 Which phrase best summarizes your personal attitude towards how (or if) AI applications should be incorporated into the curriculum in your field? Broken out by annual personal income
Table 6.8 Which phrase best summarizes your personal attitude towards how (or if) AI applications should be incorporated into the curriculum in your field? Broken out by tenure track
Table 6.9 Which phrase best summarizes your personal attitude towards how (or if) AI applications should be incorporated into the curriculum in your field? Broken out by gender of respondent
Table 6.10 Which phrase best summarizes your personal attitude towards how (or if) AI applications should be incorporated into the curriculum in your field? Broken out by race or ethnicity
Table 6.11 Which phrase best summarizes your personal attitude towards how (or if) AI applications should be incorporated into the curriculum in your field? Broken out by academic field
Table 6.12 Which phrase best summarizes your personal attitude towards how (or if) AI applications should be incorporated into the curriculum in your field? Broken out by years at present institution
A. Name:
B. Institution
C. Title (associate, professor, instructor, etc.)
D. Academic Field
E. Email Address:
2. Which Carnegie Class description best fits your college?
A. Community College
B. BA-Granting Institution
C. Specialized College (i.e. performing arts, seminary, etc.)
D. MA-PHD Granting College
E. Level 1 or Level 2 Research University
3. Your college is:
A. Public
B. Private
4. What is the approximate full time equivalent enrollment of your college?
5. Which age band best describes you?
A. 30 or Under
B. 31-39
C. 40-49
D. 50-59
E. 60 or over
6. Which phrase best describes your political views?
A. Left of Liberal
B. Liberal
C. Middle of the Road
D. Conservative
E. Right of Conservative
7. Which phrase best describes your annual personal income from all sources? (do not include income from spouse or other life partner)
A. Less than $50,0
B. $50,000 to $75,000
C. $75,000+ to $100,000
D. $100,000 to $150,000
E. More than $150,000
8. You are:
A. Tenured
B. Not tenured but on a tenure track
C. Not tenured and not on a tenure track
9. Which phrase best describes your gender?
A. Female
B. Male
C. Transgender
10. Which phrase best describes your race or ethnicity?
A. White or Caucasian
B. Black or African American
C. Hispanic or Latino
D. Asian or Asian American Indigenous
E. Mixed Race
11. Your academic field is best described by which of the following designations
A. Social Sciences (except economics and psychology)
B. Economics/Finance
C. Business (other than economics/finance)
D. Performing Arts
E. Psychology & Social Work
F. Medicine
G. Law
H. Mathematics/Statistics/Computer Science
I. Hard Sciences (Chemistry, Biology, Physics)
J. Education or Library Science
K. Allied Health: Nursing, Occupation or Physical Therapy, Nutrition, etc. Earth and Environmental Sciences
L. Architecture, Fine and Visual Arts History
M. English, Literature & Languages
N. Other (please specify)
12. For how many years have you worked at your present institution?
A. 1 year or less
B. 1+ years to 3 years
C. 3+ years to 5 years
D. 5+ years to 10 years
E. 10+ years to 20 years
F. More than 20 years
13. How important do you believe it is for your students to be conversant in the use of artificial intelligence application?
A. Extremely important
B. Very important
C. Somewhat important
D. Not so important
E. Not at all important
14. In your view how clearly defined are the rules on how students should be able to use artificial intelligence applications in your classes?
A. Extremely clear
B. Very clear
C. Somewhat clear
D. Not so clear
E. Not at all clear
15. Briefly describe the parameters you set for student use of AI in your classes 46. In any given semester, about what percentage of your students do you believe cheat or in some way try to attain an unfair or unattributed advantage through undisclosed use of AI?
16. Have you ever used AI itself, or an application designed to detect AI use, to assess the use of AI in papers or other work done by your students?
A. Yes
B. No
17. Which phrase best summarizes your personal attitude towards how (or if) AI applications should be incorporated into the curriculum in your field?
A. As much as possible, ban use of AI
B. Limit AI use and insist of very clear attribution when AI is used
C. Encourage AI use and insist of very clear attribution when AI is used
D. Rework the curriculum to take into account the overwhelming power of AI with an emphasis on adding value to AI
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