Faculty Perspectives on AI in Grading & Assessment
An academic research survey exploring faculty attitudes, concerns, and readiness regarding AI-assisted grading and assessment tools. Covers current practices, openness to adoption, concerns about bias/accuracy/privacy, training needs, and willingness to participate in controlled experiments.
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Sample Survey Items
Q1
Chat Message
Thank you for your interest in this research study on faculty experiences with grading and assessment.
This survey is conducted for academic research purposes. Your participation is entirely voluntary, and you may stop at any time without consequence. There are no right or wrong answers — we are interested in your honest opinions and experiences.
Your responses will be kept confidential, stored securely, and reported only in aggregate. No identifying information will be linked to your individual answers. Results will be used for academic research purposes only.
Estimated completion time: 12–15 minutes.
By proceeding, you indicate that you have read this information and consent to participate.
Q2
Multiple Choice
Which of the following best describes your current primary role?
Full-time faculty (tenured or tenure-track)
Full-time faculty (non-tenure-track or contract)
Part-time or adjunct faculty
Graduate teaching assistant
Academic administrator with teaching duties
Research-only position (no teaching)
Other
Q3
Multiple Choice
Which of the following activities are part of your current responsibilities? (Select all that apply)
Designing course curricula or syllabi
Delivering lectures or leading seminars
Grading or assessing student work
Advising or mentoring students
Conducting research
Administrative or committee duties
Supervising teaching assistants
Q4
Multiple Choice
Which of the following types of student assessment do you currently use in your courses? (Select all that apply)
Essays or written assignments
Multiple-choice or short-answer exams
Research papers or term projects
Lab reports or technical assignments
Presentations or oral exams
Peer assessments
Portfolios
Discussion or participation-based assessment
Other (please specify)
Q5
Multiple Choice
During a typical teaching week, approximately how many hours do you spend grading and providing feedback on student work?
Fewer than 2 hours
2–5 hours
6–10 hours
11–15 hours
16–20 hours
More than 20 hours
Q6
Opinion Scale
How often do you use standardized rubrics when grading student work?
Range: 1 – 5
Min: NeverMid: NeutralMax: Always
Q7
Opinion Scale
Overall, how satisfied are you with your current grading and assessment process?
Range: 1 – 7
Min: Not at all satisfiedMid: NeutralMax: Extremely satisfied
Q8
Chat Message
In the next section, we will ask about your views on AI-assisted grading and assessment.
By "AI-assisted grading," we mean the use of artificial intelligence tools that can help evaluate student work — for example, automated scoring of written assignments, AI-generated feedback suggestions, or AI-flagged inconsistencies in grading. These tools are designed to assist faculty, not replace their judgment.
Please keep this description in mind as you answer the following questions.
Q9
Opinion Scale
How open would you be to using AI-assisted tools as part of your grading and assessment process?
Range: 1 – 7
Min: Not at all openMid: NeutralMax: Extremely open
Q10
Opinion Scale
How likely are you to adopt an AI-assisted grading tool within the next two years, assuming one were available and supported by your institution?
For which of the following assessment types would you consider using AI-assisted grading? (Select all that apply)
Multiple-choice or short-answer exams
Essays or written assignments
Research papers or term projects
Lab reports or technical assignments
Presentations or oral exams
Discussion or participation-based assessment
Peer assessment moderation
I would not consider using AI-assisted grading for any of these
Other (please specify)
Q12
Opinion Scale
How concerned are you that AI-assisted grading tools could introduce or perpetuate biases in student assessment?
Range: 1 – 5
Min: Not at all concernedMid: NeutralMax: Extremely concerned
Q13
Opinion Scale
How concerned are you about the accuracy of grades or feedback produced by AI-assisted tools?
Range: 1 – 5
Min: Not at all concernedMid: NeutralMax: Extremely concerned
Q14
Opinion Scale
How concerned are you that AI-assisted grading could reduce the personal connection between faculty and students in the feedback process?
Range: 1 – 5
Min: Not at all concernedMid: NeutralMax: Extremely concerned
Q15
Opinion Scale
How concerned are you about student data privacy when student work is processed by AI-assisted grading systems?
Range: 1 – 5
Min: Not at all concernedMid: NeutralMax: Extremely concerned
Q16
Ranking
Please rank the following data protection measures in order of importance to you if AI-assisted grading tools were used at your institution. (Drag to rank, most important first)
Drag to order (top = most important)
Student work is processed on-campus servers only (no cloud processing)
AI tool providers cannot retain or use student data for model training
Students are informed and consent before their work is processed by AI
Faculty retain full control over whether and how AI tools are used
Regular third-party audits of AI tool data practices
Compliance with institutional data governance policies (e.g., FERPA)
Q17
Opinion Scale
How prepared do you currently feel to use AI-assisted grading tools effectively?
Range: 1 – 5
Min: Not at all preparedMid: NeutralMax: Fully prepared
Q18
Multiple Choice
If training on AI-assisted grading tools were offered, which formats would you prefer? (Select all that apply)
In-person workshop (half-day or full-day)
Online self-paced modules
Live webinar or virtual workshop
One-on-one consultation with an instructional technologist
Peer mentoring from a colleague already using the tool
Written documentation or user guides
I would not be interested in training
Other (please specify)
Q19
Multiple Choice
How many hours of training would you be willing to invest to learn to use an AI-assisted grading tool effectively?
None — I would not invest time in training
1–2 hours
3–5 hours
6–10 hours
More than 10 hours
Q20
Chat Message
Researchers are exploring the possibility of conducting controlled experiments to evaluate AI-assisted grading tools. These experiments would involve faculty volunteers grading a set of student assignments both with and without AI assistance, then comparing outcomes such as grading consistency, time spent, and student satisfaction.
Participation would typically require 3–5 hours over a semester and would be compensated. All data would be anonymized.
Q21
Opinion Scale
Based on the description above, how willing would you be to participate in a controlled experiment evaluating AI-assisted grading tools?
Range: 1 – 7
Min: Not at all willingMid: NeutralMax: Extremely willing
Q22
Multiple Choice
What would be your primary reason for participating or not participating in such an experiment?
Curiosity about how AI tools perform in grading
Desire to contribute to evidence-based research on teaching
Interest in improving my own grading efficiency
Concern about the time commitment required
Skepticism about AI's role in assessment
Discomfort with being evaluated or observed
Privacy or ethical concerns about the research design
Other (please specify)
Q23
AI Interview
We'd like to understand your thinking about how AI-assisted grading might affect assessment integrity — the fairness, validity, and trustworthiness of how student learning is evaluated.
In your view, what are the most important considerations when thinking about whether AI tools can uphold assessment integrity?
AI InterviewLength: 3Personality: [Object Object]Mode: Fast
Reference questions: 9
Q24
Long Text
Based on your responses throughout this survey, please share any additional thoughts or feelings about the role of AI in grading and assessment that we may not have covered.
Max chars
Q25
Dropdown
What is your primary academic discipline or field?
Arts & Humanities
Biological & Life Sciences
Business & Management
Computer Science & Information Technology
Education
Engineering
Health Sciences & Medicine
Law
Mathematics & Statistics
Physical Sciences
Social Sciences
Other (please specify)
Q26
Multiple Choice
How many years of college or university teaching experience do you have?
Fewer than 3 years
3–7 years
8–15 years
16–25 years
More than 25 years
Q27
Multiple Choice
Which best describes your institution?
Research university (R1/R2 or equivalent)
Comprehensive or master's-granting university
Liberal arts college
Community or two-year college
Professional or specialized institution
Other (please specify)
Q28
Multiple Choice
What is the typical enrollment size of the courses you teach?
Fewer than 20 students
20–50 students
51–100 students
101–200 students
More than 200 students
Q29
Chat Message
Thank you for completing this survey. Your perspectives are valuable to understanding how AI tools may shape the future of academic assessment.
Your responses have been recorded and will be kept confidential. If you have any questions about this research, please contact the research team at the email provided in your invitation.
You may now close this window.
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