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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.

Sample questions

A preview of what’s in the template. Every question is editable before you launch.

29 questions · ~4 min
Q01
Long Text

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.

Q02
Multiple Choice

Which of the following best describes your current primary role?

Q03
Multiple Choice

Which of the following types of student assessment do you currently use in your courses? (Select all that apply)

Q04
Long Text

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.

Q05
Long Text

How open would you be to using AI-assisted tools as part of your grading and assessment process?

Q06
Long Text

How concerned are you that AI-assisted grading tools could introduce or perpetuate biases in student assessment?

Q07
Long Text

How concerned are you about student data privacy when student work is processed by AI-assisted grading systems?

Q08
Long Text

How prepared do you currently feel to use AI-assisted grading tools effectively?

Q09
Long Text

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.

Q10
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?

Q11
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.

Q12
Long Text

What is your primary academic discipline or field?

Q13
Long Text

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.

Q14
Multiple Choice

Which of the following activities are part of your current responsibilities? (Select all that apply)

Q15
Multiple Choice

During a typical teaching week, approximately how many hours do you spend grading and providing feedback on student work?

Q16
Long Text

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?

Q17
Long Text

How concerned are you about the accuracy of grades or feedback produced by AI-assisted tools?

Q18
Long Text

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)

Q19
Multiple Choice

If training on AI-assisted grading tools were offered, which formats would you prefer? (Select all that apply)

Q20
Long Text

Based on the description above, how willing would you be to participate in a controlled experiment evaluating AI-assisted grading tools?

Q21
Multiple Choice

How many years of college or university teaching experience do you have?

Q22
Long Text

How often do you use standardized rubrics when grading student work?

Q23
Multiple Choice

For which of the following assessment types would you consider using AI-assisted grading? (Select all that apply)

Q24
Long Text

How concerned are you that AI-assisted grading could reduce the personal connection between faculty and students in the feedback process?

Q25
Multiple Choice

How many hours of training would you be willing to invest to learn to use an AI-assisted grading tool effectively?

Q26
Multiple Choice

What would be your primary reason for participating or not participating in such an experiment?

Q27
Multiple Choice

Which best describes your institution?

Q28
Long Text

Overall, how satisfied are you with your current grading and assessment process?

Q29
Multiple Choice

What is the typical enrollment size of the courses you teach?

What’s included

  • AI follow-ups

    Adaptive probes on open-ended answers that pull out detail a static form would miss.

  • Attention checks

    Built-in safeguards against rushed answers and low-quality respondents.

  • AI-drafted copy

    Wording, ordering, and branching written by the AI — tuned to your research goal.

  • Auto report

    Themes, quotes, and a plain-English summary write themselves once responses come in.

Ready to launch?

Open this template in the editor. Every part is yours to change before the first respondent sees it.