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Student Perception of Course Quality Survey

Captures how students genuinely experience a course or program — clarity of teaching, fairness, workload, and engagement — paired with an AI follow-up that digs into the specific moment behind their overall rating. Built for instructors, program leads, and academic affairs teams who want more than end-of-term star ratings.

Sample questions

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

13 questions · ~7 min
Q01
Message

Hi! We'd like your honest take on this course so we can make it better for future students. This should take about 5 minutes, and your responses will be kept anonymous from your instructor's grading decisions.

Q02
Multiple ChoiceRequired

Which course or class are you evaluating? (Replace with your actual course list before launching.)

  • (Course A)
  • (Course B)
  • (Course C)
  • (Course D)
Q03
Opinion ScaleRequired

Overall, how would you rate the quality of this course?

Scale: 010
Min:Very poorMax:Excellent
Q04
MatrixRequired

How much do you agree with each statement about this course?

5 rows × 5 columns
  • The instructor explained concepts clearly
  • Course materials were well organized
  • Feedback on assignments was timely and useful
  • I felt comfortable asking questions or sharing ideas
  • Grading and assessment felt fair
Columns: Strongly disagree · Disagree · Neutral · Agree · Strongly agree
Q05
Multiple ChoiceRequired

In the last month, how often did you attend office hours, ask questions in class, or reach out to the instructor?

  • Never
  • Once
  • A few times
  • Weekly or more
Q06
Rating Scale

How would you rate the pacing and workload of this course relative to what you expected?

Range: 15
Min:Much too heavyMax:Just right
Q07
RankingRequired

Rank these factors by how much they shape your overall impression of a course.

  1. Teaching clarity
  2. Workload and pacing
  3. Relevance to real skills or interests
  4. Interaction with peers
  5. Fairness of grading
Drag to rank
Q08
Opinion ScaleRequired

How likely are you to recommend this course to another student?

Scale: 010
Min:Not at all likelyMax:Extremely likely
Q09
AI Interview

Reconstruct the specific experience behind the respondent's overall rating and recommendation score: ask for a concrete moment or assignment that shaped their view, whether it was a strength or a letdown, and why. If they flagged low agreement on clarity, feedback timing, or fairness in the earlier ratings, probe that statement directly with a real example. If their rating and recommendation scores diverge noticeably, ask what's driving the gap.

Q10
Long Text

If you could change one thing about this course, what would it be?

Q11
Multiple Choice

What year or stage are you at in your studies? (Optional)

  • First year
  • Second year
  • Third year
  • Fourth year or beyond
  • Graduate student
  • Prefer not to say
Q12
Multiple Choice

What is your general field of study? (Optional — replace with your institution's departments before launching.)

  • (Field A)
  • (Field B)
  • (Field C)
  • (Field D)
  • Prefer not to say
Q13
Message

Thanks so much for sharing your perspective! Your answers will be combined with other students' responses to help improve teaching and course design — individual responses are not shared with instructors for grading purposes.

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.

How it compares

We reviewed the closest templates from other survey tools. Here’s what they do well — and where this template goes further.

Why this template

  • Pairs quantitative measures — an overall course quality rating, a workload/pacing rating, a matrix of agreement statements, and a likelihood-to-recommend score — with an AI follow-up interview that reconstructs the specific moment behind each student's overall rating, not just the number itself
  • Includes a behavioral frequency question on office hours/question-asking and a ranking exercise so you learn which factors actually drive impressions, rather than guessing from a single star rating
  • A dedicated open-text question ('what one thing would you change') captures concrete, actionable feedback that static scales miss
  • Optional year-of-study and field-of-study questions let academic affairs teams segment results without forcing every respondent to answer

Jotform

Student Perception Survey Form Template

A ready-to-field static form covering standard student-perception items, built on Jotform's drag-and-drop form builder. It's easy to customize and embed but relies entirely on fixed question sets with no adaptive probing. Good for quick deployment, less suited to teams wanting deeper qualitative insight per response.

What it does well

  • Fielding-ready template that can be deployed quickly
  • Drag-and-drop customization and broad integration ecosystem typical of Jotform
  • Familiar, simple form format for respondents

Where it falls short

  • Static question set with no adaptive AI follow-up to probe the reasoning behind a rating
  • No voice AI interview or guided screen-share task options
  • No published methodology for how responses are scored or interpreted

Typeform

Student Perception Survey Template

Typeform's version emphasizes its signature one-question-at-a-time conversational interface, which tends to boost completion rates for course-feedback surveys. It's a fixed template rather than an adaptive interview, so every respondent sees the same fixed sequence of questions. Strong on form aesthetics and UX, thinner on follow-up depth.

What it does well

  • Polished, conversational one-question-at-a-time interface known to improve completion rates
  • Simple to customize and share as a standalone link
  • Mobile-friendly presentation

Where it falls short

  • No adaptive AI follow-up questions — the flow is identical for every respondent regardless of their answers
  • No automated per-response quality scoring or auto-generated reports
  • No voice interview or guided task with screen share option

Ready to launch?

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