End-of-Class Feedback and Course Improvement Survey
Captures how students experienced a class — clarity of instruction, pacing, workload, and what actually helped them learn — then uses an AI follow-up interview to dig into the specific moment behind their overall rating. Built for instructors and departments who want more than a satisfaction number at term's end.
샘플 질문
템플릿에 포함된 내용을 미리 확인해 보세요. 모든 질문은 설문 공개 전에 자유롭게 수정할 수 있습니다.
How many of the class sessions did you attend in person or watch live?
- All or nearly all
- Most
- About half
- A few
- None
Overall, how satisfied are you with this class?
How much do you agree with each statement about this class?
- The instructor explained concepts clearly
- The pace of the class matched my ability to keep up
- Course materials (readings, slides, assignments) helped me learn
- I felt comfortable asking questions or participating
- Feedback on assignments or exams was timely and useful
In the last month, which part of the class contributed most to your learning?
- Lectures
- In-class discussions or activities
- Assignments or homework
- Group work or projects
- Office hours or extra help
- Readings or course materials
Looking at these aspects of the class, which most and least urgently need improvement?
- Pace of lectures
- Amount of homework or assignments
- Clarity of grading criteria
- Availability of the instructor for help
- Relevance of content to real-world skills
- Quality of course materials
- Opportunities for discussion or participation
How would you rate the overall workload for this class?
Reconstruct a specific moment or assignment that most shaped the respondent's overall satisfaction rating — ask them to walk through what happened, what the instructor or materials did well or poorly, and how it affected their learning. If they flagged a low-agreement item in the statement ratings (pacing, feedback timeliness, clarity), probe that concretely with an example. If workload was rated as too heavy or too light, ask what specifically they'd cut or add.
What's one specific change that would have made this class better for you?
What is your class standing?
- First-year
- Second-year
- Third-year
- Fourth-year
- Graduate student
- Other
- Prefer not to say
That's everything — thank you for the honest feedback! Your responses will be combined with your classmates' answers to help improve how this course is taught going forward.
포함된 기능
AI 후속 질문
정형화된 설문이 놓치는 세부 내용을, 주관식 답변에 맞춰 AI가 심층 질문으로 끌어냅니다.
주의력 확인 장치
성의 없는 답변과 저품질 응답자를 걸러내는 내장 안전장치입니다.
AI가 작성한 문안
문구, 질문 순서, 분기 로직까지 AI가 연구 목표에 맞춰 작성합니다.
자동 리포트
응답이 모이면 주요 주제, 인용문, 이해하기 쉬운 요약이 자동으로 작성됩니다.
다른 서비스와 비교
다른 설문 도구의 가장 유사한 템플릿을 검토했습니다. 그 도구들이 잘하는 점과, 이 템플릿이 한발 더 나아가는 지점을 정리했습니다.
이 템플릿을 선택하는 이유
- Goes beyond a single satisfaction score with a matrix of agreement statements plus a dedicated workload rating and attendance/standing questions for segmentation
- Uses an AI follow-up interview to reconstruct the specific moment or assignment that most shaped a student's overall rating, not just capture the rating itself
- Includes a max-diff exercise to prioritize which aspects of the class most urgently need improvement, giving instructors a ranked action list instead of open-ended guesses
- Closes with a specific 'what one change would help' long-text question, so qualitative feedback is targeted rather than generic
Jotform
Course Feedback Form TemplateA static, customizable course feedback form built on Jotform's drag-and-drop builder. It's fielding-ready but relies on fixed question sets with no mechanism to probe deeper into any individual response. Good for quick deployment and basic reporting, not for uncovering the reasoning behind a rating.
잘하는 점
- Fielding-ready template with drag-and-drop customization
- Wide range of field types and integrations typical of Jotform's builder
- Easy to embed or share across common LMS/email workflows
아쉬운 점
- No adaptive follow-up questioning — every respondent sees the same static fields
- No automated per-response quality scoring
- No transparent AI prompt methodology, since there's no AI interview component
Typeform
Class Feedback Form TemplateA conversational-style static form using Typeform's one-question-at-a-time UI to collect class feedback. It's polished and fielding-ready, but the conversational feel is purely visual — there's no actual dynamic interviewing based on what a student answers. Best suited for simple satisfaction pulses rather than deep diagnostic feedback.
잘하는 점
- Clean, high-completion-rate UI with one-question-at-a-time flow
- Fielding-ready and easy to customize without technical setup
- Familiar branding and design polish for student-facing surveys
아쉬운 점
- No true adaptive AI follow-up — question order and content are fixed regardless of answers
- No voice interview option or guided screen-share tasks
- No automated scoring of response quality or auto-generated analytical reports
QuestionPro
Course evaluation & improvement survey questions + Sample questionnaire templateThis is primarily a question-bank/guide page listing sample course evaluation questions rather than a single ready-to-field template. It's useful as a reference for building a survey manually, but it doesn't ship as an interactive, adaptive instrument. Reporting and analysis would need to be configured separately in QuestionPro's platform.
잘하는 점
- Broad library of sample course-evaluation questions across common categories
- Backed by an established survey platform with standard analytics tooling
- Useful as a reference/checklist for departments designing their own evaluation
아쉬운 점
- Presented as a question bank/guide rather than a single ready-to-deploy adaptive template
- No adaptive AI interview to probe the specific moment behind a rating
- No published methodology for how any AI-assisted features (if used) generate or score results
설문을 공개할 준비가 되셨나요?
이 템플릿을 편집기에서 열어 보세요. 첫 응답자가 보기 전에 모든 부분을 원하는 대로 바꿀 수 있습니다.