Q01
메시지
모든 템플릿
AI Tutor Effectiveness and Student Learning Outcomes Survey
Measures how effectively an AI tutor supports student comprehension, engagement, and skill growth, for educators and edtech teams evaluating tutoring tools, with an AI follow-up interview that reconstructs a recent tutoring session to surface what helped or confused the student.
샘플 질문
템플릿에 포함된 내용을 미리 확인해 보세요. 모든 질문은 설문 공개 전에 자유롭게 수정할 수 있습니다.
질문 13개 · 약 7분
Q02
객관식필수
In the last 30 days, how often did you use the AI tutor?
- Not at all
- 1-2 times
- Weekly
- A few times a week
- Almost daily
Q03
의견 척도필수
How helpful has the AI tutor been in helping you understand material you were struggling with?
척도: 1 – 7
최소:Not helpful at all최대:Extremely helpful
Q04
매트릭스필수
How much do you agree with each statement about your experience with the AI tutor?
4개 행 × 5개 열
- The AI tutor explained concepts clearly
- The pace matched how quickly I learn
- The feedback felt personalized to me
- I felt more confident after using it
열: Strongly disagree · Disagree · Neutral · Agree · Strongly agree
Q05
객관식
Which subjects have you used the AI tutor for?
- Math
- Science
- Reading/Writing
- Language learning
- Test prep
- Coding/Computer science
Q06
평점 척도필수
Overall, how satisfied are you with the AI tutor as a learning tool?
범위: 1 – 5
최소:Very dissatisfied최대:Very satisfied
Q07
최선·최악 선택형(MaxDiff)
Which of these improvements would matter most to your learning, and which would matter least?
- Faster response times
- Clearer step-by-step explanations
- More personalized pacing
- Better feedback on mistakes
- More practice problems
- Ability to ask follow-up questions naturally
- Progress tracking and summaries
세트별 최선·최악 선택최선:Matters most최악:Matters least
Q08
AI 인터뷰
Reconstruct the respondent's most recent AI tutoring session in detail: what topic they were working on, what specifically the tutor did well or poorly, and whether they actually understood the material better afterward or just felt like they did. If they rated helpfulness or satisfaction low, probe the exact moment things broke down and what a human tutor would have done differently there.
Q09
숫자
On average, how many hours per week do you spend using the AI tutor?
Q10
장문형
Describe one specific moment when the AI tutor either really helped you understand something, or really let you down. What happened?
Q11
객관식
What grade level or program are you currently in?
- Elementary school
- Middle school
- High school
- Undergraduate
- Graduate
- Adult learner / other
- Prefer not to say
Q12
객관식
Which age range best describes you?
- Under 13
- 13-17
- 18-24
- 25-34
- 35-44
- 45 or older
- Prefer not to say
Q13
메시지
Thank you for sharing your experience! Your responses will help us improve how the AI tutor explains, paces, and personalizes lessons for students like you.
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
- Includes an AI follow-up interview that reconstructs the respondent's most recent AI tutoring session in detail, surfacing exactly what helped or confused them rather than relying on generic ratings alone.
- Combines structured measurement (usage frequency, opinion scale on helpfulness, satisfaction rating, matrix of agreement statements, and a max-diff prioritization of improvements) with open-ended depth, giving both quantifiable and qualitative signal on tutor effectiveness.
- Captures concrete moments of impact through a long-text prompt asking for a specific instance the AI tutor helped or confused the student, which the adaptive interview can then probe further.
- Every response, including open-text answers, is automatically quality-scored, and the interview prompts are transparent rather than a black box — useful for edtech teams that need defensible, auditable data.
Jotform
E-learning Student Performance Evaluation Form TemplateA fielding-ready static form for evaluating e-learning student performance generally, rather than one built specifically around AI tutoring tools. It's easy to deploy and customize but treats all respondents with the same fixed question set. Good for broad course-level feedback, less suited to probing individual tutoring interactions.
잘하는 점
- Ready-to-use, easily customizable form builder with a large existing template library
- Simple deployment for general e-learning performance feedback
- Familiar drag-and-drop interface for non-technical educators
아쉬운 점
- Static question set with no adaptive AI follow-up to probe individual student experiences further
- No mechanism to reconstruct a specific tutoring session or surface what helped or confused a student
- No automated quality scoring of open-ended responses
QuestionPro
Distance learning survey template for studentsA fielding-ready template focused on general distance/remote learning satisfaction rather than AI tutor effectiveness specifically. It likely covers broad experience and engagement questions but isn't designed to isolate tutoring-tool performance or reconstruct session-level detail. Useful as a general remote-learning pulse check.
잘하는 점
- Established survey platform with broad distribution and reporting tools
- Template is tailored to the distance-learning context rather than being fully generic
- Supports standard question types (ratings, multiple choice) for quick fielding
아쉬운 점
- No adaptive AI interview to reconstruct a specific tutoring session or dig into what confused a student
- No published methodology or transparent prompt logic behind its questions
- No per-response automated quality scoring or voice AI interview option
설문을 공개할 준비가 되셨나요?
이 템플릿을 편집기에서 열어 보세요. 첫 응답자가 보기 전에 모든 부분을 원하는 대로 바꿀 수 있습니다.