Q01
Message
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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.
Sample questions
A preview of what’s in the template. Every question is editable before you launch.
13 questions · ~7 min
Q02
Multiple ChoiceRequired
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
Opinion ScaleRequired
How helpful has the AI tutor been in helping you understand material you were struggling with?
Scale: 1 – 7
Min:Not helpful at allMax:Extremely helpful
Q04
MatrixRequired
How much do you agree with each statement about your experience with the AI tutor?
4 rows × 5 columns
- 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
Columns: Strongly disagree · Disagree · Neutral · Agree · Strongly agree
Q05
Multiple Choice
Which subjects have you used the AI tutor for?
- Math
- Science
- Reading/Writing
- Language learning
- Test prep
- Coding/Computer science
Q06
Rating ScaleRequired
Overall, how satisfied are you with the AI tutor as a learning tool?
Range: 1 – 5
Min:Very dissatisfiedMax:Very satisfied
Q07
Best–Worst Trade-off (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
Pick best & worst per setBest:Matters mostWorst:Matters least
Q08
AI Interview
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
Number
On average, how many hours per week do you spend using the AI tutor?
Q10
Long Text
Describe one specific moment when the AI tutor either really helped you understand something, or really let you down. What happened?
Q11
Multiple Choice
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
Multiple Choice
Which age range best describes you?
- Under 13
- 13-17
- 18-24
- 25-34
- 35-44
- 45 or older
- Prefer not to say
Q13
Message
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.
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
- 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.
What it does well
- 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
Where it falls short
- 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.
What it does well
- 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
Where it falls short
- 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
Ready to launch?
Open this template in the editor. Every part is yours to change before the first respondent sees it.