QuestionPunkQuestionPunk
無料で始める
すべてのテンプレート
Industry-Specific

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.

このテンプレートを使うほかのテンプレートを見る

設問の例

テンプレートの内容をプレビューできます。すべての設問は公開前に自由に編集できます。

全11問・約6分
Q01
メッセージ

Thanks for taking a few minutes to share honest feedback on (Replace with class name). Your responses are completely confidential and anonymized. Your answers help shape how this course runs next time and will be reviewed after grades are finalized. This takes about 5 minutes. (Template note: replace the class name placeholder before launching.)

Q02
選択式必須

How many of the class sessions did you attend in person or watch live?

  • All or nearly all
  • Most
  • About half
  • A few
  • None
Q03
オピニオンスケール必須

Overall, how satisfied are you with this class?

スケール: 1 – 7
最小:Very dissatisfied最大:Very satisfied
Q04
マトリクス必須

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

5行 × 5列
  • 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
列: Strongly disagree · Disagree · Neutral · Agree · Strongly agree
Q05
選択式必須

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
Q06
ベスト・ワースト選択（MaxDiff）必須

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
各セットで最も良いもの・最も悪いものを選択最も良い:Most urgently needs improvement最も悪い:Least urgently needs improvement
Q07
評価スケール必須

How would you rate the overall workload for this class?

範囲: 1 – 5
最小:Far too light最大:Far too heavy
Q08
AIインタビュー

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.

Q09
自由回答（長文）

What's one specific change that would have made this class better for you?

Q10
選択式

What is your class standing?

  • First-year
  • Second-year
  • Third-year
  • Fourth-year
  • Graduate student
  • Other
  • Prefer not to say
Q11
メッセージ

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.

含まれる機能

  • AIによる深掘り

    自由回答に合わせてAIが追加で質問し、固定のフォームでは拾えない具体的な内容を引き出します。

  • 注意確認設問

    急いだ回答や質の低い回答者を除外する仕組みを標準で備えています。

  • AIが作成する設問文

    文言、設問の順序、条件分岐をAIが調査の目的に合わせて作成します。

  • 自動レポート

    回答が集まると、テーマ、引用、わかりやすい要約が自動で作成されます。

他ツールとの比較

ほかのアンケートツールで最も近いテンプレートを調べました。それぞれの優れている点と、このテンプレートがさらに踏み込んでいる点をまとめています。

このテンプレートを選ぶ理由

  • 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 Template

A 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.

優れている点

  • 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

物足りない点

  • 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 Template

A 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.

優れている点

  • 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

物足りない点

  • 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 template

This 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.

優れている点

  • 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

物足りない点

  • 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

よくあるご質問

「End-of-Class Feedback and Course Improvement Survey」テンプレートにはどのような設問が含まれていますか？

すぐに使える設問が11問含まれており、最初の設問は次のとおりです：「Thanks for taking a few minutes to share honest feedback on (Replace with class name). Your responses are completely con…」・「How many of the class sessions did you attend in person or watch live?」・「Overall, how satisfied are you with this class?」。すべての設問は上でプレビューでき、自由に編集できます。

このアンケートの回答にはどのくらい時間がかかりますか？

回答者は通常、11問を約6分で回答し終えます。

テンプレートは編集できますか？

はい。公開前であれば、すべての設問、選択肢、順序を編集できます。設問の追加や削除のほか、調査の目的に合わせた作り直しをAIエディターに依頼することもできます。

このテンプレートは無料で使えますか？

はい。エディターで開けば、すぐに編集を始められます。お試しにアカウントは不要で、無料プランでアンケートを公開できます。

公開の準備はできましたか？

このテンプレートをエディターで開いてみてください。最初の回答者が目にする前に、すべてを自由に変更できます。

このテンプレートを使う無料で始める

関連テンプレート

似たテーマのほかの調査もご覧ください。

すべて見る
Industry-Specific

Esthetician Client Skin Intake & History Survey

A pre-appointment intake for estheticians and skincare studios that captures skin type, concerns, allergies, contraindications, and treatment goals before a first visit — with an AI follow-up that digs into any past reactions or unclear answers so the esthetician walks in fully briefed instead of re-asking basics on the table.

テンプレートを見る
Industry-Specific

End-of-Course Student Feedback Survey

Captures how students experienced a course — clarity of instruction, workload, materials, and instructor effectiveness — plus a best-worst prioritization of what to fix first. An AI follow-up interview digs into the reasoning behind the overall rating so instructors get specific, actionable detail instead of a single number.

テンプレートを見る
Industry-Specific

Online Course Feedback & Completion Survey

Captures how learners experienced an online course — content clarity, pacing, instructor delivery, and completion barriers — with an AI follow-up interview that digs into the specific moment a learner struggled, disengaged, or nearly dropped out. Built for course creators, instructional designers, and academic teams reviewing a cohort or module.

テンプレートを見る
Industry-Specific

Post-Lecture Feedback & Teaching Quality Survey

Captures how clear, well-paced, and engaging a lecture was, plus which specific aspects (pacing, examples, Q&A, materials) students most want improved. An AI follow-up interview digs into a concrete moment the student found confusing or engaging, turning vague 'it was fine' ratings into specifics an instructor can act on.

テンプレートを見る
Industry-Specific

Online Training Course Feedback Survey

Captures how learners actually experienced an online training course — completion, content quality, instructor clarity, and confidence applying the material — for L&D teams and course designers. An AI follow-up interview digs into the real obstacles behind low satisfaction or recommendation scores instead of settling for a bare number.

テンプレートを見る
Industry-Specific

College Experience & Satisfaction Feedback Survey

Measures how satisfied students are with instruction, advising, facilities, and support services this term, and what the college should prioritize improving next. An AI follow-up interview digs into the story behind each student's recommendation score, surfacing specific incidents and unmet needs that closed-ended ratings miss. Built for academic affairs and student experience teams.

テンプレートを見る