Q01
メッセージ
すべてのテンプレートEducation & Academic
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.
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12問・約7分
Q02
自由回答（短文）必須
Which course is this feedback about? (Include course code or section if known.)
Q03
オピニオンスケール必須
How likely are you to recommend this course to another student in your program?
スケール: 0 – 10
最小:Not at all likely最大:Extremely likely
Q04
マトリクス必須
How much do you agree with each statement about this course?
5行 × 5列
- The learning objectives were clear from the start
- The workload was manageable given the credit hours
- The instructor was accessible when I needed help
- Assessments (exams, assignments) fairly reflected what was taught
- Course materials (readings, slides, examples) were useful
列: Strongly disagree · Disagree · Neutral · Agree · Strongly agree
Q05
評価スケール必須
How would you rate the instructor's teaching effectiveness this term?
範囲: 1 – 5
最小:Poor最大:Excellent
Q06
選択式必須
In a typical week this term, how often did you actively participate (asking questions, discussion, group work) in this course?
- Never
- Rarely (once or twice all term)
- Sometimes (a few times a month)
- Most weeks
- Every session
Q07
ベスト・ワースト選択（MaxDiff）必須
Of the areas below, which most needs improvement and which is least in need of improvement?
- Pacing of lectures or modules
- Clarity of explanations
- Amount and manageability of workload
- Speed and usefulness of feedback on assignments
- Opportunities for questions and discussion
- Quality of course materials
- Fairness and clarity of grading
- Availability of the instructor outside class
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 needs improvement最も悪い:Least needs improvement
Q08
AIインタビュー
Probe the reasoning behind the respondent's recommendation likelihood score and their lowest-agreement statement in the rating battery. Ask for a specific moment or example (a lecture, assignment, or interaction) that shaped their view, and whether it was a one-time issue or happened repeatedly. If they flagged an area in the improvement trade-off, ask what a fix would concretely look like from their perspective. If their overall rating was high, ask what almost went wrong or could break next term.
Q09
選択式
Would you take another course from this instructor if your schedule allowed?
- Yes, definitely
- Probably
- Not sure
- Probably not
- No
Q10
選択式
What year of study are you currently in?
- First year
- Second year
- Third year
- Fourth year or beyond
- Graduate student
- Prefer not to say
Q11
選択式
What is your primary program or major?
- (Replace with your program list, e.g. Business, Engineering, Arts)
- Other
- Prefer not to say
Q12
メッセージ
That's everything — thank you for the detailed feedback! Your responses will be reviewed by the instructor and department to shape improvements for the next offering of this course.
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 by pairing a numeric recommendation rating with an AI follow-up interview that probes the reasoning behind it, so instructors get specific, actionable detail instead of just a number
- Includes a max-diff best-worst prioritization exercise so instructors know what to fix first, not just what students are dissatisfied with
- Combines structured measurement (matrix agreement statements, instructor effectiveness rating, participation frequency) with open-ended context, giving both quantifiable trends and qualitative reasoning
- Captures program/year-of-study context alongside course-specific feedback, enabling segmentation without extra survey design work
Jotform
Distance Learning Feedback Form for StudentsThis is a fielding-ready static form aimed at distance/remote learning feedback rather than general in-person course evaluation. It's built on Jotform's drag-and-drop form builder with standard field types. Useful as a quick-start template, but it collects fixed responses only with no mechanism to dig deeper into any single answer.
優れている点
- Ready to deploy immediately with Jotform's established form-building and distribution tools
- Purpose-built for remote/distance learning context, which may better match online-course use cases
- Likely supports standard field types (ratings, multiple choice, text) common to feedback forms
物足りない点
- Static question set with no adaptive AI follow-up to probe reasoning behind ratings
- No built-in prioritization mechanism (e.g., best-worst scaling) to rank what needs fixing first
- No automated per-response quality scoring or auto-generated analytical report
SurveySparrow
Student Feedback Survey TemplateA general-purpose student feedback template rather than one tailored specifically to end-of-course evaluation. It's presented as a conversational, ready-to-use survey on SurveySparrow's platform. It covers broad feedback themes but doesn't appear to include a structured prioritization exercise or deeper reasoning capture.
優れている点
- Conversational, chat-style survey format that can feel more engaging than a traditional form
- Ready-to-use template requiring minimal setup
- General education framing makes it adaptable across course types
物足りない点
- No adaptive AI interview to follow up on low or high ratings with targeted questions
- No best-worst prioritization to identify the single most urgent area to address
- No transparent, published probing methodology or automated quality scoring of responses
Typeform
Student Feedback Survey TemplateA conversational, one-question-at-a-time survey template well-suited to general student feedback collection. It's a static template built for Typeform's polished form experience rather than course-evaluation-specific research design. It doesn't appear to include voice interviews, adaptive probing, or a formal prioritization method.
優れている点
- Polished, one-question-at-a-time interface known for strong completion rates
- Easy to customize branding and question flow within Typeform's builder
- Ready to deploy quickly for general student feedback needs
物足りない点
- Fixed question flow with no adaptive AI follow-up to explore the 'why' behind a rating
- No best-worst prioritization feature to surface the top issue to fix first
- No automated quality scoring or auto-generated report synthesizing open-ended responses
よくあるご質問
「End-of-Course Student Feedback 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12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 this course. Your responses are completely confidential and…」・「Which course is this feedback about? (Include course code or section if known.)」・「How likely are you to recommend this course to another student in your program?」。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、12問を約7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。
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