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すべてのテンプレート
Industry-Specific

Professor Teaching Effectiveness Evaluation Survey

Measures how students experience a professor's teaching across clarity, engagement, feedback, availability, and fairness, plus overall satisfaction and likelihood to recommend. Built for academic departments and course coordinators running end-of-term reviews, with an AI follow-up interview that digs into the specific moment or assignment that most shaped a student's rating.

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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
Q01
メッセージ

Thanks for taking a few minutes to reflect on this course and instructor. Your honest feedback helps shape how the course is taught in the future. This should take about 5 minutes, and your responses will be reviewed anonymously.

Q02
選択式必須

Which best describes your attendance in this course this term?

  • Attended nearly every class
  • Attended most classes
  • Attended about half of classes
  • Attended less than half of classes
  • Rarely attended
Q03
マトリクス必須

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

6行 × 5列
  • Explains concepts clearly
  • Encourages questions and participation
  • Provides timely, useful feedback on assignments
  • Is available and responsive outside of class (office hours, email)
  • Grades fairly and consistently
  • ほか1件
列: Strongly Disagree · Disagree · Neutral · Agree · Strongly Agree
Q04
選択式

In the last month, how many times did you use this professor's office hours or scheduled availability?

  • Never
  • Once
  • 2-3 times
  • 4 or more times
Q05
オピニオンスケール必須

Overall, how effective is this professor at helping you learn the material?

スケール: 1 – 7
最小:Not effective at all最大:Extremely effective
Q06
オピニオンスケール必須

How likely are you to recommend this professor's course to another student?

スケール: 0 – 10
最小:Not at all likely最大:Extremely likely
Q07
ベスト・ワースト選択（MaxDiff）

Which of these changes would improve this course the most, and which would matter least?

  • Faster turnaround on grading
  • More real-world examples and applications
  • More interactive discussion or activities in class
  • Clearer syllabus and assignment expectations
  • More availability outside of class
  • Updated or more current course materials
  • Smaller-group or peer collaboration time
各セットで最も良いもの・最も悪いものを選択最も良い:Would help most最も悪い:Would help least
Q08
AIインタビュー

Probe the reasoning behind the respondent's overall effectiveness rating, anchoring on the specific teaching dimension (clarity, feedback, availability, or fairness) they rated lowest or found most notable. Ask for a concrete example — a specific class, assignment, or interaction — that shaped their view, and what the professor could have done differently in that moment. If the respondent rated everything highly, ask what single thing this professor does that other instructors should copy.

Q09
自由回答（長文）

Is there anything else about this professor or course you'd like to share?

Q10
選択式

What is your class standing?

  • Freshman
  • Sophomore
  • Junior
  • Senior
  • Graduate student
  • Other
  • Prefer not to say
Q11
選択式

Was this course required for your major or degree program?

  • Yes, required
  • No, elective
  • Not sure
  • Prefer not to say
Q12
メッセージ

Thank you for sharing your feedback! Your responses will be combined anonymously with other students' answers and shared with the department to support the professor's growth and course improvements.

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

  • Includes a matrix question covering clarity, engagement, feedback, availability, and fairness alongside separate opinion-scale ratings for overall teaching effectiveness and likelihood to recommend
  • Pairs quantitative ratings with an AI follow-up interview that probes the specific moment or assignment that most shaped the student's overall effectiveness rating, going beyond a static open-text box
  • Captures context like attendance, office-hours usage, class standing, and whether the course was required, so departments can segment results by student engagement level
  • Uses a max-diff question to prioritize which course changes would matter most, giving coordinators a ranked action list rather than just averaged scores

QuestionPro

University Faculty Satisfaction Survey Template

A fielding-ready static survey template aimed squarely at university faculty/course evaluation, so it's a direct comparable. It covers standard satisfaction and rating dimensions typical of end-of-term instructor reviews. It does not appear to offer any adaptive follow-up questioning beyond the fixed question set.

優れている点

  • Purpose-built for academic faculty evaluation use cases
  • Backed by an established survey platform with broad question-type support
  • Likely offers customizable rating scales common to course evaluations

物足りない点

  • No adaptive AI follow-up interview to explore the reasoning behind a rating
  • No mention of voice-based interviews or guided screen-share tasks
  • No transparent, inspectable AI prompts or automated per-response quality scoring

SurveyMonkey

Teaching Assistant Evaluation: TA Survey Examples

This template targets teaching assistant evaluation rather than professor evaluation specifically, but it's close enough in structure and audience (academic course feedback) to be a reasonable comparison. It's a static, fielding-ready form built for end-of-term academic feedback collection. It focuses on a fixed set of questions with no dynamic follow-up capability described.

優れている点

  • Built specifically for academic teaching feedback contexts
  • Comes from a widely used survey platform with strong reporting/export features
  • Likely includes example questions departments can adapt quickly

物足りない点

  • Designed for TA rather than professor-level evaluation, so dimensions like long-term teaching fairness may be less developed
  • No adaptive AI or voice interview component to dig into individual student experiences
  • No published methodology for how responses are scored or interpreted

よくあるご質問

「Professor Teaching Effectiveness Evaluation 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 reflect on this course and instructor. Your honest feedback helps shape how the cours…」・「Which best describes your attendance in this course this term?」・「How much do you agree with each statement about this professor?」。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。

このテンプレートを使う無料で始める

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