すべてのテンプレート
Education & Academic

Generative AI and Student Learning Experience Survey

A research instrument measuring how generative AI tools affect student learning outcomes across learning depth, critical thinking, knowledge retention, and metacognitive awareness. Designed for pre/post and experimental research designs. Estimated completion time: 10–14 minutes.

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30問・約13分
Q01
メッセージ

Welcome and thank you for participating in this study about technology use in learning. This survey asks about your experiences with various tools you use in your coursework. Your participation is completely voluntary, and you may stop at any time without penalty. There are no right or wrong answers — we are interested in your honest opinions and experiences. Your responses are confidential and will be reported only in aggregate form. No individual responses will be identifiable. Results will be used for academic research purposes. Estimated completion time: 10–14 minutes. By continuing, you confirm that you are 18 years or older and consent to participate.

Q02
プルダウン

Please indicate when you are completing this survey.

  • Pre-intervention (beginning of study period)
  • Post-intervention (end of study period)
  • Single administration (cross-sectional)
Q03
選択式

Are you currently enrolled as a student at a college or university?

  • Yes
  • No
Q04
選択式

Which of the following generative AI tools have you used for learning or coursework? Select all that apply.

  • ChatGPT (OpenAI)
  • Claude (Anthropic)
  • Gemini (Google)
  • Microsoft Copilot
  • Perplexity AI
  • Grammarly AI features
  • GitHub Copilot
  • Other (please specify)
Q05
選択式

For which of the following learning activities do you use generative AI tools? Select all that apply.

  • Understanding or summarizing readings and lecture notes
  • Brainstorming ideas for assignments or projects
  • Writing or drafting essays and reports
  • Solving problem sets or practice exercises
  • Studying for exams or quizzes
  • Generating examples or explanations of concepts
  • Getting feedback on my work
  • Coding or technical tasks
  • Research and finding sources
  • Language translation or editing
  • Other (please specify)
Q06
メッセージ

The next set of questions asks about your learning experiences when using generative AI tools. Please think about your most recent course where you used AI tools and answer based on that experience. There are no right or wrong answers — we are interested in your honest perceptions.

Q07
オピニオンスケール

How often do you check the accuracy or validity of information provided by generative AI before using it in your work?

スケール: 1 – 5
最小:Never最大:Always
Q08
オピニオンスケール

Thinking about material you learned with the help of generative AI, how confident are you that you could recall and explain the key concepts without any AI assistance?

スケール: 1 – 7
最小:Not at all confident最大:Extremely confident
Q09
オピニオンスケール

When starting a learning task that involves generative AI, how often do you set specific learning goals for yourself before beginning?

スケール: 1 – 5
最小:Never最大:Always
Q10
オピニオンスケール

Overall, how has your use of generative AI tools affected the quality of your learning?

スケール: 1 – 7
最小:Significantly decreased learning quality最大:Significantly increased learning quality
Q11
プルダウン

What is your current academic level?

  • First-year undergraduate
  • Second-year undergraduate
  • Third-year undergraduate
  • Fourth-year undergraduate or beyond
  • Master's student
  • Doctoral student (PhD, EdD, etc.)
  • Professional degree student (JD, MD, MBA, etc.)
  • Other
Q12
選択式

Have you used any generative AI tools (e.g., ChatGPT, Claude, Gemini, Copilot) for learning or coursework in the past 3 months?

  • Yes
  • No
Q13
オピニオンスケール

In a typical week during the academic term, how often do you use generative AI tools for learning or coursework?

スケール: 1 – 5
最小:Never最大:Daily or almost daily
Q14
ランク付け

Please rank the following learning activities from the one where you use generative AI MOST (1) to LEAST.

  1. Understanding or summarizing material
  2. Brainstorming and generating ideas
  3. Writing and drafting
  4. Problem-solving and practice
  5. Studying and exam preparation
  6. Getting feedback on my work
ドラッグして順位を付ける
Q15
オピニオンスケール

When using generative AI for this course, to what extent did you develop a deep understanding of the underlying concepts?

スケール: 1 – 7
最小:Not at all最大:To a great extent
Q16
オピニオンスケール

How often do you form your own conclusions about a topic before consulting generative AI?

スケール: 1 – 5
最小:Never最大:Always
Q17
オピニオンスケール

Compared to material you learned WITHOUT generative AI, how would you rate your ability to retain information learned WITH generative AI?

スケール: 1 – 7
最小:Much worse retention最大:Much better retention
Q18
オピニオンスケール

While using generative AI for learning, how often do you pause to check whether you actually understand the material rather than just reading the AI's response?

スケール: 1 – 5
最小:Never最大:Always
Q19
AIインタビュー

Based on your responses in this survey, please share any additional thoughts about how generative AI has influenced your learning experience — both positively and negatively.

Q20
プルダウン

What is your primary field of study?

  • Arts & Humanities
  • Social Sciences
  • Business & Management
  • Natural Sciences
  • Engineering & Technology
  • Computer Science & Information Technology
  • Health Sciences & Medicine
  • Education
  • Law
  • Mathematics & Statistics
  • Other (please specify)
Q21
オピニオンスケール

How would you describe your overall level of engagement with your current coursework?

スケール: 1 – 7
最小:Not at all engaged最大:Extremely engaged
Q22
オピニオンスケール

When using generative AI for this course, to what extent were you able to apply concepts to new problems or scenarios on your own?

スケール: 1 – 7
最小:Not at all最大:To a great extent
Q23
オピニオンスケール

How often do you question the assumptions or perspectives embedded in generative AI responses?

スケール: 1 – 5
最小:Never最大:Always
Q24
オピニオンスケール

How confident are you that you could apply concepts learned with generative AI to a different course or real-world situation?

スケール: 1 – 7
最小:Not at all confident最大:Extremely confident
Q25
オピニオンスケール

How often do you change your approach to using generative AI when you realize your current strategy is not helping you learn effectively?

スケール: 1 – 5
最小:Never最大:Always
Q26
プルダウン

What is your age?

  • 18–20
  • 21–23
  • 24–26
  • 27–30
  • 31–35
  • 36–40
  • 41 or older
  • Prefer not to say
Q27
オピニオンスケール

When using generative AI for this course, to what extent did you analyze, compare, or critically evaluate the information you encountered?

スケール: 1 – 7
最小:Not at all最大:To a great extent
Q28
オピニオンスケール

How often do you consult additional sources (textbooks, journals, peers) to compare against what generative AI provides?

スケール: 1 – 5
最小:Never最大:Always
Q29
オピニオンスケール

After completing a learning task with generative AI, how often do you reflect on whether the AI actually helped you learn or just helped you complete the task?

スケール: 1 – 5
最小:Never最大:Always
Q30
オピニオンスケール

When using generative AI for this course, to what extent did you create original work or synthesize ideas beyond what the AI provided?

スケール: 1 – 7
最小:Not at all最大:To a great extent

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 dedicated opinion-scale batteries mapped to four distinct constructs (learning depth, critical thinking, knowledge retention, metacognitive awareness) rather than generic satisfaction questions.
  • Uses behavioral and ranking items (e.g., ranking which learning activities most involve generative AI, multi-select on tool usage) to capture actual usage patterns before asking about outcomes.
  • Closes with an AI follow-up interview that adapts to each respondent's prior answers, letting them elaborate on their own experience instead of ending at a static open-text box.
  • Structured for pre/post and experimental research designs with demographic and enrollment screening (academic level, field of study, age, enrollment status) built in for segmentation.

Jotform

E-learning Student Performance Evaluation Form Template

This is a general e-learning performance evaluation form, not a generative-AI-specific research instrument. It's fielding-ready as a form builder template but would need substantial editing to measure constructs like critical thinking or metacognitive awareness tied to AI tool use. Best suited for course-level feedback rather than academic research on generative AI.

優れている点

  • Easy drag-and-drop customization typical of Jotform templates
  • Quick to deploy for general course/e-learning feedback
  • Integrates with Jotform's broader form ecosystem (payments, notifications, etc.)

物足りない点

  • No generative-AI-specific question content; would require full rebuild for this research topic
  • Static question set with no adaptive follow-up or AI-driven probing
  • No automated quality scoring of open-ended responses

QuestionPro

Distance learning survey template for students

A distance-learning experience survey template focused on remote/online learning satisfaction, not generative AI use specifically. It's a ready-to-field template within QuestionPro's platform but covers a different construct set than AI-driven learning outcomes. Researchers would need to substantially rewrite items to address critical thinking or metacognition around AI tools.

優れている点

  • Established survey platform with standard logic and reporting features
  • Template addresses broader distance-learning context which may be useful for comparison studies
  • Supports typical survey distribution channels

物足りない点

  • No generative-AI-specific items on critical thinking, retention, or metacognitive awareness
  • No adaptive AI interview or voice-based follow-up to probe individual responses
  • No published methodology on prompt design or scoring transparency

SurveyMonkey

Distance Learning Survey Template

Originally built around COVID-era distance learning check-ins, this template targets remote schooling logistics and satisfaction, not generative AI's cognitive effects on students. It is a usable, fielding-ready template on SurveyMonkey's platform but is topically distant from generative AI research needs. Would function better as a general remote-learning pulse survey than an experimental research instrument.

優れている点

  • Widely recognized, easy-to-deploy survey platform
  • Simple structure suited for quick pulse-check style feedback
  • Established reporting dashboard for descriptive statistics

物足りない点

  • No content addressing generative AI tools or their cognitive/learning impact
  • Fixed question flow with no adaptive follow-up questioning
  • No mechanism for scoring response quality or depth of reflection

SurveySparrow

Distance Learning Check-in Bot Template

A conversational check-in bot for distance learning during COVID-19, aimed at brief pulse-style engagement rather than in-depth research on generative AI's effect on learning. Its chatbot format is fielding-ready but designed for quick check-ins, not multi-construct academic measurement. Not suited as-is for pre/post experimental research designs.

優れている点

  • Conversational chatbot format may feel more engaging than static forms
  • Good for quick, low-friction check-ins with students
  • Native to SurveySparrow's chat-style survey product

物足りない点

  • No generative-AI-specific or multi-construct research content (learning depth, retention, metacognition)
  • Chatbot follow-ups are scripted, not adaptive AI-generated based on individual response content
  • No transparent prompt methodology or automated quality scoring of responses

よくあるご質問

「Generative AI and Student Learning Experience 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30問含まれており、最初の設問は次のとおりです:「Welcome and thank you for participating in this study about technology use in learning. This survey asks about your exp…」・「Please indicate when you are completing this survey.」・「Are you currently enrolled as a student at a college or university?」。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、30問を約13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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