Q01
メッセージ
すべてのテンプレートEducation & Academic
Fintech Course Effectiveness & Learning Transfer Evaluation
Measures student satisfaction, instructional quality, curriculum relevance, and near-term learning transfer for fintech courses. Designed for course administrators and instructional designers seeking actionable improvement data.
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24問・約11分
Q02
プルダウン
What is your current progress in this fintech course?
- Just started (0–10%)
- Early (11–30%)
- Midway (31–60%)
- Nearly done (61–90%)
- Completed (100%)
Q03
オピニオンスケール
How would you rate the clarity of the instructor's explanations?
スケール: 1 – 7
最小:Very unclear最大:Very clear
Q04
オピニオンスケール
In the next 30 days, how likely are you to apply something you learned in this course?
スケール: 1 – 7
最小:Not at all likely最大:Extremely likely
Q05
自由回答（長文）
Based on your responses in this survey, please share any additional thoughts or suggestions about the course's relevance, delivery, or how it could better support your goals.
Q06
プルダウン
What is your primary role?
- Student
- Individual contributor (technical)
- Individual contributor (non-technical)
- Manager / Team lead
- Executive / Founder
- Other
Q07
メッセージ
Thank you for completing this survey. Your feedback is invaluable in helping us improve the course experience for all learners.
Q08
オピニオンスケール
Overall, how relevant is this course to your current role or professional goals?
スケール: 1 – 7
最小:Not at all relevant最大:Extremely relevant
Q09
オピニオンスケール
How would you rate the quality and usefulness of the course materials (slides, readings, code samples)?
スケール: 1 – 7
最小:Very poor最大:Excellent
Q10
オピニオンスケール
How confident are you in your ability to independently apply the course material to a real work task?
スケール: 1 – 7
最小:Not at all confident最大:Extremely confident
Q11
AIインタビュー
We'd like to understand your course experience in more depth. An AI moderator will ask you a couple of follow-up questions based on your earlier responses.
Q12
プルダウン
How many years of experience do you have in fintech or related fields?
- 0–1 years
- 2–4 years
- 5–9 years
- 10+ years
Q13
選択式
Which of the following topics are most applicable to your current or intended work? (Select all that apply.)
- Payments and payment rails
- Lending and credit risk
- Regulatory compliance
- Blockchain and crypto
- Wealthtech and robo-advice
- Fraud and AML
- Open banking and APIs
- Data analytics and ML
- Other (please specify)
Q14
オピニオンスケール
How would you rate the pacing of the course?
スケール: 1 – 7
最小:Much too slow最大:Much too fast
Q15
自由回答（長文）
Briefly describe one task or project where you plan to apply what you have learned.
Q16
プルダウン
Approximately how many employees are in your organization?
- 1–10
- 11–50
- 51–200
- 201–1,000
- 1,001–10,000
- 10,001+
Q17
オピニオンスケール
How engaging has the overall course experience been so far?
スケール: 1 – 7
最小:Not at all engaging最大:Extremely engaging
Q18
選択式
What barriers, if any, might prevent you from applying this learning in the next 30 days? (Select all that apply.)
- Limited time
- Lack of data or tool access
- Team buy-in
- Manager approval
- Compliance constraints
- Technical complexity
- Not sure where to start
- No barriers expected
- Other (please specify)
Q19
プルダウン
Which region do you primarily work or study in?
- North America
- Latin America
- Europe
- Middle East & North Africa
- Sub-Saharan Africa
- Asia-Pacific
- Other
Q20
選択式
Which of the following learning formats have you experienced in this course? (Select all that apply.)
- Live lectures
- Case studies
- Live coding or demos
- Group discussions
- Quizzes
- Assignments or projects
- Guest speakers
- Office hours
Q21
選択式
What type of support would most help you apply this learning in the near term? (Select all that apply.)
- Example code or templates
- Office hours or 1:1 help
- Checklist or cheat sheet
- Peer discussion group
- More practice exercises
- Additional readings
- Real-world datasets
- Other (please specify)
Q22
プルダウン
How would you describe the context in which you are taking this course?
- Employer-sponsored training
- University or degree program
- Self-directed learning
- Other
Q23
プルダウン
Of the formats you have experienced, which single format has helped you learn the most?
- Live lectures
- Case studies
- Live coding or demos
- Group discussions
- Quizzes
- Assignments or projects
- Guest speakers
- Office hours
Q24
選択式
May we contact you for a brief follow-up about your experience?
- Yes
- No
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 dedicated AI follow-up interview block that lets the AI moderator probe deeper into a respondent's course experience after the structured questions, something static form builders can't replicate
- Combines satisfaction and instructional-quality ratings (clarity, materials, pacing, engagement) with forward-looking learning-transfer questions (30-day application likelihood, confidence, planned task/project, barriers, support needed)
- Captures learning-format preferences and role/context segmentation (role, experience, org size, region, course context) so administrators can slice results by learner type
- Ends with a permission-to-contact question and auto-generated reporting, giving instructional designers both raw open-text detail and structured scores without manual tallying
Jotform
E-learning Student Performance Evaluation Form TemplateA fielding-ready, drag-and-drop form focused on general e-learning performance rather than fintech-specific relevance or near-term learning transfer. Good for quick deployment and basic data collection, but it is a static questionnaire rather than an adaptive interview. Best suited for teams wanting a simple, customizable evaluation form.
優れている点
- Easy-to-use drag-and-drop form builder
- Broad template library and integrations typical of Jotform
- Quick to deploy for general e-learning feedback
物足りない点
- No adaptive AI follow-up questioning — fixed question set for every respondent
- No voice-based interview option or guided screen-share tasks
- No automated per-response quality scoring or transparent prompt methodology
QuestionPro
Course evaluation & improvement survey questions + Sample questionnaire templateThis page reads more as a guide/sample-questionnaire resource with example course-evaluation questions than a purpose-built, ready-to-field fintech survey. It covers general instructional-quality and satisfaction themes useful as inspiration, but lacks fintech-specific relevance or transfer-of-learning framing. Useful for question ideas rather than a plug-and-play instrument.
優れている点
- Provides sample question banks covering multiple course-evaluation dimensions
- Backed by QuestionPro's established survey platform and logic features
- Educational content explaining why each question type matters
物足りない点
- Presented as a guide/sample list rather than a single fielding-ready template
- No adaptive AI-driven follow-up interviews or voice AI options
- No built-in automated quality scoring of open-text responses
SurveyMonkey
Training Course Evaluation Template: Questions & Feedback GuideA ready-to-use training evaluation template on an established survey platform, suitable for general course or training feedback but not tailored to fintech content or learning-transfer tracking. It offers standard rating and open-text questions rather than adaptive follow-up interviewing. Good for quick satisfaction pulses, less suited for deep qualitative probing.
優れている点
- Fielding-ready template on a mature, widely used survey platform
- Likely includes skip logic and standard analytics/reporting
- Familiar UI for respondents and administrators
物足りない点
- No adaptive AI follow-up or voice AI interview capability
- No mechanism for automated quality scoring of individual responses
- Lacks fintech-specific relevance and near-term learning-transfer question design
SurveySparrow
Sample Course Evaluation Form TemplateA conversational-style, fielding-ready form aimed at collecting instructor feedback, giving it a friendlier respondent experience than static grid forms. It centers on instructor and course-quality feedback rather than fintech relevance or learning-transfer measurement. No indication of adaptive probing or task-based evaluation.
優れている点
- Conversational chat-style form UI that can improve completion rates
- Ready-to-field template focused on instructor feedback
- Simple setup within SurveySparrow's platform
物足りない点
- No adaptive AI follow-up interviews or voice AI interview option
- No guided screen-share tasks or automated quality scoring
- Not designed for fintech-specific content or learning-transfer tracking
よくあるご質問
「Fintech Course Effectiveness & Learning Transfer Evaluation」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24問含まれており、最初の設問は次のとおりです：「Welcome to the Fintech Course Feedback Survey. This survey asks about your experience with the course, including its re…」・「What is your current progress in this fintech course?」・「How would you rate the clarity of the instructor's explanations?」。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、24問を約11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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