📚 → 🤖 → 🎯

AI-powered quiz generation for lesson prep

Slides, notes, or learning objectives are enough to get started. In your quiz collection, open “Create a quiz with AI”, copy the generation template into your AI chat, and paste in your material.

Then send the review template in the same chat. It balances answer options, strengthens distractors, and checks the JSON before import.

Result: In minutes, you have an importable quiz draft to review in arsnova.eu, fine-tune, and use in class.

Find it in your quiz collection.

The numeric estimate question lets you collect real number estimates in arsnova.eu, either in a single round or in two rounds with a short discussion in between.

What it is for

• Make prior knowledge visible without revealing the answer too early.
• Let learners estimate again after a discussion.
• Review the reference value, accepted range and the change from round 1 to round 2 in a calm result view.

Details

• Integer or decimal input.
• Absolute interval or relative tolerance band.
• Before results are released, participants do not see the distribution or how close they are to the solution.
• Statistics in the host view stay in an expandable detail section.

Please try the estimate question in a real class. Is the flow clear? Are the graphics and statistics useful? Is anything missing for your teaching situation?

Your feedback will help with the final refinement.

🚀 faster · 🙂 just right · 🐢 slower · 😵 lost

Four icons let your group show live whether they can keep up. Start it in quick feedback and adjust your pace instantly.

Try it

arsnova.eu is a powerful way to turn any meeting or workshop into an engaging, collaborative experience. This concept gives you a simple, motivating structure you can use right away — whether you're running a strategy session, a team workshop or a customer training.

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🌟 1. Purpose of the Session

• Create an open, energetic atmosphere where everyone feels invited to contribute.
• Collect insights quickly and transparently.
• Strengthen collaboration and shared understanding.
• Turn passive listening into active participation.

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🧭 2. Suggested Flow (60–90 minutes)

Phase 1 – Warm Welcome & Quick Check‑In (10 minutes)

Start with a short pulse check:
“How are you arriving today?”
This sets the tone and helps you sense the room.

Add one light question to break the ice — no leaderboard, just smiles.

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Phase 2 – Input & Instant Feedback (15 minutes)

Share your key message or topic.
Then use a quick poll or a multiple‑choice question to check alignment:
“What resonates most with you so far?”
This keeps everyone mentally present.

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Phase 3 – Peer Exchange & Co‑Creation (20 minutes)

Use a question that sparks discussion.
Let participants vote individually, then talk in pairs or small groups, and vote again.
This creates clarity, shared understanding and fresh ideas.

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Phase 4 – Q&A Wall (15 minutes)

Invite participants to post questions anonymously.
Upvotes highlight what matters most.
Answer the top questions live — it builds trust and transparency.

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Phase 5 – Wrap‑Up & Action Steps (10 minutes)

End with a short quiz or pulse check:
“What is your most important takeaway?”
Use the results to define next steps together.

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🧰 3. Preparation Tips

• Create a small set of questions in advance (check‑in, poll, discussion, wrap‑up).
• Keep everything short and energetic.
• Use anonymity to encourage honest input.
• Activate team mode if you want a playful competition.

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🎉 Final Thought

With arsnova.eu, your meeting becomes more than a meeting — it becomes a shared experience.
You’ll spark engagement, uncover insights and build momentum that lasts beyond the session.

This concept outlines how to run a highly interactive 90‑minute class session using arsnova.eu. It combines live quizzes, pulse checks, Q&A and peer instruction to create an engaging and effective learning experience. The structure is intentionally low‑threshold so instructors can start immediately without technical hurdles.

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🧭 1. Learning Objectives

Subject‑related objectives

• Learners understand the key concepts of the session.
• They identify and correct common misconceptions.
• They apply what they have learned in short transfer tasks.

Cross‑disciplinary objectives

• Active participation from all learners.
• Development of metacognitive awareness (“What do I really know?”).
• Strengthening collaboration through peer instruction and team modes.
• Providing a safe, anonymous space for questions and feedback.

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🏗️ 2. Session Structure (90 minutes)

Phase 1 – Warm‑up & Activation (10 minutes)

Pulse Check:
“How confident do you feel about today’s topic?”
Options: Very confident – Unsure – No idea.
Briefly comment on the results to set the tone.

Warm‑up Quiz:
1–2 easy questions to activate the group.
No leaderboard, no competition — just a friendly start.

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Phase 2 – Input I + Peer Instruction (25 minutes)

Short Input (10 minutes):
A concise introduction to the core ideas.
Kept deliberately brief to leave room for active learning.

Peer Instruction Question (15 minutes):

1. Individual vote via arsnova.eu
2. Show results without revealing the answer
3. Pair discussion (“Try to convince each other”)
4. Second vote
5. Reveal and explain the solution

This method promotes deep understanding and makes thinking visible.

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Phase 3 – Input II + Transfer (20 minutes)

Short Input (10 minutes):
Further explanation focusing on typical errors and misconceptions.

Transfer Task (10 minutes):
Open question, e.g.:
“What assumption is crucial in this example?”
Collect anonymous responses and discuss selected examples.

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Phase 4 – Q&A Wall (15 minutes)

Learners post anonymous questions.
Upvotes highlight what matters most.
The instructor answers the top questions live.

This encourages participation from everyone — including quieter learners.

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Phase 5 – Wrap‑up & Evaluation (10 minutes)

Mini Quiz (3 questions):
A short knowledge check at the end.
Optional leaderboard for a playful finish.

Closing Pulse Check:
“How well do you understand the topic now?”
Compare with the initial pulse check to show learning progress.

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🧰 3. Preparation for Instructors

• Create quizzes in the quiz library (warm‑up, peer instruction, transfer, wrap‑up).
• Prepare pulse check templates.
• Optionally enable team mode, bonus codes or gamification.
• Use Sync‑ID for collaborative quiz creation if needed.

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🧠 4. Didactic Rationale

• Activation: Every phase requires active engagement.
• Formative assessment: Instructors always know where the group stands.
• Peer instruction: Learners learn by explaining — not just listening.
• Anonymity: Encourages honest participation.
• Low threshold: No accounts, no barriers.
• Local‑first: Privacy‑friendly and technically robust.

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🧩 5. Extensions

• Team mode for group competitions.
• Bonus codes for outstanding explanations.
• AI prompt import for quick question creation (local, no data transfer).
• Export/import for recurring sessions.

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🎉 Conclusion

This concept shows how arsnova.eu can enrich a learning session. By combining quizzes, pulse checks, peer instruction and Q&A, you create a lively, interactive and effective learning environment — privacy‑friendly, accessible and grounded in solid educational research.

Start instant pulse feedback — or run quizzes, polls, Q&A, Peer Instruction, team mode, and bonus codes. Mentimeter-style interaction without vendor lock-in. Kahoot energy with real teaching value. Slido-style Q&A plus full live engagement. No account, no tracking, open source, and free to use.

Try it now

What you're looking at isn't just an update—it's a paradigm shift. The new arsnova.eu was coded entirely by AI agents.

The numbers are staggering: OpenHub estimates the cost to replicate the legacy ARSnova ecosystem at around $2 million; developing arsnova.eu cost just $400 in API tokens. Under my direction, the AI agent generated over 100,000 lines of code in just a few hours. My entire role as Product Owner, architect, and QA tester took less than a single work week.

My appeal: We must radically overhaul the computer science curriculum now! We should stop focusing on memorizing syntax and writing lines of code. Instead, we must teach how to deeply understand requirements and how to act as architects and conductors of AI-driven development. This is the new art of efficiency.

Best regards

Prof. Klaus Quibeldey-Cirkel

arsnova.eu – MADE in EUROPE