Turn Student Curiosity into Self Directed Learning.

Helps you direct students to answer their own questions

Wonder Web

Turn curiosity into rigorous, standards-aligned inquiry

Output is for personal classroom use only.

Designing Pathways...

Crafting custom search queries and aligning rigor.

🛤️ Differentiated Pathways

🔍 Search-Based Resources: To prevent broken links, we provide "High-Yield Search Queries" that direct you to the best current resources.

📋 Progressive Inquiry Framework

📚 Resources & Strategies

Differentiation Strategies

    Recommended Search Queries

    Designed with the Connected Classroom Intelligence Suite. © 2025 Connected Classroom.

    💡 Why to Use

    😓 The Problem You Face

    A student raises their hand and asks: "Why don't all buildings fall down during earthquakes?"

    Your heart sinks a little. It's a brilliant question. Exactly the kind of curiosity you want to nurture. But turning that spontaneous wondering into a rigorous, standards-aligned, assessable learning experience? That takes hours of planning you don't have.

    So the moment passes, and the question gets filed under "maybe later."

    ✨ What Wonder Web Does

    Wonder Web takes any student question into a structured inquiry pathway in seconds. Not by answering the question for them, but by building the scaffolding for students to answer it themselves.

    You Provide:
    • The student's question
    • Grade level and subject
    • Your desired rigor level
    • Learning style preferences
    Wonder Web Generates:
    • 3 differentiated pathways — unique angles, tech, and products
    • Progressive Inquiry Framework — 5 customized phases
    • High-yield search queries — curated starting points
    • Printable Student Plan — a self-directed contract

    🧠 Why This Approach?

    We believe AI should scaffold human thinking. Every pathway is designed to meet your selected learning rigor goal while adapting to how each student learns best. The AI never answers the student's question but builds the road for them to find the answer themselves.

    🔒 What We Don't Do

    🚫

    We don't store student data

    🚫

    We don't require logins or build profiles

    🚫

    We don't promote generic EdTech tools — we prioritize simulations, creative platforms, and real data sources

    ✅

    We don't hide our logic — Gemini Flash powers the generation, constrained by pedagogical guardrails we've hard-coded

    💛 The Bottom Line

    Wonder Web gives you back the time to say "yes" to student curiosity without sacrificing rigor, differentiation, or your sanity.

    Connected Classroom Intelligence Suite • Open Source • Privacy First

    Transparency Statement

    The Inquiry Scaffolding Logic

    The Pain: While we champion student curiosity, turning a spontaneous question into a rigorous, assessable lesson is a massive, time-consuming challenge. Inquiry often feels unstructured and disconnected from required standards, leading to teacher anxiety and a lack of student agency strategies.

    Our Philosophy: The solution is Ethical Scaffolding. We use AI not to answer the question, but to build the pathways for the student to answer it themselves. Every pathway is intentionally designed to meet a specific Learning Rigor Goal while honoring the student's unique learning preferences.

    The Tool: Wonder Web takes a student's question and instantly generates a set of differentiated inquiry pathways. It aligns the investigation to a selected Depth of Knowledge (DOK) level and provides a step-by-step Progressive Inquiry Framework to ensure the learning is rigorous, standards-aligned, and self-directed.

    We are not a black-box corporation. You deserve to know exactly how this tool works.

    Reasoning Engine (Model): Gemini Flash (Latest). Selected for its superior ability to parse a complex, open-ended question and align the subsequent inquiry steps to a specific cognitive demand (Depth of Knowledge).

    Pedagogical Logic (Rigor): DOK/Rigor Alignment. The AI is hard-coded to constrain the inquiry pathways based on the user's selected Learning Rigor Goal (e.g., Recall, Strategic Thinking).

    Differentiation Logic: Learning Style Prioritization. The tool generates differentiated pathways (Visual, Kinesthetic, Social, etc.) and provides a final, student-facing Inquiry Contract to formalize the self-directed learning plan.

    Privacy: No student data is stored. Inputs are ephemeral. We do not store student questions, output, or build profiles on users or students.

    Common Questions & Ethical Commitments (FAQ)

    • Yes, this tool is completely free and available for use. As an open-source research initiative, we champion accessible tools for all educators.

    • The tool manages rigor by aligning the pathways to a chosen Learning Rigor Goal. This provides the necessary structure to ensure the self-directed learning is rigorous and standards-aligned.

    • The tool uses your selected Learning Style Preferences to generate differentiated pathways with unique final products and investigation steps, ensuring the inquiry honors the student's optimal way of learning.

    • No. User inputs (questions, grade level, topics) are processed transiently to generate the pathways. We never store, track, or build profiles. Our commitment is to AI ethics for schools.