Skip to main content
The Worksheet Builder follows a five-step guided flow. Teachers provide metadata → configure framework → generate questions → review → export. At every stage, AI makes recommendations, while teachers stay in control.

Step-by-Step Flow

1

Basic Metadata

Enter class, subject, topic, number of questions, and curriculum board.
Optional: upload OCR textbook images or notes for context.
2

Learning Metadata

AI recommends Learning Outcomes, SMART Objectives, Competencies, and Key Concepts.
Teachers can accept, edit, or swap for alignment.
3

Worksheet Framework Builder

Configure the distribution of:
  • Question Types (MCQ, Short, Long, True/False, Fill Blanks).
  • Difficulty Levels (Easy, Medium, Hard).
  • Bloom’s Taxonomy levels (Remember → Create).
    Quick presets or full customization available.
4

AI-Powered Question Generation

Generate editable question–answer pairs.
Each item is tagged with Learning Objective, Bloom’s, Competency, and Difficulty.
Teachers can edit, regenerate, or add custom questions.
5

Review & Export

Finalize the worksheet and export in multiple formats:
  • Student Version (clean, no tags).
  • Teacher Version (with answers, tags, difficulty levels).
  • Digital HTML for LMS integration.
    Export options also include hiding/showing tags or answer keys.

Ecosystem Integration

  • Upstream: Lesson Plan Builder + Action Plans feed objectives into worksheet setup.
  • Core: Worksheet Builder creates tagged, standards-aligned worksheets.
  • Downstream: Worksheets feed into AI Studio exports, classroom practice, and ClassTrack observation for remediation cycles.

Next Step

Explore Use Cases to see how Schools, Tutoring Platforms, LMS/ERPs, and E-learning providers use Worksheet Builder.

FAQ

The Worksheet Builder follows a five-step guided flow: Teachers provide metadata → configure framework → generate questions → review → export. AI makes recommendations at every stage, while teachers stay in control. This keeps worksheet creation structured, explainable, and aligned to your selected framework before final export.
Configure framework is where you choose the curriculum framework that governs question generation and tagging. The platform supports CBSE/ICSE/GDPR aligned setups, so your selections carry through to how items are suggested and labeled. This ensures worksheets inherit the right standards alignment from the outset.
AI proposes items based on your configured framework, but teachers remain the decision-makers. Because AI makes recommendations at every stage, you can accept, adjust, or reject suggestions before moving forward. The process is human-in-the-loop by design to keep pedagogy and quality in your control.
The review stage lets teachers validate AI-suggested content against the chosen framework and make final adjustments. It’s explicitly human-in-the-loop—teachers stay in control to confirm what goes into the export. Only after review do you proceed to the export step.
The flow begins by capturing worksheet-level metadata relevant to your use case, followed by selecting the curriculum framework. Keeping this information ready helps the AI tailor its recommendations in later steps. Exact fields depend on your deployment, but the workflow expects metadata first, then framework configuration.
Export finalizes the worksheet after your review, producing outputs governed by your configured framework. In CrazyGoldFish’s unified loop, this keeps standards tagging consistent across lesson plans, worksheets, and assessments. You can integrate exports into your systems via APIs or use white-label modules for delivery.
Yes—your engineers can plug the APIs or use white-label modules to embed the Worksheet Builder. Deployments are designed for speed with a 24h integration and no AI team required. This gives you the option to ship quickly via UI or automate flows programmatically.
Yes. The platform is CBSE/ICSE/GDPR aligned across evaluation, content, and reporting, and the Worksheet Builder inherits those practices. Human-in-the-loop review provides an added safety net for reliability and auditability.
CrazyGoldFish operates in a unified loop that ensures consistent standards tagging across lesson plans, worksheets, and assessments. By configuring the framework early in the five-step flow, the same alignment drives AI recommendations and final outputs. This reduces drift and keeps artifacts coherent across your stack.
Yes—the five-step guided flow is designed for teachers to drive end-to-end. AI makes recommendations at every stage while teachers stay in control, so you can create aligned worksheets without coding. If you later need automation or embedding, APIs and white-label modules are available.