> ## Documentation Index
> Fetch the complete documentation index at: https://docs.crazygoldfish.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Features

> Generate personalized student learning targets, practice tasks, and milestones directly from evaluation results.

<Info>
  The **Student Action Plan API** transforms **evaluation results** into personalized learning plans. It provides **targets, practice tasks, and milestones** so students can close gaps and achieve measurable progress.
</Info>

***

## Core Capabilities

* **Concept-Specific Targets**\
  Identify precise learning objectives based on evaluation results.

* **personalized Practice Tasks**\
  Generate adaptive worksheets, MCQs, and activities mapped to each student’s needs.

* **Milestones & Tracking**\
  Provide structured checkpoints with due dates to monitor student progress over time.

* **Curriculum Alignment**\
  Plans are mapped to NCERT/NEP 2020 standards for consistency and compliance.

* **Adaptive Pathways**\
  Learning pathways adjust based on progress and mastery levels.

***

<Image src="/images/student-plan-features.png" alt="Student Action Plan Features Overview" />

***

## Supported Inputs

* ✅ Exam Evaluation results (scores, rubric alignment, annotated feedback)
* ✅ Assignment Evaluation results (scores, misconceptions, strengths/improvements)

***

## Stakeholder Value

* **Students** → Clear learning targets and guided practice.
* **Teachers** → Visibility into individual gaps and progress checkpoints.
* **Leaders** → Cohort-level remediation analytics and tracking.
* **Parents** → Transparent student goals and milestones to support at home.

***

## Ecosystem Integration

* **Upstream** → Inputs from **Exam & Assignment Evaluation Suites**.
* **Core** → API generates personalized student plans.
* **Downstream** → Plans feed into **AI Studio** for remedial content creation and are refined by **ClassTrack** classroom observations.

***

## Next Step

**Next →** See the [Workflow](/products/student-action-plan/workflow) to understand how inputs become personalized student plans.

## FAQ

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        "@type": "Question",
        "name": "How does CrazyGoldFish turn multimodal evaluation results into Student Action Plans?",
        "acceptedAnswer": {
            "@type": "Answer",
            "text": "The platform evaluates text, handwriting, audio, and video using rubric/model-answer logic. Results flow into the Student Action Plan APIs to generate goals, grouped reteach strategies, and extension pathways. Teachers can review and edit plans via a human-in-the-loop step before publish."
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            "text": "Enable approvals at publish time and flag edge cases for quick validation. Reviewers can confirm, edit, or override scoring and plan recommendations, with audit logs preserved. You can also trigger rechecks and compare rubric versus model-answer outcomes."
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        "@type": "Question",
        "name": "Can we deliver Student Action Plans via a white-label embeddable UI or integrate through REST APIs and webhooks?",
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            "text": "Yes—choose a white-label embeddable UI for rapid rollout or connect via REST APIs and webhooks. Use sandbox/prod endpoints, pass metadata, and post multimodal submissions; then publish plan outputs to your LMS/ERP. Typical teams complete this in a 24h integration with no AI team required."
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        "@type": "Question",
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            "@type": "Answer",
            "text": "Inputs include multimodal submissions—handwritten scans, typed documents, audio, and video—evaluated against rubrics or model answers. Outputs include feedback JSON, annotated copies, and structured Student Action Plans with goals and grouped reteach strategies. Exports are designed for downstream reporting and LMS/ERP publishing."
        }
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        "@type": "Question",
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        "acceptedAnswer": {
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        }
    },
    {
        "@type": "Question",
        "name": "How does the system group learners by misconceptions and map reteach strategies inside Student Action Plans?",
        "acceptedAnswer": {
            "@type": "Answer",
            "text": "Evaluation insights identify common errors and misconceptions, then group learners for targeted reteach. The Student Action Plan surfaces strategies and extension work based on this grouping. Teachers can refine these groupings during review to fit classroom context."
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    {
        "@type": "Question",
        "name": "What accuracy and audit trails do Student Action Plans inherit from the evaluation pipeline?",
        "acceptedAnswer": {
            "@type": "Answer",
            "text": "Evaluations target 95% accuracy across subjective and objective tasks, which carries into plan generation. Human-in-the-loop checkpoints add accountability with rechecks and audit trails. Step-wise, rubric/model-answer reasoning keeps recommendations explainable."
        }
    },
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        "@type": "Question",
        "name": "How do we keep Student, Teacher, and Parent Action Plans in sync with LMS/ERP publishing?",
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            "@type": "Answer",
            "text": "Use APIs to publish synchronized Student, Teacher, and Parent Action Plans downstream after evaluation completes. Webhooks notify you when processing is done so you can update linked plans and push CBSE/ICSE/GDPR aligned exports together. Approval gates ensure consistency before LMS/ERP release."
        }
    },
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        "@type": "Question",
        "name": "What is the recommended 24h integration path to validate Student Action Plans without an AI team?",
        "acceptedAnswer": {
            "@type": "Answer",
            "text": "Start with sandbox keys and sample requests to wire evaluations to the Student Action Plan APIs. Embed the white-label UI or call REST endpoints, set review policies, and connect webhooks for processing-complete events. Most teams validate end-to-end in under a day—no AI team required."
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            "@type": "Answer",
            "text": "Yes. The Assignment Evaluation Suite natively ingests handwriting, audio, and video in addition to typed text, then normalizes outputs for plan generation. Multimodal support ensures Student Action Plans reflect all evidence types while remaining board- and privacy-aligned."
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  <Accordion title="How does CrazyGoldFish turn multimodal evaluation results into Student Action Plans?">
    The platform evaluates text, handwriting, audio, and video using rubric/model-answer logic. Results flow into the Student Action Plan APIs to generate goals, grouped reteach strategies, and extension pathways. Teachers can review and edit plans via a human-in-the-loop step before publish.
  </Accordion>

  <Accordion title="What human-in-the-loop review options are available before publishing Student Action Plans?">
    Enable approvals at publish time and flag edge cases for quick validation. Reviewers can confirm, edit, or override scoring and plan recommendations, with audit logs preserved. You can also trigger rechecks and compare rubric versus model-answer outcomes.
  </Accordion>

  <Accordion title="Can we deliver Student Action Plans via a white-label embeddable UI or integrate through REST APIs and webhooks?">
    Yes—choose a white-label embeddable UI for rapid rollout or connect via REST APIs and webhooks. Use sandbox/prod endpoints, pass metadata, and post multimodal submissions; then publish plan outputs to your LMS/ERP. Typical teams complete this in a 24h integration with no AI team required.
  </Accordion>

  <Accordion title="What inputs and outputs should we expect when generating Student Action Plans from the Assignment Evaluation Suite?">
    Inputs include multimodal submissions—handwritten scans, typed documents, audio, and video—evaluated against rubrics or model answers. Outputs include feedback JSON, annotated copies, and structured Student Action Plans with goals and grouped reteach strategies. Exports are designed for downstream reporting and LMS/ERP publishing.
  </Accordion>

  <Accordion title="How are Student Action Plans aligned to CBSE/ICSE curricula and GDPR data practices?">
    Plans and reports are CBSE/ICSE/GDPR aligned, mapping to board expectations and privacy practices. Compliance-friendly logs and exports support institutional governance and audits. Role-based oversight via human-in-the-loop keeps educators in control.
  </Accordion>

  <Accordion title="How does the system group learners by misconceptions and map reteach strategies inside Student Action Plans?">
    Evaluation insights identify common errors and misconceptions, then group learners for targeted reteach. The Student Action Plan surfaces strategies and extension work based on this grouping. Teachers can refine these groupings during review to fit classroom context.
  </Accordion>

  <Accordion title="What accuracy and audit trails do Student Action Plans inherit from the evaluation pipeline?">
    Evaluations target 95% accuracy across subjective and objective tasks, which carries into plan generation. Human-in-the-loop checkpoints add accountability with rechecks and audit trails. Step-wise, rubric/model-answer reasoning keeps recommendations explainable.
  </Accordion>

  <Accordion title="How do we keep Student, Teacher, and Parent Action Plans in sync with LMS/ERP publishing?">
    Use APIs to publish synchronized Student, Teacher, and Parent Action Plans downstream after evaluation completes. Webhooks notify you when processing is done so you can update linked plans and push CBSE/ICSE/GDPR aligned exports together. Approval gates ensure consistency before LMS/ERP release.
  </Accordion>

  <Accordion title="What is the recommended 24h integration path to validate Student Action Plans without an AI team?">
    Start with sandbox keys and sample requests to wire evaluations to the Student Action Plan APIs. Embed the white-label UI or call REST endpoints, set review policies, and connect webhooks for processing-complete events. Most teams validate end-to-end in under a day—no AI team required.
  </Accordion>

  <Accordion title="Can Student Action Plans handle handwritten, audio, and video responses alongside typed answers?">
    Yes. The Assignment Evaluation Suite natively ingests handwriting, audio, and video in addition to typed text, then normalizes outputs for plan generation. Multimodal support ensures Student Action Plans reflect all evidence types while remaining board- and privacy-aligned.
  </Accordion>
</AccordionGroup>
