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The Teacher Action Plan API powers the Personalization Layer for educators. It converts evaluation outputs into grouped insights, reteach strategies, and extension content, enabling efficient classroom remediation.

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Step-by-Step Flow

1

Input (Upstream)

  • Ingests results from Exam Evaluation and Assignment Evaluation Suites.
  • Inputs include class-level scores, question breakdowns, rubric mismatches, and misconception clusters.
2

Process

  • Cluster students by shared errors and learning gaps.
  • Map groups to reteach strategies aligned with curriculum competencies.
  • Suggest extension content for advanced learners.
3

Output (Downstream)

  • Structured teacher plan with:
    • Grouping data (students clustered by misconception).
    • Reteach strategies per group.
    • Extension pathways for high performers.
  • Plan data flows into AI Studio to auto-generate reteach lesson plans, worksheets, and group practice activities.
  • Results monitored by ClassTrack observation for teaching effectiveness.

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Ecosystem Integration

  • Upstream: Exam & Assignment Evaluation outputs.
  • Core: Teacher Action Plan API clusters class insights into reteach strategies + extensions.
  • Downstream: AI Studio generates group-specific lessons, while ClassTrack feedback loops refine future reteach plans.

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Next Step

Next → Explore Use Cases to see how Schools, Tutoring Platforms, and LMS/ERPs implement Teacher Action Plans.

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FAQ

The workflow consumes evaluation outputs (scores, rubric/model‑answer alignment, and step‑wise marking) to cluster students by misconceptions and recommend targeted reteach strategies. It also routes extensions for high performers so differentiation is built in. Plans are delivered via Action Plan APIs or a white‑label UI with human‑in‑the‑loop controls for review and approval.
Teacher Action Plans include grouped reteach strategies, targets and milestones, and extension pathways derived from the latest assessments. They surface cohort‑level insights so teachers can sequence instruction quickly, and are export‑ready for LMS/ERP workflows. The structure is curriculum‑aligned and designed for immediate classroom use.
Clustering is driven by grouped error insights from the evaluation layer, which applies rubric/model‑answer scoring across multimodal submissions. These signals identify common misconceptions and learning gaps at a cohort level. The result is actionable groupings that map to precise reteach strategies.
Yes. The workflow is human‑in‑the‑loop—teachers can review, edit, and approve plan recommendations with audit trails for accountability. This preserves educator judgment while maintaining consistency and transparency at scale.
Teacher Action Plans feed AI Studio to generate curriculum‑aligned lesson plans, worksheets, and assessments aligned to the identified gaps. Educators remain in control—accepting or editing the generated materials—so pedagogy stays authentic while the system accelerates planning.
ClassTrack analyzes classroom sessions for pedagogy, engagement, and pacing, then feeds insights back into the next cycle of plans. This closes the Evaluate → Personalize → Generate → Observe loop, ensuring reteach strategies and materials are refined by real classroom evidence.
You can consume Teacher Action Plans via Action Plan APIs as part of the broader REST integration surface, or deploy a white‑label embeddable UI. Webhooks can notify downstream systems when evaluations complete and plans are ready. Both options keep your UX intact while adding plan delivery and governance features.
Plans and generated content are aligned to board structures (CBSE/ICSE) and shipped with privacy‑by‑design controls that are GDPR aligned. Role‑based access, export‑ready reports, and audit trails help institutions meet compliance needs while keeping teachers in control via review gates.
Platforms typically retrieve plans via APIs alongside export‑ready reports for audits and dashboards for stakeholders. The workflow pairs well with evaluation outputs (scores, feedback JSON, annotated copies) to provide transparent traceability from evidence to action. A white‑label UI can render plans natively within your product.
Because the evaluation layer handles multimodal work—typed responses, handwriting, diagrams, audio, and video—the plan logic reflects a fuller picture of student understanding. Misconception grouping and strategy recommendations are grounded in diverse evidence, improving the precision of reteach and extension activities.