// ACTION.PLANS

    One Evaluation. Three Action Plans. Every Student Covered.

    From one evaluation event: a student remediation plan, a tiered teacher intervention, and a parent activity pack — structured, simultaneous, delivered via API.

    // EVAL.COMPLETE → PLANS.GENERATED

    eval_id: EVAL_8821

    students_eval: 32

    questions_eval: 26

    STUDENT.PLANremedial: 4 | reinforcement: 2 | challenge: 1
    TEACHER.PLANtier_1: class | tier_2: 3 groups | tier_3: 2 individual
    PARENT.PLANactivity_pack: GENERATED | plain_language: ✓

    // FIELD.VALIDATION

    93%
    Scoring Reliability (ICC)
    90%+
    Feedback Accuracy
    Up to 60%
    Reduction in Evaluation Time
    Phase 1 validated; India AI Impact Summit 2026 Compendium, MeitY

    // THE.SYSTEM

    Personalisation Infrastructure, Not a Recommendation Layer

    STUDENT.PLAN

    action_types: Remedial · Reinforcement · Challenge

    per_question:

    content_routing: video | worksheet | MCQ

    confidence_booster: ✓ included

    TEACHER.PLAN

    tier_1: whole class reteach

    tier_2: small group + student IDs

    tier_3: individual remediation

    coverage: 100% students mapped

    PARENT.PLAN

    format: plain language

    gap_context: ✓ included

    activity_pack: Content Builder API

    trigger: auto on eval complete

    // all three plans generated simultaneously — delivered via API at eval completion · part of evaluation infrastructure

    // CAPABILITIES

    Three Plans. Three Action Frameworks. One Pipeline.

    STUDENT.PLAN

    Individual Learning Direction

    → Remedial, Reinforcement, or Challenge per question

    → Overall insight + confidence booster tip

    → Content type tag per action (video / worksheet / MCQ)

    TEACHER.PLAN

    Tiered Class Intervention

    → Tier 1: whole-class reteach

    → Tier 2: small group with specific student IDs

    → Tier 3: individual remediation

    PARENT.PLAN

    Engagement Activity Pack

    → Plain-language gap explanation

    → At-home activity pack via Content Builder API

    → Aligned to student's actual evaluated gaps

    Content Routing Built In

    Every action outputs a content_type tag — video, worksheet, MCQ, activity pack — your content system can consume directly via API.

    100% Student Coverage by Design

    Every student in the evaluation is mapped to at least one teacher plan action. Coverage is a design constraint, not a best-effort outcome.

    // HOW.IT.WORKS

    From One Evaluation Signal to Three Structured Outputs

    01

    Signal Capture

    Per-criterion evaluation — score, confidence, gap flags, error type

    02

    Classification

    Remedial (delta ≤3) · Reinforcement (3–7) · Challenge (>7)

    03

    Simultaneous Plan Generation

    Student plan, teacher plan, parent plan — generated in parallel

    04

    Structured Learning Intelligence Output

    All three plans returned via API — routed per stakeholder destination

    EVAL_8821→ PLANS.GENERATING...

    STUDENT.PLAN ✓

    answer_sheet_id: c0f312dc...7ae7

    overall_action_type: Remediation

    Q5 → Remediation — review separation techniques

    Q7 → Reinforcement — revisit mixture properties

    confidence_booster: ✓ included

    TEACHER.PLAN ✓

    concept: Separation Techniques

    tier_1: whole-class reteach (18 students)

    tier_2: small group — [S04, S07, S12, S19]

    tier_3: individual — [S07]

    coverage: 32/32 students mapped

    PARENT.PLAN ✓

    student: Govardhani

    gap_context: separation techniques, mixture properties

    activity_pack: GENERATED

    via: Content Builder API

    // WHY.THIS.WORKS

    Built for Platforms Where Learning Direction Decisions Matter.

    HUMAN.IN.THE.LOOP

    Teacher is the control point.

    AI handles volume. Teachers govern outcomes. Every evaluation is human-in-the-loop by design — not an optional setting, a structural requirement built into the pipeline. The rubric is yours. The override is yours. The publish gate is yours.

    FULL.AUDIT.TRAIL

    Every evaluation is auditable.

    Full signal trail on every response. Every override logged with reviewer ID, timestamp, and delta. Every decision traceable to the evaluation that triggered it. Nothing moves through the system without a record.

    INSTITUTIONAL.VALIDATION

    Validated at India AI Impact Summit 2026.

    Published in the MeitY Compendium. Results independently reviewed and presented at national level — not self-reported benchmarks. Third-party institutional credibility with a public record.

    HUMAN.IN.THE.LOOP

    Policy-aware. Human-verified. Infrastructure-grade.

    CGF's evaluation system is human-in-the-loop by design. Teachers remain the control point — AI handles volume, humans handle governance. This is not an automation layer. It is evaluation infrastructure with built-in human authority at every control point.

    // GOVERNANCE

    Human-in-the-Loop at Every Control Point

    Action plans built on weak signals cause real harm. A teacher running the wrong intervention loses class time. A student practising a mastered concept isn't closing the gap they actually need to close. CGF's governance layer gates every low-confidence evaluation through human review before it enters the plan generation pipeline.

    Confidence-Gated Plan Delivery

    → plans withheld below confidence threshold

    → human review triggered automatically

    → no plan delivered without signal lock

    Teacher Override at Every Stage

    → action type editable per student

    → plan suppressed or escalated by teacher

    → override logged to full audit trail

    Full Signal-to-Plan Audit

    → eval signal → plan output logged

    → every override recorded with timestamp

    → exportable per student / per cohort

    // COMMON.QUESTIONS

    CGF's Action Plans product generates three simultaneous plans from every evaluation — a Student Action Plan (Remedial, Reinforcement, Challenge), a Teacher Action Plan (tiered class intervention by concept), and a Parent Engagement Activity Pack. All three use the same evaluation signals and are delivered via API. Scoring reliability: 93% ICC.

    What are the three Action Plans CGF generates?

    CGF generates three plans simultaneously from every evaluation: a Student Action Plan organising gaps by action type (Remedial, Reinforcement, Challenge), a Teacher Action Plan with tiered class interventions grouped by concept and student ID, and a Parent Action Plan translating evaluation signals into plain-language context and a structured activity pack generated via CGF's Content Builder APIs. All three are delivered via API at evaluation completion.

    What is the difference between Remedial, Reinforcement, and Challenge actions?

    CGF classifies every evaluated gap by action type based on the confidence delta — the measured gap between expected and actual performance. Remedial actions target concepts where the student needs to rebuild foundational understanding. Reinforcement targets concepts with partial grasp needing consolidation. Challenge targets concepts where the student is performing strongly and is ready to go further. The plan is a complete picture of where the student is and where they can go next.

    How does the teacher plan group students for intervention?

    The teacher plan uses a three-tier structure. Tier 1 covers whole-class re-teaching for concepts most of the class is struggling with. Tier 2 groups students who share the same misconception for small-group instruction, specifying which student IDs belong to each group. Tier 3 assigns individual remediation to the students who need the most intensive support. Every student in the class is mapped to at least one action — by design.

    What is the Parent Engagement Activity Pack?

    The Parent Action Plan translates a student's evaluation signals into plain-language context — what the student is working on, what the specific gap looks like, and what a parent can do at home. It connects to CGF's Content Builder API, which generates a subject-specific Parent Engagement Activity Pack: structured activities aligned to the student's actual evaluated gaps. Not a generic homework reminder — a content output grounded in the evaluation signal.

    How accurate are the signals that drive action plans?

    CGF achieves 93% reliability in total scoring alignment (ICC), ensuring gap signals reflect actual learner performance before they influence any plan. Structured feedback signals are delivered with 90%+ accuracy instantly. Low-confidence evaluations are held for human review before entering the plan generation pipeline — ensuring plans are only generated from signals you can trust.

    // NEXT.STEP

    Close the Loop for Every Stakeholder, Every Evaluation

    Student direction. Teacher intelligence. Parent engagement. Three structured action plans — generated simultaneously from evaluation signals, connected to content generation, at any scale, via API.

    See how evaluation becomes infrastructure.