core analysis module

Instructor Scoring Layer

Translate objective execution signals into instructor-led evaluation without displacing human judgment. The Instructor Scoring Layer supports consistent, defensible assessment while preserving human authority over final decisions.

KEY CAPABILITIES
  • Signal-informed scoring support
  • Consistent evaluation anchors across instructors
  • Instructor override and annotation points
  • Separation of signal evidence from final instructor judgement
  • Structured inputs that support readiness scoring
instructional integrity

Why This Matters

Instructional evaluation often suffers from inconsistency, incomplete evidence, or retrospective bias. Different instructors may interpret the same execution differently, leading to disagreement, reduced trust, or unclear progression standards.

Without a shared reference point, scoring becomes subjective even when telemetry exists. This undermines after-action learning and introduces risk into readiness decisions.

The Instructor Scoring Layer provides a structured foundation for evaluation while keeping instructors firmly in control. Signals inform judgment. They do not replace it.

What Becomes Anchored

This module establishes a clear boundary between observable behavior and instructional decision-making.
Evaluation Anchors Exposed
  • Signal-derived evidence tied to execution
  • Consistent reference points across instructors
  • Clear distinction between signal and interpretation
  • Time-stamped behavioral context for review
Decisions This Enables
  • Fairer, more consistent scoring
  • Reduced instructor disagreement
  • Clearer feedback to trainees
  • Defensible progression and certification decisions

How Teams Use This Layer

During training or evaluation
  • Review signal evidence alongside live observation
  • Apply consistent scoring standards
  • Override or contextualize signals with documented rationale
During review and progression
  • Anchor discussions in shared evidence
  • Reduce subjective drift across evaluators
  • Support promotion, certification, or remediation decisions
Integration snapshot

Integration & Deployment

Designed to support instructors without altering command or authority structures.

Data Interface
Inputs
  • Execution signals from Field IQ modules
  • Instructor-defined scoring parameters
  • Mission and training context metadata
Outputs
  • Structured scoring support objects
  • Signal-to-score mappings
  • Instructor annotations and overrides
  • Inputs for readiness scoring and reporting
Execution & Control
Deployment Models
  • Embedded within Field IQ deployments
  • Standalone Python module
  • Containerized service
  • Air-gapped compatible
Configuration
  • Scoring frameworks defined in configuration files
  • Instructor-adjustable weighting parameters
  • Core logic remains deterministic and auditable
Security
Instructor authority is preserved while evaluation becomes more consistent and defensible.
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