MEASUREMENT ARCHITECTURE
What HEAT Measures
Three nested layers of analysis — from what is taught, to how it is taught, to whether graduates can compete.
Content Layer
Are the right things being taught?
Maps curriculum content against AI displacement risk, labour market demand, and disciplinary evolution. Produces the Programme Alignment Score (PAS).
Pedagogy Layer
Is teaching building durable skills?
Evaluates instructional strategies, assessment design, and cognitive demand. Determines whether teaching reinforces or undermines graduate competitiveness.
Cross-Cutting Capabilities
What survives the AI transition?
Tracks the transferable competencies — critical thinking, ethical reasoning, collaboration, and adaptive learning — that define long-term graduate value.
GOVERNANCE ACROSS THE CYCLE
Human in the Loop
HEAT produces decisions, not just data. Human validation is a governance feature spanning the cycle — not a separate measurement layer.
Faculty Review
Teaching staff validate preliminary diagnostic findings, surface context that data alone cannot capture, and flag disciplinary nuances before analysis is finalised.
Leadership Synthesis
Institutional leadership review aggregate findings, stress-test strategic implications, and align on the intervention priorities that will shape the final roadmap.
Student Validation
Student-facing evidence is reviewed with representative cohorts to confirm that the learning experience data reflects lived reality before conclusions are locked.
"The evidence empowers institutional judgment — it does not replace it."
SCORE 01 — PROGRAMME ALIGNMENT SCORE (PAS)
Are the right things being taught?
SCORE 02 — COGNITIVE-RELATIONAL COMPETITIVENESS INDEX (CRCI)
Is teaching building competitive graduates?
When lenses diverge, the divergence is a diagnostic signal — never averaged away.
SCORE TRAJECTORY 2021–2026
CURRICULUM DIAGNOSTIC PROFILE
Multi-dimensional competency mapping
STRATEGIC INTELLIGENCE
Diagnostic Matrix
ANALYTICAL PROCESS
Methodology
Institutional Scoping
Define the institutional unit, priorities, and constraints; identify the programmes to diagnose.
AI-Enabled HEAT Analysis
(A) Occupational task & skill-shift assessment; (B) content alignment scoring (PAS); (C) pedagogical effectiveness scoring (CRCI) across Faculty, Assessment, and Student lenses.
Action Alignment
Leadership synthesis, faculty engagement, and student validation of the intervention shortlist.
Programme Alignment Roadmap
Phased actions sequenced by urgency and feasibility, with student review for implementation realism.
