The System
The Academic Process
Academic quality assurance in higher education is a system of ten interconnected processes. When they are structured, data-driven, and iterative, they produce graduates genuinely prepared for the world they will enter. When they are manual, ad hoc, and disconnected, they produce the gap between what institutions promise and what they deliver.
Prepared by Ramesh Bhat — Formerly: Professor, IIM Ahmedabad and Vice Chancellor, SVKM’s NMIMS Deemed-to-be University.
Process 01
01Curriculum Development
- What it is
- The design of a programme’s intellectual architecture — Programme Learning Objectives (PLOs), module structure, credit weights, sequencing.
- Decision logic
- PLOs must be written using observable verbs (Bloom’s), cover all four KASH dimensions, and connect explicitly to the institutional mission. Approved by Board of Studies and Academic Council.
- Data generated
- PLO documentation, BoS minutes, benchmark analysis.
- Connects to
- Process 2 — each PLO must be developed by specific courses.
Process 02
02Course Outline Design
- What it is
- The translation of PLOs into specific, measurable Course Learning Outcomes (CLOs), with learning activities, resources, and assessment methods.
- Decision logic
- Every CLO must use an observable action verb, include a measurable criterion (e.g. 80% of students achieving 65%+), and map explicitly to at least one PLO.
- Data generated
- Course outline documents, CLO–PLO mapping tables, resource currency audit.
- Connects to
- Process 3 (vetting against Bloom’s) and Process 5 (implementation).
Process 03
03Curriculum Benchmarking
- What it is
- Systematic review of curriculum content, learning outcomes, and assessment standards against industry practice, international peers, and Bloom’s Taxonomy.
- Decision logic
- Textbooks more than 5 years old in rapidly evolving fields require justification. CLOs at only Knowledge/Understanding level require revision to higher orders.
- Data generated
- Benchmarking reports, Bloom’s compliance scores, revision recommendations.
- Connects to
- Process 1 (PLO review) and Process 4 (BoS governance).
Process 04
04Industry & Stakeholder Engagement
- What it is
- Structured engagement with industry partners, alumni, employers, and professional bodies — through BoS, surveys at 1/3/5 years post-graduation, advisory panels.
- Decision logic
- BoS meetings must be preceded by a structured concept note. Every BoS must include employer and alumni representation. Recommendations are tracked to implementation.
- Data generated
- BoS minutes, alumni and employer surveys, gap reports.
- Connects to
- Process 1 (PLO revision) and Process 9 (indirect measures).
Process 05
05Curriculum Implementation
- What it is
- Translation of agreed course outlines into actual classroom delivery — session planning, pedagogy selection, scheduling, resource use.
- Decision logic
- Every session plan must identify the CLOs being addressed, the Bloom’s level targeted, and the pedagogical approach. Visiting faculty must be briefed before delivery.
- Data generated
- Session delivery logs, attendance, cancellation/rescheduling data.
- Connects to
- Process 6 (MPC coordination) and Process 7 (assessment readiness).
Process 06
06Multi-division Programme Coordination (MPC)
- What it is
- Three-stage coordination ensuring consistency across divisions: pre-course (Form A), in-course (≥5 meetings/sem; Form B monthly), post-course (BEA fed forward).
- Decision logic
- Any divergence from the agreed outline is escalated. ICA completion below 30% by mid-semester triggers review. Declining ICA across two components flags at-risk students.
- Data generated
- Form A and Form B records, ICA completion rates, cross-division consistency.
- Connects to
- Processes 5, 7, 8.
Process 07
07Assessment Design
- What it is
- Robust, fair, transparent ICA components and TEE papers that accurately measure student achievement of CLOs.
- Decision logic
- Mark distributions with σ < 5 indicate compressed distribution and insufficient higher-order coverage. Re-evaluation rates above 20% trigger assessment design review.
- Data generated
- ICA blueprints, rubrics, examination papers, mark distributions, re-evaluation rates.
- Connects to
- Process 8 (feedback) and Process 9 (outcome analysis).
Process 08
08Student Feedback & Mentoring
- What it is
- Rubric-referenced feedback within timeline; pre-assessment meetings; mid- and end-course surveys; Personal Tutor with three structured checkpoints per semester; three-tier support.
- Decision logic
- At-risk students receive proactive mentor contact within 5 working days. Absence above 20% in a course is automatically flagged. Mid-sem survey scores below 5.0 trigger Dean review.
- Data generated
- Feedback scores, mentor records, intervention logs, return-timeliness data.
- Connects to
- Process 9 (indirect measures) and Process 6 (MPC at-risk loop).
Process 09
09Outcome Analysis
- What it is
- Direct measures (CLO/PLO attainment, BEA, Bloom’s performance) triangulated with indirect measures (student, alumni, employer surveys, placements).
- Decision logic
- Any CLO with BEA findings for two consecutive semesters requires curriculum revision, not just assessment redesign. Indirect data must triangulate with direct data before conclusions.
- Data generated
- BEA reports, PLO attainment dashboards, programme performance reports.
- Connects to
- Process 10 and back to Process 1.
Process 10
10Strategic Action
- What it is
- Translation of analysis into concrete decisions: Academic Council, BoS, Dean review, faculty academic plans, research agenda.
- Decision logic
- Every BEA finding must result in a documented action with owner, timeline, and monitoring mechanism. BoS-approved actions are tracked through to implementation.
- Data generated
- Action plans, implementation tracking, revised curricula and PLOs.
- Connects to
- Restarts the cycle at Process 1, at a higher level.
The Agentic Architecture
Nine agents. Ten processes. One feedback loop that runs in weeks instead of semesters.
Monitors PLO–industry alignment; flags outdated content; benchmarks against standards.
Checks CLO quality against Bloom’s; validates PLO mapping; flags missing measurable criteria.
Synthesises alumni, employer, and BoS feedback; identifies graduate–market gaps.
Tracks session completion, attendance, resource usage; flags cancelled sessions and drift.
Monitors MPC completion, Form A quality, cross-division consistency.
Analyses mark distributions, Bloom’s compliance, re-evaluation rates.
Monitors ICA trajectories, attendance, submissions; triggers proactive mentor outreach.
Runs BEA on assessment data; generates PLO attainment dashboards.
Synthesises findings across all agents; proposes action plan priorities.
The Assurance-of-Learning loop currently takes a full semester to close manually. Operated as agents, the same loop runs weekly — with humans retaining authority at every governance point.
Working Reference
From framework to engagement.
The complete reference is the working document used inside AcademicOS engagements. To map your institution’s position against this system, begin a diagnostic or commission a full institutional reading.