Saturday, May 24, 2025

#7 Revised Parameters and Metrics for Universities

In NIRF, there are some drawbacks and limitations that can affect fairness and accuracy.

We may propose a Revised Framework that enhances fairness, transparency, innovation, competency, and inclusivity, while aligning with Outcome-Based Education (OBE). This model addresses previous drawbacks, removes biases, and adds modern metrics relevant to employability, pedagogy, and learning outcomes.


Revised Part – I Parameters and Metrics for Universities


1. Teaching, Learning, Pedagogy & Resources (TLPR) – 100 Marks

Code Parameter Marks Revised Focus
1(a) Faculty–Student Ratio with Full-Time Faculty (FSR) 15 Audit through biometric/AI tracking to prevent manipulation.
1(b) Faculty Qualification, Industry Experience & Pedagogy (FQE-P) 25 Include certifications, teaching innovation, blended learning.
1(c) Learning Resources & Digital Infrastructure (LRI) 30 Includes access to e-learning tools, LMS, open resources, smart classrooms.
1(d) Competency-Based Course Delivery (CCBD) 20 Mapped to course outcomes (COs) and program outcomes (POs) via OBE.
1(e) Sports, Cultural & Wellness Facilities (SCWF) 10 Weighted based on student feedback, not just physical facilities.

2. Research, Innovation, and Intellectual Capital (RIIC) – 100 Marks

Code Parameter Marks Revised Focus
2(a) Research Quality (Publication + Citations Normalized) 30 Weighted by impact factor, H-index, citation per faculty.
2(b) Innovation Outputs (Patents + Startups + Funding) 30 Commercialization, incubation success, societal impact.
2(c) Interdisciplinary and Industry Collaboration (IIC) 20 Joint projects, MoUs, consultancy, and joint courses.
2(d) Open Knowledge Contribution (OKC) 20 Contributions to open-source, MOOCs, OER, GitHub, etc.

3. Student Outcome & Employability (SOE) – 100 Marks

Code Parameter Marks Revised Focus
3(a) Graduate Examination and Pass Quality (GEPQ) 25 With Bloom’s taxonomy alignment and skill mastery.
3(b) Employability, Internships & Start-up Support (EIS) 30 Median salary, placement %, startup funding received.
3(c) Outcome-Based Education Score (OBE-S) 30 Mapping COs/POs using OBE rubric and feedback loop.
3(d) Higher Education and Competitive Exams (HECE) 15 GATE, NET, CAT, GRE, Civil Services, etc.

4. Inclusivity, Accessibility and Outreach (IAO) – 100 Marks

Code Parameter Marks Revised Focus
4(a) Regional, Gender and Social Diversity Index (RGSDI) 25 Calculated through weighted equity formula.
4(b) Support System for Disadvantaged & Differently Abled (SS-DDA) 25 Quality of support, scholarships, assistive tech, not just numbers.
4(c) Outreach Education, MOOCs and Lifelong Learning (OEM) 25 Number and effectiveness of continuing education programs.
4(d) Alumni and Community Engagement (ACE) 25 Alumni involvement, social impact projects, mentoring.

5. Perception & Trust Index (PTI) – 100 Marks

Code Parameter Marks Revised Focus
5(a) Peer & Industry Perception (PIP) 30 Employer surveys, recruiter ratings, MoU strength.
5(b) Student Satisfaction and Feedback System (SSF) 30 Direct student input on courses, teachers, campus.
5(c) Application-to-Seat Ratio + Retention Rate (ASRR) 20 Reflects desirability and satisfaction.
5(d) Transparency and Data Integrity Score (TDIS) 20 Based on third-party verified data, audit logs.

Key Enhancements Over Original System

Area Old Framework Revised Framework
Bias Removal Passive data from institutions Verified + AI-audited + feedback-driven
Innovation Minimal weight (IPR only) Weighted innovation + startup + collaboration
Pedagogy Ignored Included via FQE-P and OBE metrics
OBE & Competency Mapping Absent Central to scoring (mapped via rubrics & evidence)
Student-Centered Weak perception metric Detailed student satisfaction and employability
Transparency Self-reported Audit + AI tracking + transparency score

Revised Part - II - Weight Redistribution Table and Scoring Sheet Template

Here is a Weight Redistribution Table and Scoring Sheet Template for implementing the revised university ranking parameters in an academic audit. This format ensures alignment with Outcome-Based Education (OBE), transparency, and quality assurance.


Weight Redistribution Table (Summary)

Main Parameter Sub-Parameter Code Weight (Marks)
1. Teaching, Learning, Pedagogy & Resources (TLPR) Faculty–Student Ratio (FSR) 1(a) 15
Faculty Qualification, Industry Experience & Pedagogy (FQE-P) 1(b) 25
Learning & Digital Infrastructure (LRI) 1(c) 30
Competency-Based Course Delivery (CCBD - OBE) 1(d) 20
Sports, Cultural & Wellness Facilities (SCWF) 1(e) 10
Subtotal 100



2. Research, Innovation & Intellectual Capital (RIIC)

Main Category Sub-Category Code Weight (Marks)
Research, Innovation & Intellectual Capital (RIIC) Research Quality (RQ) 2(a) 30
Innovation Outputs (IPR + Startups) 2(b) 30
Interdisciplinary & Industry Collaboration (IIC) 2(c) 20
Open Knowledge Contribution (OKC) 2(d) 20
Subtotal 100

3. Student Outcome & Employability (SOE)

Main Category Sub-Category Code Weight (Marks)
Student Outcome & Employability (SOE) Graduate Exam & Pass Quality (GEPQ) 3(a) 25
Employability, Internship & Start-up Support (EIS) 3(b) 30
OBE-based Course Outcome Mapping (OBE-S) 3(c) 30
Competitive Exams & Higher Studies (HECE) 3(d) 15
Subtotal 100

4. Inclusivity, Accessibility & Outreach (IAO)

Main Category Sub-Category Code Weight (Marks)
Inclusivity, Accessibility & Outreach (IAO) Diversity Index (RGSDI) 4(a) 25
Support System for Disadvantaged Groups (SS-DDA) 4(b) 25
Outreach, MOOCs & Lifelong Learning (OEM) 4(c) 25
Alumni & Community Engagement (ACE) 4(d) 25
Subtotal 100

5. Perception & Trust Index (PTI)

Main Category Sub-Category Code Weight (Marks)
Perception & Trust Index (PTI) Peer & Employer Perception (PIP) 5(a) 30
Student Feedback & Satisfaction (SSF) 5(b) 30
Application-Seat Ratio & Retention (ASRR) 5(c) 20
Transparency & Data Integrity (TDIS) 5(d) 20
Subtotal 100

| 🏁 GRAND TOTAL                                                                                           | | | 500 Marks |


📊 Scoring Sheet Template for Academic Audit

Parameter Sub-Parameter Code Evidence Source Score (Out of XX) Auditor's Remarks
TLPR 1(a) Faculty–Student Ratio 1(a) HR records, Biometric logs /15
TLPR 1(b) Faculty with Experience & Pedagogy 1(b) CVs, FDPs, Pedagogy training /25
TLPR 1(c) Library & Digital Resources 1(c) LMS, E-journals, ICT tools /30
TLPR 1(d) OBE-linked Course Design 1(d) CO-PO mapping sheets /20
TLPR 1(e) Student Activity Records 1(e) Sports/cultural schedules /10
Category Sub-Parameter Code Evidence Source Max Score Auditor's Remarks
RIIC Research Quality 2(a) Scopus, WoS, H-index data /30
RIIC Patents/Startups 2(b) IPR filings, startup reports /30
RIIC Interdisciplinary Projects 2(c) MoUs, project docs /20
RIIC MOOCs/GitHub/OERs 2(d) URLs, records /20
Category Sub-Parameter Code Evidence Source Max Score Auditor's Remarks
SOE Exam Results Quality 3(a) Exam board reports /25
SOE Placement & Internship 3(b) T&P Cell data /30
SOE OBE Assessment Score 3(c) Attainment reports /30
SOE Higher Study Exam Results 3(d) Proof from students /15
Category Sub-Parameter Code Evidence Source Max Score Auditor's Remarks
IAO Diversity Data 4(a) Admission database /25
IAO Facilities for Disadvantaged 4(b) Audit report, tools, policies /25
IAO Outreach/Lifelong Programs 4(c) Extension office records /25
IAO Alumni & Social Outreach 4(d) Alumni office data /25

Category Sub-Parameter Code Evidence Source Max Score Auditor's Remarks
PTI Peer/Employer Rating 5(a) Survey results /30
PTI Student Feedback 5(b) Collected digitally /30
PTI Application-Seat Ratio 5(c) Admission data /20
PTI Transparency/Integrity Score 5(d) Third-party verified data /20

🔁 Final Reporting Sheet (Summary)

Category Total Marks Marks Awarded % Score
TLPR 100 ____ ____%
RIIC 100 ____ ____%
SOE 100 ____ ____%
IAO 100 ____ ____%
PTI 100 ____ ____%
Grand Total 500 _______ _______%

Model Excel format for direct use by audit teams:

https://docs.google.com/spreadsheets/d/1UGdF3dz0ojRYKDoHIIIQr-vp-9K-JCMV/edit?usp=drive_link&ouid=107023064021447656547&rtpof=true&sd=true


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FQE-P stands for:

Faculty Qualification, Industry Experience & Pedagogy

It is a modified version of the earlier FQE (Faculty with PhD and Experience) metric. This updated metric adds pedagogical skills and industry exposure into the evaluation.


🔍 Breakdown of FQE-P:

Component Description Example Evidence
Faculty Qualification % of faculty with PhD, M.Tech/MBA, or equivalent Degree certificates, HR data
Industry Experience Faculty with relevant work in industry, research labs, startups Experience letters, resumes
Pedagogical Training Completion of pedagogy-related FDPs, MOOCs (e.g., SWAYAM/NPTEL) FDP/MOOC certificates
Innovative Teaching Methods Use of flipped classrooms, case-based learning, ICT tools Lesson plans, LMS usage

🎯 Purpose:

  • Encourage teaching excellence, not just academic qualification.

  • Promote practical industry knowledge among faculty.

  • Aligns with Outcome-Based Education (OBE) goals.

  • Incentivizes innovative teaching practices.

Let me know if you want a sample evaluation rubric for FQE-P.



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