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Irtiqaa evidence that took weeks of manual compilation per annual inspection now happens automatically - every term, not just before inspection



3/6 Domains
Irtiqaa domains supported with system-generated evidence
ADEK inspects every Abu Dhabi private school annually under the Irtiqaa framework, which evaluates six performance domains. GradeLab feeds directly into assessment quality, data-driven self-evaluation, and student feedback indicators | producing system-generated evidence that speaks to the inspector, term after term.
See Domain MappingEach capability mapped to GradeLab's automated pipeline and the manual legacy process - green means covered, red means a gap.
| Capability | GradeLab (Automated) | Manual / Legacy | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Marks Capture | AI Grading | Feedback Engine | Trends & Reports | Audit Trail | Spreadsheets | Faculty Entry | Cohort Sheets | Manual Recompute | Static PDFs | |
| Assessment Consistency | Rubric-locked | Consistency check | Variance report | Term trends | Override logged | No rubric | Ad hoc | No check | Inconsistent | Opaque |
| Assessment Data for Teaching | Digital + handwritten | Per-question | Mistake clusters | Topic trends | Item analysis | Manual pivot | Hand-typed | Anecdotal | No trend | Static list |
| Student Feedback Quality | Per-question | AI feedback | With results | Delivery tracked | Logged | Delayed | Generic | Weeks later | No tracking | No log |
| Attainment Reliability | Per-student | Rubric-anchored | Bias-reduced | Term trends | Reproducible | Teacher variance | Hand-graded | Bias risk | No trend | Inconsistent |
| Self-Evaluation Data | Live dashboards | Per-student data | Attainment trends | Multi-cycle | Inspection-ready | Manual pivot | Hand-typed | Inconsistent | Single cycle | Static list |
| Risk Management Evidence | No training | Teacher-in-loop | RBAC + encryption | Audit trail | Dossier ready | Unknown vendor | No oversight | No RBAC | No trail | Retroactive |
| Curriculum Adaptation | Score distribution | AI clustering | Topic weak spots | Per-term | Validated | Manual count | Inconsistent | No standard | Not tracked | Static chart |
| Cross-Emirate Evidence | One pipeline | Both frameworks | Shared data | Dual evidence | Consistent | Separate | Duplicated | Inconsistent | Double effort | Fragmented |
The same assessment infrastructure that produces NAAC and KHDA evidence applies directly to ADEK\u2019s performance domains. Framework-specific mapping below.
The core domain | inspectors assess teaching quality, assessment practices, and use of data to drive instruction
| What Inspectors Evaluate | GradeLab Feature | Evidence Produced |
|---|---|---|
| Consistency and fairness of assessment | Rubric EnforcementConsistency CheckAI Confidence Scoring | Every script graded against the same rubric; grading variance measured via re-grade consistency checks; per-script audit trail with override reasoning |
| Assessment data informing teaching | Common Mistakes ClusteringLearning InsightsAI Q&AItem Analysis | AI-clustered recurring mistake patterns; topic-level weakness identification; teachers query "which concepts need re-teaching?" and get data-backed answers |
| Quality of feedback to students | Per-Question FeedbackStructured FeedbackOverall Feedback | Strengths, mistakes with corrections, improvement pointers | per question, per student; feedback delivered with results |
| Curriculum adaptation from results | AnalyticsPer-Question AnalysisGrade Distribution | Performance distributions, question difficulty classification, topic-level weak spots | curriculum adjustments grounded in actual assessment data |
Attainment and progress across subject areas; internal assessment accuracy as a cross-cutting input
| What Inspectors Evaluate | GradeLab Feature | Evidence Produced |
|---|---|---|
| Reliability of internal attainment data | Consistency CheckAudit TrailStudent Performance | Rubric-enforced, bias-reduced grading → internal assessment data that ADEK inspectors can trust as a reliable measure | not teacher-by-teacher guesswork |
| Progress tracking across terms | Exam ReportStudent HistoricalClass Statistics | Term-by-term performance; per-student progress visible across cycles; class-level comparisons from internal exams |
Self-evaluation, improvement planning, data infrastructure, governance, and resource management
| What Inspectors Evaluate | GradeLab Feature | Evidence Produced |
|---|---|---|
| Data-driven self-evaluation | Longitudinal DashboardsLearning InsightsAI Q&A | "Show us your assessment improvement over the last three inspection cycles" | answered from live system data, not recollection |
| Management of risks (data protection, digital safety) | RBACAudit LogsData EncryptionTeacher-in-Loop | No model training on student data; full audit trail; granular RBAC; encryption at rest and in transit; compliance dossier feeds the school’s risk-management evidence file |
Students’ personal and social development, curriculum design, safeguarding, and student support
| What Inspectors Evaluate | GradeLab Feature | Evidence Produced |
|---|---|---|
| Personal development, curriculum design, safeguarding | N/A | GradeLab doesn’t teach personal development outcomes, design curriculum, or manage safeguarding directly. The compliance posture around data protection and teacher-in-the-loop provides some indirect support for Protection & Care’s digital safety indicators, but we’re transparent about where we contribute and where we don’t. |
Irtiqaa evidence that took weeks of manual compilation per annual inspection now happens automatically - every term, not just before inspection



3/6 Domains
Irtiqaa domains supported with system-generated evidence
System-generated audit trails per script with override reasoning - ADEK inspector-verifiable on demand
100%
Inspection-ready
Per-script audit trail
Compliance dossier
Data encryption
Teacher-in-loop
Longitudinal dashboards across inspection cycles, assessment quality trends, and self-evaluation data - all visible, all auditable



Cycle 1 → Cycle 3
Assessment quality improvement trend
If your school group operates across Dubai and Abu Dhabi, the same GradeLab deployment produces evidence for both inspection frameworks.
| Dimension | KHDA DSIB (Dubai) | ADEK Irtiqaa (Abu Dhabi) |
|---|---|---|
| Inspection cadence | Annual to biennial (stronger schools enjoy longer cycles) | Annual for all private schools |
| Performance scale | Outstanding → Very Good → Good → Acceptable → Weak → Very Weak | Comparable multi-level rating scale across six domains |
| Assessment quality indicators | Standard 3: consistency, feedback quality, data-driven instruction | Domain 3: same assessment-quality evidence, same mapping |
| Data for self-evaluation | Standard 6: leadership uses data for improvement planning | Domain 6: same data-for-leadership indicators |
| Safeguarding / digital safety | Standard 5: AI vendor posture feeds safety evidence | Domain 5: same compliance evidence applies |
| GradeLab coverage | 3 of 6 standards directly supported | 3 of 6 domains directly supported |
One deployment. Two inspection frameworks. The same rubric-enforced grading, per-script audit trails, and longitudinal dashboards feed evidence into both KHDA and ADEK submissions. Your assessment infrastructure doesn\u2019t need to know which regulator is visiting next | the evidence is already accumulating in the system.
GradeLab is not a whole-school solution. We contribute strongly to assessment quality, feedback, and data-driven leadership | but we don\u2019t teach Arabic, manage behavior, design curriculum, or run safeguarding programs. We\u2019re transparent about the domains we touch and the domains we don\u2019t. Same honest-fit discipline across every framework.
The Irtiqaa framework for Abu Dhabi schools is structurally similar to Dubai’s DSIB | both evaluate whole-school quality across comparable domains. The key difference: ADEK is more centralized and regulatory. Abu Dhabi schools tend to follow ADEK directives more tightly because ADEK controls licensing. The evidence GradeLab produces | rubric consistency, audit trails, feedback delivery logs, longitudinal data | maps onto the same assessment-quality, data-for-leadership, and student-feedback indicators that both frameworks inspect.
Yes. If your school group operates across Dubai and Abu Dhabi, the same GradeLab deployment produces evidence for both inspection frameworks. One deployment. Two inspection frameworks. The same rubric-enforced grading, per-script audit trails, and longitudinal dashboards feed evidence into both ADEK and KHDA submissions. Your assessment infrastructure doesn’t need to know which regulator is visiting next | the evidence is already accumulating in the system.
GradeLab directly supports 3 of 6 Irtiqaa performance domains: Teaching and Assessment (Domain 3, the anchor), Leadership and Management (Domain 6), and indirectly Students’ Achievement (Domain 1) through reliable internal assessment data. Personal Development, Curriculum, and Protection & Care (Domains 2, 4, 5) are outside our scope, with the exception of indirect digital safety evidence from our compliance posture.
Yes. GradeLab arrives with a proactive compliance dossier: no model training on student data (contract-grade), teacher-in-the-loop on every final mark, full audit trail per script, RBAC with 60+ granular permissions, encryption at rest and in transit, and signature-ready DPA and DPIA templates. This feeds directly into the school’s risk-management evidence file under Domain 6.
No. GradeLab is not a whole-school solution. We contribute strongly to assessment quality, feedback, and data-driven leadership | but we don’t teach Arabic, manage behavior, design curriculum, or run safeguarding programs. We’re transparent about the domains we touch and the domains we don’t. Final inspection ratings depend on ADEK’s judgment across all six domains.
Whether ADEK visits next month or next year, your assessment data is already building the inspection file - system-generated, audit-grade, and ready.
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