Item analysis
Item analysis and cohort reporting in the language of academic quality, not psychometric jargon
Assessment quality is no longer demonstrated by a syllabus. It's demonstrated by data — item analysis, cohort outcomes, marking consistency, an audit trail per decision. NUADU produces that documentation as a by-product of running your exams, not as a project three months before the visit.
Item analysis and cohort reporting in the language of academic quality, not psychometric jargon
Every AI output, override and approval logged, exportable, reviewable
Verifiable digital certificates with QR — employers and receiving institutions check in seconds
Integrates with your LMS, SIS and SSO — no parallel record-keeping
EU AI Act-ready: human oversight, logging and documentation built into the workflow. GDPR and FERPA posture documented, DPA ready to sign
Tanjung Duren Utara, West Jakarta · Students: Relatively small community (undergraduate, graduate, professional programs) · Since: January 2020
Monthly English proficiency test as a requirement for final-year students before thesis defense
“NUADU provided a solution for students to take tests online during the pandemic, with a platform that was quite easy to learn.”
— Averina Purnomo, UKRIDA
A quiz tool that can't handle constructed response. A marking tool that doesn't talk to the LMS. A reporting system that produces dashboards but not evidence. Each one solves a slice. None of them respect the assessment workflow that an academic department actually runs — authoring, moderation, second marking, external examination, appeals.
Meanwhile, the institution's QA office is being asked to approve new AI tools that nobody can fully describe, and the DPO is being asked to sign off on biometric proctoring without a DPIA. The result is a stack of point tools that don't add up to a workflow — and growing institutional risk.
An assessment platform should fit the workflow, not the other way round. And it should make institutional review easier, not harder.
Author manually, import from your bank, or use AI as a drafting assistant. Every item carries a named approver.
With AI assistance on, drafts are prepared for the marker, who reviews, overrides and signs off.
Bloom's, CEFR, EQF, custom frameworks. Alignment is proposed by AI, confirmed by the educator.
Aggregated patterns for programme decisions. Individual signals framed for tutor outreach — never as labels.
QR-verifiable, independently checkable. Employers and receiving institutions check in seconds.
After a result, proposes a practice route addressing the rubric criteria where the learner scored lowest. Learner opts in. Drafted from approved content; not a profile — never as labels.
A learner-controlled, opt-in companion for practice. Bounded to the learner's recent work and approved content. The learner controls when it is on, sees the data it uses, and can switch it off. Never used as a label.
AI as a drafting assistant for authoring and a documented second rater for marking. The educator decides. Turnaround time improves; the rubric and sign-off don't change.
2–3 weeks · First full exam deploymentRubric-anchored feedback. The marker's name on the result. Documented appeals process. Optional, learner-controlled study companion — never pervasive profiling.
Rubric-anchored feedbackOne platform across the assessment lifecycle for faculties and the Quality Assurance office. Same rubric, same audit trail. Documentation ready for accreditation and academic governance.
1 platform, 1 audit trailFrom Monday's formative quiz to June's final examination.
A short check-in during the lesson. Switch on AI assistance and it drafts candidate items from yesterday's reading for you to review, edit and approve. Marking happens as soon as the window closes. The educator sees the cohort pattern before the next class.
Multi-section, timed exams with mixed item types. Identity verification at exam start. Lockdown browser. AI-assisted marking with marker sign-off. Same rubric used for authoring, marking and feedback.
Speaking, writing, listening, reading. Speaking responses transcribed and scored against the framework rubric. Markers review at audio level. CEFR-aligned per-criterion profile to the candidate.
Each item connected to a specific intended learning outcome. NUADU tracks evidence of attainment across rubric criteria over time. The academic team reviews and decides on progression — the system does not.
Authoring, moderation, marking, second marking, appeals — the workflow you already run. AI sits inside it; it doesn't replace it.
The same rubric authors the item, marks the response, and structures the feedback. No translation losses, no separate systems.
Integrates with your LMS, SIS and SSO — no parallel record-keeping. Works with the systems your institution already runs.
Documentation pack covering methodology, retention, data flows and DPIA template. Designed to make institutional review easier.
A 30-minute conversation about your assessment evidence and quality workflow.