AI assessment platform — generate, deliver and analyse exams
An AI assessment platform handles the full assessment cycle: drafting questions from your source material, delivering them under controlled conditions, marking them, and analysing the results — including the quality of the questions themselves. The analysis half is what separates a serious platform from a quiz tool, because a test you cannot evaluate is a test you cannot improve.
The four stages, and where AI genuinely helps
Authoring: a model drafts items from your notes and past papers, which a subject expert then edits. This is where the time saving is largest and least controversial. Delivery: the platform runs the paper under timing and proctoring conditions that mirror the real exam. Marking: objective items are automatic, written answers can be assisted but should not be autonomous. Analysis: the platform reports on both learner performance and item quality. AI earns its place decisively in stage one and stage four; in stage three it should be advisory, and any vendor claiming otherwise is overselling.
Item analysis — the part most buyers overlook
Every assessment platform reports scores. Fewer report on the questions. Discrimination indicates whether an item actually separates strong candidates from weak ones; an item that everybody gets right, or that strong and weak candidates get wrong at similar rates, is measuring nothing and should be retired. Difficulty tells you whether a paper landed where you intended. Without these, a question bank silently accumulates bad items for years, and the certificate it produces slowly stops meaning anything — which matters most precisely for the organisations whose reputation rests on their pass rate.
How much proctoring is proportionate
Remote proctoring runs from a fullscreen lock through tab-switch detection to continuous webcam monitoring and identity verification. More is not automatically better. Heavy monitoring carries a real privacy cost, is unpleasant for honest candidates, and in several jurisdictions raises data-protection questions that are your obligation to answer, not the vendor’s. Match the level to the stakes: a weekly practice test and a certification exam do not warrant the same regime.
Where AI-generated questions fall down
A model drafting from your material will produce items that are grammatically clean and occasionally wrong — a plausible distractor that is actually also correct, a question whose answer depends on a passage it did not retrieve, a subtly ambiguous stem. Generation is a drafting tool that collapses the blank-page problem, not a replacement for review. Any platform that encourages you to publish generated items unreviewed is creating a problem that surfaces at the worst possible moment.
How Sikgen AI does this
Questions drafted from your own papers
Upload past papers, notes and slides; the platform proposes items in your format for a subject expert to approve.
Papers that mirror the real interface
Timed, fullscreen-proctored mocks rendered to match the exam your candidates will actually sit.
Item quality scored, not just student scores
Psychometric analysis flags questions with poor discrimination so a bad item can be retired instead of quietly reused.
Series management across a whole cohort
Schedule, publish and analyse a full test series rather than one-off quizzes.
The modules involved
Test Series & Exam Management
Create, schedule, and run multi-language exams at institutional scale.
Pixel-Faithful Proctored Mocks
No surprise on exam day — students practise the real thing.
PDF Assistant & Question Lab
Drop any material. Get exam-ready content in seconds.
Smart Practice & Deep Analytics
Every student knows exactly what to fix — and how.
Institution Control Room
Run your entire academy from one screen.
Who this is for
For Colleges & Universities
Internal assessments at scale, placement-ready students, and outcome data your accreditation team will thank you for.
For Training Providers
Deliver high-impact professional training at scale.
For Coaching Institutes
Launch your own branded AI learning app — built for competitive-exam coaching.
For Schools
Board-exam readiness, lighter teacher workload, and real parent visibility — under your school's brand.
Common questions
Can AI mark written answers?
It can assist — grouping similar responses, applying a rubric consistently, and flagging outliers for attention. It should not be the final word on a graded written answer. Treat it as a way to make a human marker faster and more consistent, not as a replacement for one.
How much proctoring do we actually need?
Match it to the stakes. A fullscreen lock and tab-switch detection are proportionate for practice and internal tests; continuous webcam monitoring and identity checks belong to high-stakes certification. Heavier monitoring carries privacy costs and, in several jurisdictions, data-protection obligations that fall on you as the institution.
What is item analysis and why does it matter?
It is the statistical evaluation of the questions themselves rather than the candidates. Discrimination shows whether an item separates strong from weak candidates; difficulty shows whether the paper landed where intended. Without it, a question bank accumulates items that measure nothing, and the qualification gradually loses meaning.
Are AI-generated questions good enough to use directly?
No, and no serious vendor should tell you otherwise. Generated items are a fast first draft that removes the blank-page problem. They still need a subject expert to catch the plausible-but-wrong distractor and the ambiguous stem before anything is published.
Comparing options?
Terminology: Online Exam Software, Online Proctoring, Question Bank.
See it on your own content
Bring your syllabus, a past paper and a real cohort. We will show you what the platform does with them — and tell you plainly where it would not help.