Question generation, exam delivery and evaluation in one place. AI Exam runs MCQs, descriptive answers and live tasks in a single sitting, and scores every candidate against the same standard. Built for Outcome-Based Education, every question is mapped to a course outcome and a Bloom’s level, so each mark feeds outcome attainment. Developed and run by AES – Academic Enterprise Solutions, Amal Jyothi College of Engineering Autonomous.
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AJCE follows Outcome-Based Education at every level — from the institution’s vision and mission down to each question a student answers. AI Exam carries that discipline into assessment: items are written against course outcomes, pitched at a chosen Bloom’s level, and every mark awarded becomes evidence of outcome attainment.
Each item carries a cognitive level, so a paper can be balanced deliberately — not just across topics, but from recall to creation.
Item-level marks are rolled up per course outcome and compared with the target set for the course.
AI drafts items against a chosen course outcome, never just a topic.
Set marks per CO and per Bloom’s level before a single item is drafted.
Descriptive and live-task criteria are written against what the CO asks for.
Marks roll up item → CO → PO/PSO through the course mapping.
CO-wise question papers, scripts and attainment kept together for NBA and NAAC.
Weak outcomes surface early, so teaching and the next paper can respond.
From the first draft of a question to the final mark, the whole cycle of an examination stays on one platform.
Drafts items from a syllabus, topic or learning outcome. Set the difficulty, marks and question type; every question is reviewed before it reaches a candidate.
Assembles papers, schedules sittings and delivers mixed assessments. Candidates move through objective items, written answers and timed live tasks in one session.
Marks MCQs instantly and scores descriptive answers against a rubric. Live-task evidence gets suggested marks that the examiner can accept or change.
Single- and multi-correct items with answer keys, distractors and instant scoring — suited to covering a large syllabus in limited time.
Short and long answers marked against a rubric for accuracy, structure and use of evidence. Examiners keep the final decision.
Timed practical work — solving a problem, responding to a case or completing a task against a running clock. Evidence is recorded with the attempt.
Pick the course outcomes, Bloom’s levels and marks per CO, and the mix of MCQ, descriptive and live tasks.
AI drafts CO- and level-tagged items to the blueprint; faculty edit the wording, keys and rubrics.
Candidates sit the paper on the platform, including timed live tasks.
Objective items are scored automatically; written and live work gets AI-assisted marks for review. Every mark rolls up into CO attainment.
AI Exam was designed, built and run in-house by the AES team at Amal Jyothi College of Engineering Autonomous, and exams have already been conducted on it successfully. We now invite institutes, colleges and universities to join us in developing it into a shared, jointly built AI exam development platform — one that reflects many classrooms, subjects and assessment traditions, not just ours.
Run internal tests or practice assessments on the platform and share feedback from your faculty and students.
Work with the AES team on new question formats, proctoring, analytics, integrations and accessibility.
Contribute reviewed items and rubrics, each tagged to course outcomes and Bloom’s levels, to a jointly curated pool.
Study the reliability and fairness of AI-assisted marking and outcome attainment measurement together, and publish jointly.
Joint workshops and FDPs on writing good items, rubric design and using AI responsibly in assessment.
An MoU-based collaboration with clear terms on data, governance, hosting and shared credit.
Tell us about your institution and the kind of collaboration you have in mind — a pilot, joint development, research or a formal partnership. The AES team will get back to you to plan the next steps.
aiexam.aesajce.in