AI Faculty Intelligence Platform — Adaptive Teaching That Lifts Student Scores

ILI enables adaptive assessments where the questions change based on how a student answers the previous ones, creating a personalized path for each student. The system takes care of the entire questionnaire, adjusting the level of questions based on how the student answered the previous question. The weightage of each question also varies depending on its difficulty. At the end of the assessment, results are normalized to ensure fairness across students.

ILI supports automation of CO attainment for both internal and external assessments. The ILI can be integrated with institution-specific result formats, allowing seamless data uploads. Once the data is available, all attainment calculations are automatically processed within ILI.

TEATAR provides faculty with intelligent support throughout the teaching cycle—from lesson planning and classroom engagement to assessments, learning analytics, and remediation. By identifying learning gaps early, it enables faculty to make informed teaching decisions and continuously improve student outcomes.

No. ILI comes with a comprehensive repository of learning content. The assessment questions are developed by Subject Matter Experts (SMEs) and further strengthened with AI-generated questions that undergo expert validation before being made available on the platform.

Faculty are therefore not required to create content or question banks from scratch. They can simply use the resources available within ILI or, if preferred, can upload their own learning materials and assessment questions.

While most LMS platforms are limited to objective assessments, ILI offers a comprehensive assessment ecosystem, including Adaptive Tests, Video Assessments, Subjective Assessments, Case Study-Based Learning, and the Curiosity Engine. Every assessment is supported by customised rubrics and generates a detailed SWOC report, enabling faculty to go beyond marks and gain meaningful insights into student learning.