The challenge
Trainers were manually reviewing high volumes of student assessments across text, essays, MCQs, matching, fill-in-blanks, and file attachments. The process was slow, feedback quality varied, and students waited longer for results.
What we built
- Connected aXcelerate LMS via API to the Ion AI evaluation pipeline.
- Built automated extraction across all question types with segregation logic.
- Designed AI evaluation against benchmarks to determine satisfactory or unsatisfactory results per answer.
- Automated meaningful feedback generation with trainer validation before release to students.
AI agent capability
Ion extracts student submissions daily, evaluates answers by question type, generates structured feedback remarks, and pushes results back automatically while trainers retain final approval.
Approximately 40,000 assessments processed per month, 5,000 trainer hours saved per week, and 90% accuracy and consistency improvement.