The MarkIt AI engine follows a sophisticated feedback loop. The process begins with scanning student submissions into digital formats. The AI OCR engine then analyzes the handwriting and freeform text to identify the student's problem-solving approach. Using a built-in learning model, the system compares the submission against teacher-defined logic. If a similar pattern has been seen before, it provides automatic feedback; otherwise, it learns from the teacher's manual correction to automate future instances. This continuous learning cycle ensures that the system becomes more efficient and accurate with every submission processed.