While traditional grading remains the standard, many institutions are exploring various modes of narrative feedback–both human and machine-generated–to better reflect a student's actual growth and soft-skill development. Given the high student volumes typically assigned to sessional staff, is it possible to implement these personalized assessment models without compromising your own workload sustainability? What might that look like in practice?
