AI and student feedback: faster, not less human
One concern comes up often when discussing AI-assisted feedback: does speeding up the process necessarily make it less personal? The answer depends entirely on how the tool is used, not on the tool itself.
The real problem AI can solve
In many high-enrollment courses, detailed feedback is often the first thing sacrificed when time runs short. A teacher might want to comment in depth on every submission, but ends up writing a few generic lines simply because there isn't time. That's not a lack of rigour — it's a real constraint that affects even the most dedicated teachers.
AI can propose a first draft of comments based on specific criteria, which the teacher then personalizes based on their knowledge of the student. The end result can be richer, not thinner, because the time saved on the first pass gets reinvested in fine-tuning and personalizing the message.
Where vigilance still matters
The risk shows up if generated feedback is sent as-is, without review. A technically correct but generic comment can miss what actually matters for a specific student — their progress, their effort, their context. That's why human validation before anything is sent stays an essential step, not an optional one.
A good practice is to always add at least one personalized sentence to every piece of generated feedback, however brief, to maintain a direct connection between teacher and student rather than an exchange that feels entirely automated.
Shorter turnaround, real impact
Education research has long shown that feedback delivered close in time to an assessment has more impact on learning than feedback received weeks later. Cutting that delay, even by a few days, can make a concrete difference for a student who needs to course-correct before the next assessment.
A practice to adjust gradually
There's no need to roll out AI-assisted feedback across an entire course overnight. Many teachers start by using it on a single type of assignment — a formative quiz, for example — before expanding based on results observed in a controlled setting. That gradual progression leaves room to adjust the tone and content of generated comments to fit each group's reality.
What this means for a struggling student
For a student struggling in a subject, receiving precise feedback within two days instead of two weeks can make all the difference in adjusting their approach before the next assessment. That's a concrete benefit, not a theoretical one, and it justifies the attention paid to shortening that delay without sacrificing the quality of the feedback received.
One last point to consider
Frequency matters too, not just speed. Short, frequent comments on regular formative assessments can have more cumulative impact than long but rare feedback, which changes how pedagogical attention should be distributed across a full term.
Ultimately, the question isn't just "how long does it take," but "what does the student actually retain from this feedback." A shorter delay only has value if it comes paired with content that stays relevant and actionable for the person receiving it.