Writing centers and academic support programs have long provided one-on-one guidance that classroom instructors cannot always offer. Today they operate alongside AI writing tools that give students instant feedback at any hour. This shift raises questions about the role of human tutors and the nature of support.

Nick Tasler's Your Year of Wonders argues that embracing change helps people grow, and writing support programs are in a position to demonstrate that principle. Programs that adapt thoughtfully can extend their reach and improve the quality of help. Those that resist may find students turning elsewhere.

The first step is to clarify what human tutoring does best. Conversation, questioning, and mentoring help students develop their own thinking in ways that automated feedback cannot easily replicate. Recognizing this strength allows programs to define where technology fits and where it does not.

Combining Human and AI Support

Programs can use AI-assisted feedback for routine tasks such as identifying structural issues or inconsistent citations. Tutors can then focus sessions on higher-level concerns like argument development and voice. This division of labor makes each session more productive.

• Use automated feedback to give students a first look at structural and mechanical issues
• Reserve tutor time for argument, evidence, and reasoning conversations
• Train tutors to interpret and discuss AI-generated feedback critically
• Develop clear guidelines on appropriate use of AI in student writing
• Collect data on which types of support lead to improvement

Training Tutors for New Realities

Tutors should understand how AI tools work, including their strengths and limitations. Training sessions can include practice interpreting automated feedback and deciding when to endorse or challenge it. This prepares tutors to guide students who arrive with machine-generated comments.

Ethical considerations also deserve attention. Programs should help students understand academic integrity expectations and the difference between getting feedback and outsourcing writing. Clear communication prevents confusion and protects both students and institutions.

Measuring Impact

Collect data on student outcomes, such as improvements in rubric scores after support sessions. Track wait times, usage patterns, and satisfaction. Evidence helps programs justify funding and refine services.

Pay attention to which students use the center and who does not. Technology can help reach those who might never visit in person, such as working students or commuters. Expanding access is a major benefit of well-designed hybrid support.

Collaborating With Faculty

Close communication with instructors helps align support with course expectations. Sharing rubrics and assignment guidelines lets tutors give advice that matches what faculty are looking for. This reduces conflicting messages for students.

Programs can also provide faculty with insights about common student challenges. Aggregated data on frequent issues may inform instruction and assignment design. Writing centers become partners in improving writing across the institution.