Boston Student Writing
Boston Schools: Preserve Student Voice in AI-Assisted Writing
A Boston guide to writing conferences, AI disclosure, multilingual support, and school assemblies that protect student voice and academic integrity.
By Jim Jordan · · 4 min read
Easy-read summary
The big idea for Boston, Massachusetts schools
Boston's connections to literature, research, higher education, and a multilingual community make student voice a meaningful starting point for school AI discussions. A generated paragraph can look finished while revealing little about what the learner actually understands. At the same time, legitimate language and accessibility support can help a student express ideas they already own. The challenge is to distinguish useful support from hidden replacement. These suggestions are for grades 6–12 teachers and leaders; they are not Boston Public Schools policy. Begin with the assignment's learning goal and the school's approved tools, accommodations, and disclosure expectations.
Teach students to disclose AI help when a teacher or assignment requires it.
Use AI as a coach for questions, practice, feedback, and revision—not as a ghostwriter.
Verify important AI claims with reliable sources before sharing or submitting them.
Protect student privacy by avoiding personal, family, medical, or school-identifying details in prompts.
Section 2
Define the writing skill being assessed
Name the skill before naming the tool. If the goal is building an argument, the student must choose a claim, evaluate evidence, and explain the reasoning. If the goal is independent sentence construction, a generated rewrite may bypass the skill being assessed. If the goal is revision, feedback questions might be appropriate while a replacement essay is not. Put two or three examples in the assignment directions. Students should not have to guess whether brainstorming, translation, proofreading, or paragraph generation falls within the rules. A no-AI task can coexist with an open-AI task when the teacher explains why different kinds of evidence are needed.
Section 3
Use feedback that leaves revision with the learner
For a revision lesson, ask students to write a first attempt before using any approved feedback. Good prompts ask for questions, identify an unclear passage, or request an explanation of a grammatical pattern. They should leave the actual revision with the learner. Students can keep one before-and-after example and explain why the new version works better. A tool's advice should not be accepted automatically; it can flatten a deliberate style choice or misunderstand the intended audience. A paper-based peer review can follow the same procedure. The assessment should reward the student's reasoning about revision, not the amount of generated text on the page.
Section 4
Respect multilingual and accessibility supports
Do not use unfamiliar vocabulary or polished language as proof of misconduct. Multilingual learners, confident writers, and students using approved assistive technology may all produce language a teacher did not expect. Clarify which supports are permitted for the task and make those expectations accessible to families. Students should not upload a classmate's draft, private teacher comments, or identifying learning records to an unapproved service. Use teacher-created samples to demonstrate feedback tools. When a policy question arises, consult the staff responsible for accommodations and language support rather than trying to infer a student's needs from an AI detector or writing style.
Section 5
Check authorship with a writing conference
A short writing conference can ask the learner to explain the argument, identify the strongest evidence, and revise a sentence for a different audience. Save a small number of checkpoints rather than monitoring every keystroke. If AI help was allowed, a disclosure can identify the tool's role, the part affected, and the checks the student performed. If a concern remains, follow the school's fair review process and ask for comparable independent work. The objective is to gather evidence of learning, not to pressure the student into a confession. A useful conference often reveals the next teaching need as clearly as it reveals authorship.
Student prompt examples
- “Coach me, but do not complete the assignment for me.”
- “Ask me three questions before giving suggestions.”
- “Show what might be wrong or missing in this answer.”
Section 6
Connect the assembly with the next draft
For a Boston AI school assembly with Jim Jordan, share the grade band, audience size, dates, and writing situations your staff wants addressed. Describe the school's existing language for permitted help and independent work. After the event, one department can model a disclosure note and another can use a brief revision conference. This creates continuity between a memorable schoolwide message and the next assignment. The Massachusetts speaker page and follow-up library below provide planning ideas. Email office@jimmyai.ca to discuss availability and an assembly that values student voice while supporting thoughtful use of approved technology.
Action checklist
Use this after the assembly
- ●Create green, yellow, and red examples of acceptable AI help.
- ●Give students simple prompt language such as: coach me, do not complete it.
- ●Ask students to cite or explain how AI was used when appropriate.
- ●Revisit AI expectations during major writing, research, coding, and media projects.
Plan the next step for your school
Sources and citations