AI literacy – Misryoum explains three classroom-ready AI use cases—idea support, editing coaching, and voice-to-text—to strengthen writing and reading skills while keeping learning honest.
AI is moving from the sidelines into everyday student work, and literacy is one of the clearest places to see both risk and reward.
For many families and teachers. the first worry is familiar: that AI use in English class will turn into shortcuts. weak writing habits. and “worse literacy” over time—leaving students unprepared for the college and careers that still demand clear reading. strong writing. and confident communication.. Misryoum acknowledges that concern, but the practical reality in classrooms is that students are already using AI.. The more urgent question is whether schools will coach students to use it well.
The best approach is not a blanket ban, but structured, literacy-first routines that treat AI as a learning partner. Misryoum focuses on three classroom-friendly ways students can use AI tools to strengthen their literacy—without outsourcing thinking.
A thought partner for stronger ideas
Most students already use AI the way they use search engines: ask a question, get an answer.. But literacy growth often depends on how students learn to shape ideas—how they build claims. consider evidence. and anticipate objections.. AI can function as a thought partner in that process, helping students explore multiple angles before they write.
Instead of asking AI to write an entire essay. students can use it to generate justifications and rebuttals for a specific argument tied to class learning.. Misryoum notes that this changes the task: students still have to select, verify, and organize what fits.. When AI provides suggested points. students can be required to tie them back to what they learned in class and to evaluate credibility of supporting material.
That is also where an essential literacy skill shows up: information judgment. If students use AI to surface resources or perspectives, teachers can require brief reasoning about why something is trustworthy or relevant. The learning goal becomes critical reading—not copy-pasting.
A more rigorous assignment can be built around the debate itself: students draft a claim, then produce a structured “rationale” that addresses opposing views. In Misryoum’s view, this format is harder to fake and easier to assess because the reasoning is visible.
Editing and structure support that teaches craft
Writing quality is not only about ideas; it is also about clarity, organization, and the discipline of revising. AI can help students practice those revision cycles when it is used as an editor and coach rather than a ghostwriter.
Students can paste a draft into an AI tool and ask for feedback on clarity and consistency in both language and structure. The key is coaching: teachers need to show students how to use feedback to improve their own writing choices—rather than simply accepting edits as final.
Misryoum also draws an important comparison to technology students already accept in other subjects: calculators support mathematical work. but students still learn how and why.. Similarly, AI feedback can support students in understanding what “effective writing” looks like—so long as they do the rewriting.
One practical classroom habit is to require a short reflection after revisions: what changed, what the student kept, and what they learned about audience or purpose. That reflection turns editing from a one-time fix into a literacy routine.
Voice to text: lowering barriers to expression
For many struggling and diverse learners, literacy challenges are not always about having ideas.. Often the bottleneck is expression—spelling, handwriting, keyboarding, or the anxiety that comes with producing words under pressure.. AI-powered voice-to-text can change that equation by letting students speak first, then shape text afterward.
Misryoum sees voice-to-text as one of the most direct accessibility tools in education technology.. When students dictate ideas, they can focus on content and thinking while the tool handles transcription.. From there, students can revise, refine vocabulary, and adjust tone so the writing matches the intended audience.
The value goes beyond simple dictation features.. Modern tools can offer vocabulary suggestions, pronunciation support for spoken drafts, and real-time feedback that helps students practice fluency.. For a student working on a science project. dictation can be paired with support for technical terms—helping them communicate complex procedures with greater accuracy.
For English language learners. voice tools can offer clearer spoken models and consistent feedback on accuracy. supporting both confidence and comprehension.. For students with learning differences such as dyslexia. dictation can reduce the fear and fatigue tied to spelling and writing mechanics. making it easier to participate in higher-level thinking.
In Misryoum’s editorial take, this is where literacy instruction becomes more equitable: students spend more time practicing communication and less time fighting the mechanics of putting words on a page.
The classroom challenge for educators is to put guardrails around these tools.. Students still need to learn when to use AI. when to rely on their own drafts. and how to verify information.. Misryoum argues that the fastest path to better outcomes is teacher readiness—time for educators to experiment with AI themselves and design classroom norms that reward responsible use.
As AI tools become more common. the line between “cheating” and “learning” will increasingly depend on the structure of the assignment and the coaching students receive.. Misryoum’s takeaway is simple: when AI is used to support thinking. revision. and accessibility. students are more likely to build the literacy skills that college and careers require.
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