Artificial Intelligence (AI)

BENEFITS

Key benefits for students

• More personalized learning: AI tools can adjust the level, pacing, and type of tasks to match each student’s current understanding, helping them work at an appropriate level of challenge and focus on specific gaps.

• Immediate feedback: Students can get instant, specific feedback on practice tasks or drafts instead of waiting for the next class, which supports faster correction of misconceptions and encourages iteration.

• Increased engagement: Interactive, adaptive experiences (e.g., simulations, gamified lessons, VR/AR activities) can make content feel more relevant and immersive, often increasing participation and time on task.

• Expanded support outside class: AI‑based tutors and help systems can answer routine questions and provide guided practice after school hours, giving students more chances to practice and review concepts.

• Better accessibility and equity: Translation, speech‑to‑text, text‑to‑speech, and adaptive interfaces can lower barriers for multilingual learners and students with disabilities, broadening access to high‑quality materials.

Key benefits for teachers

• Reduced workload on routine tasks: AI can help with grading objective items, generating quizzes and practice sets, drafting lesson materials, and handling some scheduling or communication tasks, freeing time for higher‑value instructional work.

• Richer data to inform instruction: Analytics from AI‑enabled tools can highlight patterns in student performance, identify who is off track, and point to concepts that need reteaching or small‑group intervention.

• Faster content and resource creation: Generative tools can help teachers quickly draft lesson plans, scaffolds, exemplars, and differentiation options, which teachers can then refine using their professional judgment.

• More time for relationships and SEL: By taking on some administrative and clerical tasks, AI can give teachers more time for one‑on‑one conferencing, feedback conversations, and social‑emotional support.

Classroom‑level benefits

• More responsive instruction: When AI surfaces real‑time data and common misconceptions, teachers can adjust instruction on the fly—regrouping students, changing models, or adding scaffolds during the same lesson.

• Support for diverse learners: Classrooms can more feasibly offer different texts, tasks, and supports within the same lesson, helping students with varying backgrounds, languages, and readiness levels access core content.

• Richer learning experiences: AI‑enhanced simulations, virtual field trips, and scenario‑based tasks can expose students to experiences they might never have in person (e.g., exploring Mars or historical sites), deepening conceptual understanding. link

HOW TO

Start small and purposeful

• Pick one use case first. For example, begin by using AI only for drafting lesson materials or exit tickets rather than for everything at once.

• Tie AI use to a specific learning goal, standard, or classroom problem (e.g., differentiation, feedback, vocabulary support) so it feels like a tool with a job, not a novelty.

• Pilot with one unit or class, collect student and teacher reflections, and adjust before scaling.

Co-use AI with students

• Use AI alongside students in class so they see how a professional models critical use and healthy skepticism.

• Project AI outputs (e.g., a sample paragraph, solution steps, or study guide) and have students critique accuracy, clarity, and bias rather than accepting it as correct.

• Explicitly teach students how to write good prompts: specify task, audience, length, constraints, and tone. Example: Ask students to improve this prompt—“Explain photosynthesis”—into something richer like “Explain photosynthesis in simple language for a 5th grader and include a short analogy.”

Use AI to support planning, not replace it

• Use AI to generate first drafts of lesson outlines, questions, rubrics, and differentiated tasks, then revise them to align with your curriculum and students.

• Keep one organized “workspace” or thread per course or unit (e.g., “6th Grade ELA – Argument Unit”) so you can build on prior prompts and refine materials over time.

• Always fact-check and edit AI-generated materials for accuracy, developmental appropriateness, and cultural responsiveness.

Build routines for student-facing use

• Define when and how students may use AI (e.g., idea generation, feedback on drafts, practice questions) and when it is not allowed (e.g., writing final drafts, solving full problem sets).

• Provide clear task structures, such as: “Use AI to generate three possible thesis statements, choose one, and explain why it’s strongest in your own words.”

• Require visible evidence of thinking, such as annotated AI responses, reflection questions, or “AI vs. me” comparisons, to keep the cognitive work with students.

Protect privacy and model ethics

• Follow district policies on what student information can be shared; avoid entering identifiable or sensitive data into external tools unless explicitly approved.

• Teach students to treat AI as a fallible source: discuss hallucinations, bias, and limits, and require citations or verification with trusted texts and data.

• Incorporate short mini-lessons on academic integrity and how to distinguish “support” from “substitution” (e.g., getting feedback vs. having AI write the assignment).

Design “AI-aware” assignments

• Use assignments where AI is part of the process but not the product, such as critiquing AI-generated essays, improving flawed solutions, or comparing different AI answers.

• Create tasks that require personal experience, classroom-specific data, or hands-on work that AI cannot fully replicate (e.g., local community interviews, lab investigations, classroom experiments).

• Build in checkpoints: proposal → outline → draft → reflection, so you can see student thinking at multiple stages and spot AI overuse.

Practical teacher workflows (quick wins)

• Differentiation: Paste a text or task and ask AI for three leveled versions (below, on, and above grade level), then adjust language and scaffolds.

• Materials creation: Have AI generate guided notes, practice quizzes, vocabulary lists, or slide outlines, then refine and add your own examples.

• Sub plans: Provide your daily schedule and routines, then let AI draft a sub plan you edit for accuracy and student needs. link

CHALLENGES

WHAT NOT TO DO

• Don’t let AI replace core teaching. Avoid using AI to make final grading, placement, or disciplinary decisions without human review, and do not let it stand in for teacher feedback and relationships.

• Don’t design assignments where AI can do all the cognitive work. Avoid tasks that can be completed by pasting the prompt into a chatbot with no added student thinking, reflection, or in‑class work.

• Don’t allow unrestricted, undefined student use. Do not say “use AI if you want” without clear boundaries; this invites misuse, over reliance, and academic integrity problems.

• Don’t trust AI outputs blindly. Never treat AI as an encyclopedia; avoid copying explanations, facts, or examples directly into instruction without checking them against reliable sources.

• Don’t model uncritical use to students. Avoid demonstrating AI as if it is always right; instead, show that you question bias, errors, and missing perspectives.

• Don’t enter sensitive student data into unvetted tools. Avoid putting names, IDs, IEP details, health info, or discipline records into public AI systems not approved by your district.

• Don’t overuse AI surveillance or monitoring tools. Do not rely on AI proctoring, tracking, or behavior tools for high‑stakes grading or discipline decisions without human oversight and due process.

• Don’t ignore bias or inappropriate content risks. Avoid deploying tools without checking for biased or harmful outputs, and do not continue using tools that routinely generate inappropriate content in your setting.

• Don’t skip teacher training and norms. Avoid rolling out AI tools without time for staff to learn capabilities, limits, and classroom routines; this leads to inconsistent use and frustration.

• Don’t hide expectations from students. Do not neglect to publish clear “AI use” rules on syllabi, rubrics, and assignments; vague rules make enforcement and teaching integrity much harder.

• Don’t let AI erase your professional voice. Avoid handing lesson planning, communication, and feedback entirely to AI; materials should still reflect your goals, context, and relationships with students. Link