Mentoring Matters: Building Confidence and Community for New Teachers – Jan Masterson

In this insightful episode of Brighter Together, host Janet Courtney talks with Jan Masterson, Leander ISD’s specialist in induction and mentoring, about why mentoring new teachers isn’t just helpful — it’s essential. Jan explains how strong mentorship builds confidence, nurtures collaboration, and creates a community where educators and students alike can thrive.

Together they dive into the real‑world challenges new teachers face, the power of relationships in education, and how celebrating growth — big and small — reshapes the narrative for both teachers and learners. From practical strategies for hard conversations to fostering teacher self‑efficacy, this episode brings lived experience and heart to the topic of supporting teachers in their most formative years.

Listeners will walk away with actionable ideas for building supportive structures, reframing progress, and strengthening the teaching community — because teaching truly is a team sport.

AI in schools

The Questions Schools Should Be Asking About AI (But Often Aren’t)

Conversations about AI in schools often feel stuck between urgency and uncertainty. Leaders know the topic matters, but many are unsure where to begin, who should own the conversation, or how to move forward responsibly. Rather than offering quick answers, this article focuses on the questions schools should be asking to create clarity, consistency, and thoughtful leadership around AI use.


Why AI Conversations Often Stall in Schools

In many schools, conversations about AI do not stall because leaders are uninterested or resistant. More often, they slow down because the stakes feel high and the path forward feels unclear. When new tools intersect with student services, compliance, and professional judgment, hesitation is often a sign of responsibility, not avoidance.

One common barrier is the fear of getting it wrong. Leaders worry about privacy, ethics, and unintended consequences, especially in environments where mistakes can impact students and families. Without clear examples or shared guidance, it can feel safer to pause the conversation rather than risk moving too quickly.

Another challenge is the lack of clarity around responsibility. When AI use is informal or emerging organically, it is not always clear who should be setting expectations or monitoring use. Is it a technology issue, a compliance issue, or an instructional one? When ownership is ambiguous, conversations tend to stall because no one wants to make decisions in isolation.

Finally, mixed messaging across departments can create confusion. Teachers, clinicians, and administrators may hear different perspectives about AI, ranging from encouragement to caution to silence. Without alignment, staff are left to interpret expectations on their own, which can lead to inconsistency and uncertainty.

Together, these factors make it difficult for schools to move forward with confidence. Recognizing why these conversations stall is the first step toward creating clearer, more productive dialogue around AI use.

 

Who Is Responsible for AI Oversight in Schools

Schools are already navigating technology policies, data privacy requirements, and compliance expectations. As AI tools enter everyday workflows, the question is less about whether oversight exists and more about how clearly it is defined and applied.

In practice, AI oversight typically lives at the leadership and systems level, where decisions about instructional practice, student data, and compliance are already made. This often includes district administrators, special education leadership, and teams responsible for technology, compliance, or instructional guidance. The key is not creating something entirely new, but clearly connecting AI use to existing policies and assigning responsibility for how those policies are interpreted and applied.

Oversight cannot be informal or assumed, even when policies exist. Without clear ownership, expectations can be applied inconsistently across departments or roles. Educators may receive different messages depending on who they ask, or they may be left to interpret policy language on their own. Clear oversight helps ensure that guidance is consistent, current, and aligned with how AI is actually being used in schools.

It is also important to distinguish between guidance and enforcement. Guidance explains how existing policies apply to AI use, outlines appropriate boundaries, and supports professional judgment. Enforcement exists to address clear violations, not to monitor everyday decision-making. When schools are clear about this distinction, oversight feels supportive rather than punitive, and staff are more likely to engage openly and responsibly.

 

What AI Is Being Used for in Schools Right Now

In many schools, AI use is already happening in small, practical ways. These uses tend to focus on supporting preparation, communication, and organization, rather than replacing instructional or clinical decision-making. Understanding how AI is currently being used helps leaders ground the conversation in reality and respond with guidance that reflects actual practice.

Planning and brainstorming

One of the most common uses of AI in schools is planning and brainstorming. Educators and clinicians may use AI to generate lesson ideas, activity suggestions, or different ways to approach a topic when time is limited. In these cases, AI functions as a starting point, helping staff think through options or organize initial ideas before applying their own expertise.

This type of use supports creativity and efficiency without shifting responsibility. Planning decisions, instructional alignment, and goal-setting remain firmly in human hands, with AI simply helping reduce the time it takes to get ideas on the page.

Drafting and organizing communication

AI is also being used to draft and organize communication. This often includes emails to families, internal updates, or explanations of routines and expectations. By generating a first draft, AI can help educators focus on clarity and structure, especially for messages that are routine or repetitive.

Importantly, these drafts are reviewed, edited, and personalized before being shared. Tone, accuracy, and context are still guided by professional judgment, ensuring communication remains thoughtful and appropriate.

Supporting workflow efficiency

Beyond planning and communication, AI is sometimes used to support workflow efficiency. This might involve organizing notes, summarizing information for internal use, or turning informal lists into clearer outlines or checklists. These uses help streamline administrative tasks without introducing new content or decisions.

When used this way, AI supports organization rather than outcomes. It helps educators manage time and cognitive load while keeping responsibility for decisions, documentation, and student services exactly where it belongs.


What Data Should Never Be Entered Into AI Tools

When using AI in school settings, clear data boundaries are essential. Certain types of information should always remain off limits to protect student privacy and maintain compliance.

  • Student names and identifying information
    This includes full names, initials linked to identifiable details, student ID numbers, dates of birth, or any combination of information that could reasonably identify a student. Even partial details can become identifying when combined.

  • IEP content and evaluation data
    Individualized plans, assessment results, and evaluation reports contain sensitive information about student needs and services. AI tools should not be used to draft, summarize, analyze, or interpret this material.

  • Session notes tied to individual students
    Notes or observations connected to specific students should remain within secure, approved systems. While AI may support general organization or writing clarity, student-specific documentation should never be entered.

Keeping these boundaries clear allows schools to use AI for planning and organization without compromising privacy, trust, or compliance.


How Professional Judgment Fits Into AI Use

Professional judgment remains essential whenever AI is used in schools. No matter how advanced a tool may seem, human review is a non-negotiable part of responsible use. AI can generate suggestions, organize information, or help draft language, but it does not understand students, context, or nuance. Every output must be reviewed, revised, and approved by a qualified professional before it is used in any educational or clinical setting.

This review is not a formality. Educators and clinicians bring training, experience, and contextual understanding that AI cannot replicate. They understand individual student needs, classroom dynamics, and the broader systems in which decisions are made. Human review ensures that AI-supported work aligns with instructional goals, ethical standards, and the realities of each learning environment.

AI also cannot make instructional or clinical decisions. It cannot determine services, interpret progress, adjust goals, or respond to complex situations that require professional judgment. These decisions depend on observation, relationship-building, and expertise developed over time. Relying on AI for decision-making would remove critical context and introduce unnecessary risk.

When AI is used as a support rather than a substitute, professional judgment remains at the center of the work. Clear expectations around human review and decision-making help ensure that AI strengthens practice instead of undermining it.

How AI Use Intersects With Special Education Compliance

AI can be a great support in special education when it is used thoughtfully and within clear boundaries. The volume of documentation, communication, and planning required in special education is significant, and tools that help organize thinking or streamline drafting can ease some of that burden. At the same time, special education operates within a highly regulated framework, which means AI use must always align with existing compliance expectations.

Documentation and service delivery are central to this conversation. Special education records, progress reporting, and service decisions are governed by specific requirements designed to protect students and ensure appropriate support. AI can assist with organizing notes or improving clarity in drafts, but it cannot replace the processes used to determine services, monitor progress, or document delivery. All records must accurately reflect what occurred, who provided services, and how decisions were made. Human review and professional judgment remain essential.

Clear guidance also matters because inconsistency creates risk. Without shared expectations, AI use can vary widely across teams or roles. One educator may avoid it entirely out of caution, while another may use it more freely without realizing where boundaries should exist. This uneven use can lead to confusion, gaps in documentation, or misalignment with established procedures.

When schools provide clear guidance around appropriate AI use in special education, they reduce uncertainty for staff and protect students at the same time. Thoughtful, consistent practices help ensure that AI supports compliance rather than complicating it.

 

How Schools Can Avoid Widening Inequities With AI

As AI tools become more visible in schools, equity needs to be part of the conversation from the start. Without intentional planning, differences in access, training, and comfort can create uneven experiences for both staff and students. Schools that address these issues early are better positioned to use AI in ways that support, rather than divide, their communities.

Uneven access to tools and training is one of the most common challenges. Some staff may have access to approved tools, training opportunities, or time to explore new resources, while others do not. When access varies, so does confidence and consistency. Schools can reduce this gap by clearly identifying which tools are appropriate, ensuring access is equitable across roles, and providing shared training opportunities that reflect how AI is actually being used in practice.

Differences in staff comfort and confidence also play a role. Not every educator or clinician approaches new technology in the same way. Some may feel eager to experiment, while others may feel hesitant or concerned about making mistakes. Supportive training, clear examples, and open conversation can help normalize learning curves and reduce anxiety. When staff feel supported rather than judged, they are more likely to engage thoughtfully.

Avoiding inequities does not mean requiring uniform use. It means creating conditions where all staff have access to information, guidance, and support. When expectations are clear and resources are shared, AI can be used responsibly without reinforcing existing gaps.

 

What AI Training Should Look Like (and What It Shouldn’t)

As schools think about AI use, training plays a critical role in shaping how tools are actually used. The most effective training supports educators and clinicians in making informed decisions, rather than making them feel monitored or constrained. When training is framed the wrong way, it can discourage honest questions and push AI use out of sight instead of guiding it responsibly.

Supportive training focuses on understanding, not policing. It creates space for staff to learn what AI can and cannot do, where boundaries exist, and why those boundaries matter. This type of training acknowledges that educators are professionals who want to do the right thing, and it equips them with the information they need to make thoughtful choices. Policing, on the other hand, tends to emphasize surveillance or consequences, which can shut down conversation and increase fear rather than clarity.

Clear examples are just as important as clear rules. Vague guidance often leaves staff guessing how policies apply to real situations. Concrete examples of appropriate and inappropriate use help bridge that gap. Seeing how AI can be used for planning or drafting, and where it should not be used at all, makes expectations easier to understand and apply consistently.

When training combines supportive messaging with practical examples, it builds confidence and trust. Staff are more likely to engage openly, ask questions, and use AI in ways that align with school values and compliance expectations.

 

What Responsible AI Use Looks Like in Practice

Responsible AI use in schools is less about specific tools and more about how expectations are set and supported. In practice, it tends to share a few common features that help protect students, support staff, and reduce risk.

  • Clear boundaries around appropriate use
    Staff understand what AI can be used for and what is off limits. Planning, brainstorming, and drafting may be appropriate, while student-identifiable data and decision-making are not. These boundaries are stated plainly and reinforced consistently.

  • Shared expectations across roles and teams
    Teachers, clinicians, and administrators operate from the same understanding of responsible use. Expectations are not left to individual interpretation or passed informally between teams. This consistency reduces confusion and supports collaboration.

  • Human review built into every use case
    AI-generated content is always reviewed and approved by a professional before it is used. Human judgment remains central, ensuring that outputs align with instructional goals, ethical standards, and student needs.

  • Oversight without surveillance
    Oversight focuses on guidance, support, and clarity rather than monitoring individual behavior. Schools set expectations and provide support without creating a culture of surveillance or fear. When issues arise, they are addressed thoughtfully and constructively.

  • Ongoing conversation, not one-time decisions
    Responsible AI use is revisited as tools evolve and practices change. Schools create space for continued dialogue, reflection, and adjustment rather than treating AI guidance as static.

Together, these practices create an environment where AI supports educators and clinicians without undermining trust or professional judgment.

 

A Thoughtful Approach to AI in Schools

At Lighthouse, our approach to AI conversations with schools is rooted in thoughtfulness and care. We see AI as a tool that can support educators and clinicians when used intentionally, but never as a substitute for professional judgment. Our role is to help schools think through AI use in ways that remain student-centered, aligned with existing expectations, and mindful of compliance. That means focusing on clarity, boundaries, and partnership rather than pushing quick solutions or one-size-fits-all answers.

Strong leadership around AI does not require having everything figured out. It requires asking the right questions, creating space for thoughtful discussion, and building systems that support safe, consistent practice. When schools focus on questions rather than rushing toward decisions, they create clearer guidance, reduce risk, and support educators in using tools responsibly.

What Education Could Be: Individualized Learning With Taylor Stanton

What if schools were built around kids instead of curriculum?

In this episode, Taylor Stanton, superintendent of the Museum School in San Diego, shares how individualized learning, arts integration, and project-based methods are reshaping what school can look like—especially for students who don’t fit into the ‘traditional’ mold. From managing a small charter school to championing every student’s unique voice, Taylor invites us to see education not as a system to maintain, but a community to co-create.

A must-listen for school leaders who believe empathy, flexibility, and innovation can work—because they already are.

how educators use ai

How Educators Use AI in Schools Without Cutting Corners

How AI Is Showing Up in Schools Right Now

If you work in a school right now, you do not need anyone to explain why AI has entered the chat. Staffing shortages continue to stretch teams thin, caseloads have grown, and planning time is increasingly difficult to protect. At the same time, documentation expectations, especially in special education and related services, require more clarity, more detail, and more consistency. Over time, these overlapping pressures contribute to the burnout many educators and clinicians are experiencing, even when their commitment to students remains strong.

As a result, many educators are already operating at capacity before the day even gets complicated. This matters because AI use in schools is not coming from a mandate or a top-down push. In most cases, it is coming from individual educators asking a practical question: Can this help me manage my workload without compromising my standards?

For some, that looks like using AI to brainstorm lesson or activity ideas when planning time runs short. For others, it means organizing notes before writing progress updates, or drafting communication that still gets reviewed and personalized. These are not sweeping changes. They are targeted uses aimed at reducing friction in parts of the job that take time but do not require decision-making.

In other words, AI is showing up in schools as a support tool. Not to replace professional judgment or automate decisions. Simply put, it should help educators spend less time on the mechanics of their work and more time on students.

That is why this conversation is happening now. Not because schools are chasing technology, but because educators are looking for realistic ways to sustain their work in an environment that continues to ask a lot of them.

Practical Ways Teachers Are Using AI in Schools

For many teachers, AI is not changing what they teach. Instead, it is helping with how they prepare, organize, and communicate. The most common uses tend to sit at the front end of the work, where ideas are forming and structure is still flexible. Used this way, AI can support efficiency without interfering with instructional decisions.

Lesson and activity brainstorming

Teachers often use AI as a starting point when planning lessons or activities, especially when time is limited. It can help generate initial ideas, suggest ways to approach a topic from different angles, or offer examples that spark creativity. Rather than replacing lesson planning, AI serves as a brainstorming partner that helps teachers get unstuck.

This is particularly helpful for differentiation. Teachers might explore multiple ways to introduce a concept, think through extensions for students who need more challenge, or consider alternative approaches for learners who benefit from additional scaffolding. The key is that these ideas remain suggestions. Teachers review them, adapt them, and align them to their students, curriculum, and classroom context.

Drafting classroom communication

Another common use of AI is drafting routine communication. Teachers often juggle frequent emails, newsletters, and explanations of classroom routines or upcoming activities. AI can help generate a first draft that teachers then refine to match their voice and the needs of their families.

This can be especially useful when explaining expectations, outlining classroom procedures, or responding to commonly asked questions. By starting with a draft, teachers save time while still maintaining full control over tone, accuracy, and content. Every message is reviewed, edited, and personalized before it is shared.

Organizing instructional materials

Teachers also use AI to help organize materials they already have. Notes from planning sessions, curriculum documents, or brainstorming lists can be turned into outlines, checklists, or simple plans. This helps create structure and clarity without adding new content or decisions.

For example, a teacher might ask AI to reorganize a set of ideas into a weekly plan or group related concepts together in a clearer way. This type of use supports organization and efficiency, allowing teachers to focus their energy on instruction and student interaction rather than formatting and structure.

Across all of these examples, the pattern is consistent. AI supports preparation and organization, while teachers remain responsible for instructional choices, student relationships, and classroom decision-making.

How Clinicians Are Using AI Thoughtfully

For many clinicians, time pressure often comes from the combination of high caseloads, detailed documentation requirements, and the need to communicate clearly with multiple audiences. When clinicians use AI, it is typically in ways that support organization and clarity, while keeping clinical judgment and decision-making firmly in human hands.

Therapy activity ideas aligned to goals

One of the most common uses of AI among clinicians is brainstorming therapy activity ideas that align with existing goals. Rather than asking AI to create goals or determine services, clinicians use it to generate ideas for activities that can support skills they are already targeting.

For example, a clinician might explore different ways to practice a language or motor skill using familiar materials or classroom routines. These ideas serve as inspiration, not prescriptions. Clinicians review each suggestion, adapt it to the student’s needs, and ensure it fits within the student’s plan and educational environment. Goal setting, progress interpretation, and instructional decisions remain entirely clinician-led.

Organizing progress notes and observations

Clinicians also use AI to help organize notes and observations before final documentation is written. When notes are collected across multiple sessions, it can be helpful to reorganize them into a clearer structure that supports accurate reporting.

Used appropriately, AI can assist with summarizing themes, improving sentence flow, or organizing observations into a logical format. Importantly, it does not add new information or interpret data. All content comes from the clinician’s original notes, and every summary is reviewed carefully before it becomes part of any formal record.

Drafting caregiver communication

Clear communication with caregivers is essential, but it can also be time-consuming. Clinicians may use AI to draft plain-language explanations of therapy focus areas, progress updates, or general information about services. These drafts provide a starting point that clinicians then revise to ensure accuracy, tone, and alignment with each family’s needs.

This approach can be especially helpful when translating technical language into something more accessible, while still maintaining professional clarity. As with all other uses, clinicians remain responsible for the final message. AI supports efficiency, but the clinician’s expertise and relationship with the family guide what is ultimately shared.

Across these examples, the guiding principle is consistent. AI is used to support thinking, organization, and communication, not to replace clinical expertise or decision-making.

Using AI Responsibly in Education

Using AI responsibly starts with a simple but essential principle: human review is always required. AI can generate ideas, organize information, or draft language, but it does not understand students, context, or nuance in the way educators and clinicians do. Every output needs to be reviewed carefully, adjusted as needed, and approved by a professional before it is used in practice.

Just as important, professional judgment remains central at every stage. AI does not determine instructional decisions, clinical interpretations, or next steps for students. It cannot weigh competing needs, consider individual circumstances, or apply expertise grounded in training and experience. Those responsibilities belong to educators and clinicians, and they cannot be automated without risk.

Responsible use also means understanding what AI is not meant to do. AI supports thinking, not compliance shortcuts. It should not be used to bypass documentation requirements, generate decisions, or replace processes that exist to protect students and families. Instead, it can help reduce the time spent on organization, drafting, and preparation, freeing educators to focus on the work that truly requires their expertise.

When these boundaries are clear, AI becomes easier to evaluate and safer to use. It functions as a support tool that complements professional practice, rather than a shortcut that undermines it.

What Should Never Be Entered Into AI Tools

When using AI in educational or clinical work, clear data boundaries are essential. Certain types of information should always stay out of AI tools to protect student privacy, maintain trust, and avoid compliance risks.

  • Student names and identifying information
    This includes full names, initials tied to identifiable details, student ID numbers, dates of birth, or any combination of information that could reasonably identify a student. Even when a task feels low risk, identifiers should always be removed.

  • IEP content and evaluation data
    Individualized Education Programs, evaluation reports, and assessment data contain sensitive, protected information. AI tools should not be used to draft, analyze, summarize, or interpret these materials in any form.

  • Session notes tied to individual students
    Notes or observations connected to a specific student should remain within secure, approved systems. While AI can help with general organization or writing clarity, student-specific documentation should never be entered.

Keeping these boundaries clear allows educators and clinicians to use AI appropriately for planning and organization, without putting student privacy or compliance at risk.

Why Oversight Is Still Important in Education and Therapy

Even when AI is used carefully, oversight remains essential. Education and therapy are built on ethical responsibility, professional accountability, and trust. Introducing any new tool into that environment, including AI, requires clarity about who is responsible for decisions and how those decisions are monitored.

At its core, oversight protects ethical practice. Educators and clinicians are entrusted with supporting students in ways that are individualized, thoughtful, and responsive to real human needs. AI can assist with organization or idea generation, but it cannot understand context, intent, or impact in the way professionals do. Oversight ensures that AI remains a support tool, not an invisible influence on decisions that require human judgment.

Oversight is also closely tied to special education compliance. Documentation, service delivery, and decision-making are governed by clear legal and procedural expectations. Without guidance, inconsistent or inappropriate AI use could introduce risk, even when intentions are good. Establishing shared expectations around AI helps ensure that practices remain aligned with existing compliance requirements and professional standards.

Finally, oversight plays a critical role in maintaining trust with families and teams. Families expect transparency, care, and professionalism in how schools and clinicians operate. Teams need clarity and consistency to work effectively together. When AI use is guided, reviewed, and openly discussed, it reinforces confidence rather than raising questions. Oversight signals that technology is being used thoughtfully, with student interests at the center.

In this way, oversight is not about restriction. It is about stewardship. Clear leadership and shared understanding help ensure that AI supports education and therapy without compromising the values that underpin the work.

 

How Schools Can Support Responsible AI Use

For AI to be used responsibly in schools, support from leadership matters just as much as individual judgment. When guidance is unclear or informal, educators are left to make decisions in isolation, which can lead to inconsistency, uncertainty, and unnecessary risk. Clear, shared expectations help everyone understand where AI fits and how it should be used.

One of the most helpful steps schools can take is providing clear guidance instead of relying on informal rules or assumptions. This does not require lengthy policies or technical documents. Even simple, plain-language guidance about appropriate uses, data boundaries, and review expectations can give educators confidence and reduce guesswork. When expectations are explicit, staff are better equipped to make thoughtful choices.

Training also plays an important role, but the tone of that training matters. Supportive training focuses on building understanding, not monitoring behavior. Educators and clinicians need space to ask questions, explore examples, and understand why certain boundaries exist. When training is framed as support rather than enforcement, it encourages responsible use rather than avoidance or secrecy.

Finally, schools benefit from encouraging consistency across teams. Without shared guidance, AI use can vary widely from one classroom, department, or role to another. Consistency does not mean rigid uniformity, but it does mean aligning around common principles. When teams share an understanding of responsible AI use, collaboration becomes easier and expectations remain clear.

Together, clear guidance, supportive training, and consistent practices create an environment where AI can be used thoughtfully. Instead of adding confusion or risk, AI becomes one more tool that supports educators in doing their work well.

 

A Thoughtful Approach to AI in Schools

At Lighthouse, we think about AI the same way we think about all tools used in school-based work: as supports, not substitutes. AI can help reduce friction in planning, organization, and communication, but it never replaces professional judgment. Decisions remain clinician-led and student-centered, grounded in real relationships, context, and expertise. When we work with schools, our focus is on thoughtful, compliant use that aligns with existing expectations and protects the integrity of educational and therapeutic services.

Ultimately, AI should reduce pressure, not raise it. It should remain an optional tool, not an expectation or requirement. When used responsibly, even small time savings can make a meaningful difference in roles where cognitive load and burnout are already high. Thoughtful use, guided by clear boundaries and human oversight, will always matter more than fast adoption.

Behind the Scenes of SELPA: Supporting Students, Schools, and Systems – Marty Remmers

What does a SELPA actually do — and why does it matter?

In this episode, Janet Courtney sits down with Marty Remmers, Director of the San Joaquin County SELPA, to explore the vital, behind-the-scenes work that powers inclusive education. From navigating policies across 11 diverse districts to building community trust, Marty shares what it means to lead a system that exists to serve others.

Whether you’re a teacher, administrator, or parent, this episode reveals how SELPA supports not just students, but the entire ecosystem of education — with empathy, innovation, and a relentless focus on inclusion.

If you’ve ever wondered how the “invisible” side of special education truly works, this conversation is your guide.

report card comment bank

Mid-Year Report Card Comment Bank for Teachers

Mid-year report card comments can be tricky. Students are still learning, progress is uneven, and teachers are expected to summarize growth without treating anything as final. This comment bank is designed to make that task faster and more manageable.


Why Mid-Year Report Card Comments Are Different

As we all know, mid-year report card comments serve a very different purpose than end-of-year comments. At this point in the school year, teachers are not evaluating final outcomes. Instead, they are documenting progress, patterns, and instructional focus while learning is still unfolding.

One of the biggest differences is the balance between progress and mastery. Mid-year comments are not meant to show that a skill has been fully mastered or that a concern is fully resolved. They capture growth over time, emerging understanding, and areas where skills are developing but not yet consistent. This allows teachers to acknowledge improvement without overstating results or setting unrealistic expectations.

Mid-year reporting also reflects ongoing instruction. Teaching and learning are still actively in motion. Lessons are being adjusted, strategies are being refined, and students are continuing to practice and apply skills in new ways. Report card comments at this stage should reflect that instructional process. They help communicate what is currently being worked on in the classroom and how support will continue, rather than summarizing a completed learning cycle.

Finally, mid-year comments benefit from neutral, forward-looking language. This tone helps keep communication clear and professional while avoiding unnecessary alarm. Comments that focus on continued practice, monitoring, and support signal that progress is expected to continue. They also leave room for growth in the months ahead, which is exactly where students are at this point in the year.

When written with these differences in mind, mid-year report card comments become a useful snapshot of learning in progress rather than a final judgment.

 

How to Use This Mid-Year Report Card Comment Bank

This mid-year report card comment bank is designed to be a starting point, not something that you copy and paste. The comments are intentionally written in clear, flexible language so you can adjust them to reflect your own classroom, subject area, and students. Editing a phrase, adding a specific example, or combining two comments can help ensure the final version feels accurate and personal.

Customization is especially important at mid-year. Students may show growth in some areas while still needing support in others. You are encouraged to select comments that reflect that balance and adapt wording to match what you are seeing day to day. Even small changes, such as referencing increased independence, improved consistency, or specific strategies being used, can make a comment feel more meaningful to families.

Tone matters just as much as content. Mid-year report card comments should remain professional, neutral, and forward-looking. This is not the time to make final judgments or predictions. Language that focuses on continued practice, ongoing support, and instructional focus helps keep communication clear and constructive.

When used thoughtfully, this comment bank can help you save time while still communicating progress in a way that is accurate, respectful, and helpful for students and families.

 

Comments for Student Progress and Skill Development

Mid-year report card comments often focus on how students are progressing over time rather than whether they have fully mastered a skill. The examples below are written to reflect growth, effort, and instructional momentum while leaving room for continued development.

Steady Progress

  • Demonstrates steady progress in key skills and concepts as the school year moves forward.

  • Continues to build understanding through consistent effort and participation in class activities.

  • Shows ongoing improvement in applying learned skills across classroom tasks.

  • Is making consistent gains and responds well to instruction and feedback.

  • Demonstrates increasing confidence when engaging with grade-level expectations.

  • Applies strategies taught in class with growing independence.

  • Shows progress over time as skills are practiced and reinforced.

  • Demonstrates improved consistency when applying skills across different tasks.

  • Is increasingly able to transfer learned skills to new or varied activities.

  • Shows steady growth in both accuracy and confidence during classwork.

  • Continues to strengthen skills through regular practice and engagement.

  • Demonstrates progress that reflects sustained effort and responsiveness to instruction.

Developing or Emerging Skills

  • Is developing understanding of key skills and benefits from continued practice and reinforcement.

  • Demonstrates emerging skills with support and guided practice.

  • Shows growth in targeted areas, though skills are still developing.

  • Is beginning to apply strategies more consistently with reminders and support.

  • Demonstrates understanding during structured activities and continues to work toward independence.

  • Is building foundational skills that will continue to strengthen with instruction and practice.

  • Shows emerging progress as concepts are revisited and reinforced over time.

  • Is beginning to demonstrate increased confidence as skills develop.

  • Demonstrates partial understanding and benefits from ongoing modeling and feedback.

  • Is developing consistency in skill application across tasks and settings.

  • Shows progress when given opportunities for review and guided support.

  • Continues to build skills that will support future learning as instruction continues.

 

Comments for Effort, Engagement, and Work Habits

Effort, engagement, and work habits play a significant role in student progress across all subjects and grade levels. Mid-year report card comments in this area help communicate how students approach learning, participate in class, and manage responsibilities while instruction is still ongoing.

Effort and Participation

  • Approaches classroom tasks with consistent effort and a positive attitude.

  • Demonstrates willingness to participate in class activities and discussions.

  • Shows sustained effort when working through academic challenges.

  • Engages in learning tasks and benefits from clear expectations and routines.

  • Demonstrates persistence when tasks require additional time or practice.

  • Participates appropriately in whole-group and small-group activities.

  • Shows increasing effort and focus during independent work time.

  • Demonstrates a growing ability to stay engaged during instructional activities.

  • Approaches learning tasks with curiosity and a willingness to try.

  • Responds positively to encouragement and instructional support.

Focus, Organization, and Follow-Through

  • Demonstrates improving focus during lessons and independent work periods.

  • Is developing stronger organizational skills with classroom materials and assignments.

  • Completes tasks with reminders and continues to work toward greater independence.

  • Benefits from structured routines to support attention and task completion.

  • Shows progress in managing time and materials during class activities.

  • Is building consistency in completing assignments and following directions.

  • Demonstrates improved follow-through when expectations are clearly outlined.

  • Continues to develop strategies to support focus and organization.

  • Shows increased independence in managing classroom responsibilities.

  • Benefits from ongoing guidance to stay on task and complete work.

Responsibility and Learning Behaviors

  • Takes responsibility for classroom expectations and routines.

  • Demonstrates a growing awareness of personal learning habits.

  • Is developing independence in managing assignments and responsibilities.

  • Shows willingness to seek help when tasks feel challenging.

  • Responds well to feedback and uses it to support improvement.

  • Demonstrates respect for classroom expectations and learning time.

  • Continues to build self-management skills throughout the school day.

  • Shows progress in taking ownership of learning tasks and materials.

  • Demonstrates effort to meet classroom expectations with support.

  • Is developing habits that support continued academic growth.

 

Comments for Inconsistent Performance

Inconsistent performance is common at the mid-year point. Students may demonstrate understanding one day and struggle the next, or apply skills successfully in some settings but not others. These comments are designed to acknowledge that variability while keeping the focus on growth, support, and continued instruction.

Inconsistent Application of Skills

  • Demonstrates understanding in some situations and continues to work toward consistent skill application.

  • Applies learned skills successfully at times and benefits from continued reinforcement.

  • Shows progress, though performance may vary depending on task type or level of support.

  • Demonstrates understanding during guided activities and is working toward greater consistency.

  • Applies strategies more effectively when tasks are structured or familiar.

  • Shows emerging consistency as skills are practiced and revisited.

  • Demonstrates skills with support and continues to build independence.

  • Is developing the ability to apply skills more reliably across tasks.

  • Shows understanding in targeted areas while continuing to work toward consistency.

  • Demonstrates variable performance and benefits from ongoing instruction and review.

Variability in Effort, Focus, or Output

  • Demonstrates effort and engagement inconsistently and continues to build stamina for learning tasks.

  • Shows periods of strong focus and continues to work toward maintaining attention throughout activities.

  • Demonstrates variable effort depending on task demands and classroom structure.

  • Benefits from reminders and support to maintain focus and follow through on assignments.

  • Shows progress when routines and expectations are clearly reinforced.

  • Demonstrates improved engagement during structured or supported activities.

  • Continues to develop strategies to support consistent effort and participation.

  • Shows increased success when provided with guidance and clear expectations.

  • Demonstrates growing awareness of effort and work habits throughout the day.

  • Continues to work toward maintaining consistent engagement during learning tasks.

Building Consistency Over Time

  • Is working toward greater consistency as skills continue to develop.

  • Demonstrates improvement over time with repeated practice and reinforcement.

  • Continues to build reliability in applying skills across settings and tasks.

  • Benefits from ongoing monitoring and targeted instructional support.

  • Shows gradual progress as expectations and routines are reinforced.

  • Is developing strategies that support more consistent performance.

  • Continues to strengthen skills through guided practice and review.

  • Demonstrates growth as instruction and support remain consistent.

  • Shows increasing stability in performance with continued practice.

  • Is building the foundation needed for more consistent application of skills.


Social Skills and Classroom Behavior Comments

Social skills and classroom behavior are an important part of student growth and often continue to develop throughout the school year. Mid-year report card comments in this area should be neutral, clear, and parent-friendly, focusing on observed behaviors and ongoing development rather than judgment or final outcomes.

Peer Interaction and Collaboration

  • Interacts positively with peers during classroom activities and group work.

  • Demonstrates growing ability to collaborate with classmates during shared tasks.

  • Participates in group activities and is continuing to develop cooperative skills.

  • Shows respect for peers and contributes appropriately during class interactions.

  • Is building confidence when working with others in small-group settings.

  • Demonstrates progress in listening to others and taking turns during discussions.

  • Engages appropriately with peers during structured and unstructured activities.

  • Shows increasing comfort participating in collaborative learning experiences.

  • Continues to develop skills for working productively with classmates.

  • Demonstrates effort to engage respectfully with peers across settings.

Self-Regulation and Behavior Expectations

  • Demonstrates growing ability to follow classroom expectations and routines.

  • Is developing self-regulation skills and benefits from consistent structure.

  • Responds positively to reminders and support when expectations are reinforced.

  • Shows progress in managing behavior during instructional activities.

  • Is learning to regulate emotions and responses within the classroom setting.

  • Demonstrates improved awareness of classroom expectations over time.

  • Benefits from clear routines and visual or verbal reminders.

  • Shows progress in maintaining appropriate behavior during learning activities.

  • Is developing strategies to support positive behavior throughout the day.

  • Continues to build skills related to self-management and classroom routines.

Participation and Classroom Engagement

  • Participates appropriately in classroom activities and discussions.

  • Demonstrates willingness to engage in learning activities with guidance.

  • Shows increasing comfort sharing ideas and contributing to class discussions.

  • Engages in classroom routines with growing independence.

  • Demonstrates effort to remain engaged during lessons and activities.

  • Responds well to encouragement and positive reinforcement.

  • Shows progress in participating respectfully during instructional time.

  • Is developing confidence in contributing to classroom learning experiences.

  • Participates in classroom activities and continues to build engagement skills.

  • Demonstrates appropriate behavior during transitions and group activities.


Comments for Areas of Growth and Continued Support

Mid-year report card comments often need to address areas where students would benefit from additional practice or support. At this point in the year, the goal is to communicate needs clearly without creating unnecessary concern. The comments below are written to acknowledge challenges while keeping the focus on growth, instruction, and continued support.

Skill Development and Academic Growth

  • Will benefit from continued practice and reinforcement in key skill areas.

  • Is continuing to develop foundational skills that support overall learning.

  • Shows progress and will benefit from ongoing instruction and review.

  • Continues to work toward strengthening understanding of core concepts.

  • Benefits from targeted support to build accuracy and consistency.

  • Is developing skills at an individual pace and continues to make gains.

  • Will continue to strengthen skills through guided practice and feedback.

  • Shows areas for growth that are being addressed through instruction.

  • Benefits from additional opportunities to practice and apply skills.

  • Continues to build understanding with ongoing reinforcement.

Support, Strategies, and Instructional Focus

  • Benefits from instructional strategies that provide structure and clarity.

  • Responds well to targeted support and guided practice.

  • Continues to benefit from reminders and instructional scaffolding.

  • Shows progress when strategies are reinforced consistently.

  • Benefits from clear expectations and step-by-step guidance.

  • Continues to develop independence with ongoing instructional support.

  • Responds positively to modeling and feedback during learning tasks.

  • Benefits from regular check-ins to support understanding and progress.

  • Continues to grow with consistent instruction and reinforcement.

  • Is supported through strategies that help build confidence and skill development.

Building Skills Over Time

  • Is making progress and will continue to build skills as instruction continues.

  • Demonstrates growth with continued practice and reinforcement.

  • Shows improvement over time and benefits from ongoing monitoring.

  • Continues to develop skills through repeated exposure and instruction.

  • Is building a foundation that will support future learning.

  • Shows gradual improvement as strategies are practiced consistently.

  • Continues to strengthen skills with guided instruction and support.

  • Is developing skills steadily with ongoing opportunities for practice.

  • Shows growth as instruction remains focused and consistent.

  • Continues to work toward increased confidence and independence.



Instructional Focus and Next Steps

Mid-year report card comments often look ahead while acknowledging that instruction is still ongoing. The language in this section is intentionally future-facing without making predictions or promises about outcomes, keeping communication clear, professional, and grounded in current instructional planning.

Continued Instructional Focus

  • Instruction will continue to focus on strengthening foundational skills.

  • Ongoing instruction will support skill development and increased consistency.

  • Classroom instruction will remain focused on reinforcing key concepts and strategies.

  • Instruction will continue to provide opportunities for guided practice and review.

  • Targeted instruction will support continued progress across learning tasks.

  • Instruction will remain aligned with student needs as skills continue to develop.

  • Lessons will continue to emphasize application of skills across tasks and settings.

  • Instruction will focus on building confidence and independence over time.

  • Continued practice will support growth as learning progresses.

  • Instruction will remain responsive to student progress and needs.

Monitoring and Support

  • Progress will continue to be monitored throughout the remainder of the year.

  • Ongoing monitoring will help guide instructional adjustments as needed.

  • Continued observation will support instructional planning and support.

  • Instructional support will be adjusted based on ongoing progress.

  • Regular check-ins will support understanding and skill development.

  • Progress will be reviewed as instruction continues.

  • Monitoring will help identify areas where additional support may be beneficial.

  • Ongoing assessment will inform instructional focus.

  • Instruction will be guided by continued observation and student response.

  • Monitoring will remain an important part of supporting growth.

Building Toward Independence

  • Continued instruction will support increased independence over time.

  • Opportunities will be provided to apply skills with growing independence.

  • Instruction will focus on supporting students as they take greater ownership of learning.

  • Practice opportunities will help build confidence and independence.

  • Support will be gradually adjusted as skills develop.

  • Instruction will continue to encourage independent application of strategies.

  • Opportunities for self-directed learning will be introduced as appropriate.

  • Support will remain in place while independence continues to develop.

  • Instruction will aim to strengthen self-management skills over time.

  • Continued guidance will support independent learning behaviors.


When to Use a Specialized Comment Bank

A general mid-year report card comment bank works well for many classroom situations, especially when teachers are documenting progress, effort, and instructional focus across subjects. However, there are times when a more specialized set of comments is helpful and appropriate.

Teachers supporting students with IEPs, 504 plans, or targeted interventions often need language that more closely aligns with individualized goals, services, and supports. In these cases, comments may need to reflect progress toward specific objectives, use careful compliance-aware wording, or describe supports without overstating outcomes. A general comment bank may not always provide the level of precision required in those situations.

This is where a specialized comment bank can be a better fit. Using comments designed specifically for special education settings can help ensure that language remains accurate, professional, and aligned with documentation expectations. It can also reduce the risk of miscommunication by clearly reflecting the individualized nature of instruction and support.

If you are writing report card comments for students who receive special education services, you may also find our report card comment bank for special education teachers helpful. It offers language specifically designed for individualized progress and continued support.