40+ Focus and Attention IEP Goals With Measurable Examples

Originally written by Tess Hileman, M.Ed.; updated by Dr. Miriam Gayle, EdD

Strong focus and attention IEP goals name an observable behavior, a baseline from your own data, a condition, a criterion with a time window, and a data tool. Here is one complete example:

“Given a 20-minute independent work period, [Student] will remain on task from the start of the period for at least 15 minutes, as measured by a duration log (minutes from the start of the period to the first off-task episode lasting more than 30 seconds), in 4 out of 5 consecutive sessions (baseline: median 8 minutes across 5 sessions).”

Attention concerns are common: more than 1 in 9 U.S. children ages 5–17 (11.3%) had ever been diagnosed with ADHD in 2020–2022, rising from 8.6% at ages 5–11 to 14.3% at ages 12–17 (CDC, 2024).

To start collecting data this week, print the interval sheet.

Key Takeaways

• All 40 goals carry an example baseline in the same unit as the criterion, plus a consistency window and a named data tool.
• Five categories: sustained attention and on-task behavior, shifting attention onto a new task, following directions, reducing distractibility, and sustaining attention through the end of a task.
• IDEA requires measurable annual goals, not a particular goal format.
• Includes a printable interval data sheet, review rules and a four-line progress statement for families.

How to Write Focus and Attention IEP Goals

IDEA requires every IEP to include measurable annual goals (IDEA Section 300.320). It also requires a description of how progress will be measured and when periodic reports will go to parents. The law doesn’t prescribe a format. This five-part structure is a widely used way to make attention goals measurable:

1. Baseline: what the student does now, from your data, in the same unit as the criterion.
2. Condition: the setting, task or prompt.
3. Observable behavior: what the student will do, in words a substitute could see.
4. Criterion: how well or how often, with a consistency window (“4 out of 5 consecutive sessions”).
5. Measurement method: the named tool that produces the number.

Write the goal from what the student does in your room, whether or not there’s an ADHD diagnosis on file. Two students with the same diagnosis can need goals in different categories.

In the example at the top of this page, a duration log produces the number the criterion needs (minutes from the start), and the baseline (a median of 8 minutes) shows how far the goal reaches. The method has to match the criterion: momentary time sampling only checks single moments, so it can’t time how long a student stayed on task.

Weak goal → strong goal

1. Weak: “Student will pay attention in class” fails because “pay attention” isn’t observable.

• What’s wrong: there’s no number, condition, baseline or method either. Define what attending looks like for this task: facing the speaker or materials, materials out, an answer within five seconds of a question.
• Strong: the duration-log example at the top of this page, with its 8-minute baseline.

2. Weak: “Student will stay on task 80% of the time” fails because it never says 80% of what.

• What’s wrong: there’s no setting, no interval method, no consistency window and no baseline.
• Strong: sustained attention goal 2 below, which measures 2-minute checks on an interval data sheet in two settings, against a 45–50% baseline.

Three mistakes that sink attention goals

1. Writing the criterion before the baseline, so the goal jumps from 4 minutes to 15 because 15 sounded right.
2. Measuring in one subject only, then calling the skill mastered.
3. Treating the accommodation as the goal and never deciding whether it should fade.

Quick quality check for any attention goal:

• Can a substitute teacher observe this behavior? (If not, it’s too vague.)
• Does the criterion include a number and a consistency window?
• Is the measurement method named? (Not just “teacher observation.” What tool or form?)
• Does it state the baseline, in the same unit as the criterion?

Baseline Skills to Assess Before Writing Goals

Before drafting focus and attention IEP goals, rule out two things: whether the work is at the student’s instructional level, and whether the off-task behavior serves a purpose, such as escaping work that’s too hard. An on-task goal can’t fix either one. Then gather data on four baseline skills. When a student’s behavior impedes their own learning or that of others, IDEA requires the IEP team to consider positive behavioral interventions and supports (34 CFR 300.324(a)(2)(i)). The Department of Education restates that requirement in its guidance on functional behavioral assessments (November 2024). Baseline data is where that consideration starts.

Sustained attention duration. Time how long the student stays on task during independent work, direct instruction and group activities. Record across three or more settings, since attention often varies by context.
Written as a baseline: “median 8 minutes on task from the start of independent work, across 5 sessions.”

Task initiation latency. Measure the time between a direction and the student’s first task action. A student who takes 8 minutes to open a textbook after being told to read has a measurable gap.
Written as a baseline: “started within 2 minutes in 0 of 5 opportunities; median 7 minutes.”

Direction-following accuracy. Track how often the student follows a direction correctly on the first attempt. Separate single-step from multi-step directions, because the data often tells different stories.
Written as a baseline: “single-step directions followed on the first attempt in 9 of 20 sampled directions.”

Distraction frequency. Count how many times the student shifts off task during a set interval (for example, a 15-minute work period). Tally marks or a clicker counter work.
Written as a baseline: “median 9 off-task glances per 15-minute work period across 4 sessions.”

On one or two baseline days, count a typical classmate in the same period too. A target the student’s peers wouldn’t meet isn’t a reasonable goal. The interval data sheet below works for baseline and progress monitoring alike.

Goals for Sustained Attention and On-Task Behavior

Sustained attention is the ability to stay on task over time, and it is what most on-task behavior IEP goals measure. A 2025 meta-analysis of 22 randomized controlled trials found that school-based interventions for students with ADHD reduced inattention symptoms (d = −0.33, p < 0.0001), an effect the authors describe as medium. That’s evidence for the interventions, not for any goal wording; the goal is how you find out whether an intervention is working for one student.

Baselines shown are examples; replace them with your student’s data.

1. Given a 15-minute independent reading period, [Student] will remain on task without teacher redirection for at least 12 minutes, as measured by a duration log (minutes from the start of the period to the first redirection or first off-task episode longer than 30 seconds, whichever comes first), in 4 out of 5 consecutive sessions (baseline: median 5 minutes on task before the first redirection across 5 sessions).
2. During whole-class instruction lasting 20 minutes or more, [Student] will be oriented to the speaker or instructional materials (facing the speaker, board or materials, or writing or doing the task) in at least 80% of checks, as measured by momentary time sampling at 2-minute intervals on an interval data sheet, on 3 consecutive observation days in each of 2 settings (baseline: 45% of checks in math and 50% in science, 3 observation days each).
3. When completing a written assignment at the desk, [Student] will sustain on-task behavior for the full assignment (up to 25 minutes) with no more than 1 verbal redirect (a redirect is given after about 30 seconds off task), as documented on a redirect tally sheet, in 4 out of 5 assignments across 3 consecutive weeks (baseline: median 4 verbal redirects per assignment across 5 assignments).
4. Given a small-group activity with 3–4 peers, [Student] will remain engaged with group materials and discussion for at least the first 10 minutes without leaving the seat or starting an off-task conversation, as measured by a duration log kept by the adult leading the group (minutes to the first seat-leave or off-task exchange), in 3 of the last 4 group sessions (baseline: median 4 minutes across 4 group sessions).
5. During a computer-based learning activity of up to 20 minutes, [Student] will be on the assigned application or website at every 5-minute check, as measured by a teacher check of the open tab at each prompt, recorded on a check-in sheet, in 4 out of 5 sessions across 3 consecutive weeks (baseline: on the assigned tab at all 4 checks in 0 of 5 sessions; median 2 of 4 checks).
6. When provided with a self-monitoring checklist, [Student] will record on-task behavior at 5-minute intervals during a 30-minute work block and agree with the teacher’s ratings on at least 5 of 6 checks, as measured by comparing the student’s checklist with the teacher’s interval sheet, in 4 out of 5 consecutive sessions (baseline: agreement on 3 of 6 checks, median across 3 sessions).
7. During a test or quiz lasting 15–30 minutes, [Student] will keep working on test items until submitting the test or time ends, with no more than 1 work stoppage longer than 60 seconds (head down or not working on the test; accommodated breaks don’t count), as measured by a duration log of work stoppages longer than 60 seconds, in 4 out of 5 assessments across the grading period (baseline: median 3 stoppages longer than 60 seconds per assessment across 4 assessments).
8. Given a preferred seating arrangement and noise-reducing headphones, [Student] will be on task during independent math practice in at least 8 of 10 checks, as measured by momentary time sampling at 2-minute intervals, in 3 out of 4 consecutive sessions (baseline: on task at 4 of 10 checks, median across 4 sessions). Once the criterion holds for 3 weeks, the team decides whether to fade one support a step (for example, headphones only during the noisiest part of the block), amends the IEP if it does, and keeps collecting data.

Goals for Shifting Attention onto a New Task

These goals target attention at the beginning of a task: noticing the start signal, re-orienting after a transition or break, and moving attention to the first step. The What Works Clearinghouse practice guide on teacher-delivered behavioral interventions (December 2024) rates “provide students frequent and varying opportunities to respond to and engage in activities” as supported by moderate evidence in Grades K–5. A student still looking for a pencil when the first question comes misses those opportunities.

For goals about getting started on independent work, see our task initiation guide.

1. After a verbal direction to begin an assignment, [Student] will open materials and start working within 2 minutes, as measured by teacher-recorded time stamps on a latency log, in 4 out of 5 consecutive opportunities (baseline: started within 2 minutes in 0 of 5 opportunities; median 7 minutes from the direction to the first task action).
2. Given a written task posted on the board, [Student] will begin the assignment within 90 seconds of the start signal without a personal prompt, as measured by a latency log with time stamps, in 3 out of 4 trials across 3 consecutive weeks (baseline: began within 90 seconds without a personal prompt in 0 of 4 trials; median 5 minutes).
3. When moving from one activity to the next, [Student] will have materials for the new activity out and be working within 3 minutes of the transition cue, as measured by a latency log with time stamps, in 4 out of 5 observed transitions across 3 consecutive weeks (baseline: working within 3 minutes in 0 of 5 transitions; median 8 minutes).
4. After a multi-step direction (2–3 steps), [Student] will begin the first step within 2 minutes without asking for the whole direction to be repeated, as recorded on a latency tracking form, in 3 out of 4 consecutive opportunities (baseline: within 2 minutes and without a repetition request in 1 of 4 opportunities).
5. Given a morning routine checklist, [Student] will independently begin the first listed task within 1 minute of the morning start signal (bell or posted start time), as documented on a teacher latency log, on 4 out of 5 school days per week over 3 consecutive weeks (baseline: within 1 minute on 1 of 5 days in each of 2 weeks).
6. During a group project, [Student] will begin the assigned role or task within 2 minutes of the teacher’s “start” signal without waiting for a peer prompt, as measured by a latency log with time stamps, in 4 out of 5 group sessions across 3 consecutive weeks (baseline: within 2 minutes in 1 of 5 group sessions).
7. When given an independent work packet, [Student] will write [Student]’s name on it and begin the first item within 90 seconds of receiving it, as measured by teacher time stamps on a latency log, in 4 out of 5 trials across 2 consecutive weeks (baseline: began within 90 seconds in 0 of 5 trials; median 4 minutes).
8. After a scheduled break (recess, lunch or a movement break), [Student] will return to the seat and begin the posted assignment within 3 minutes of the return signal, as measured by a latency log with a transition timer, in 3 out of 4 opportunities across 3 consecutive weeks (baseline: began within 3 minutes in 0 of 4 opportunities; median 7 minutes from the return signal).

Goals for Following Directions

A direction-following goal scores whether the student carries out a direction correctly on the first attempt, tracked per direction on a data sheet. Direction-following connects directly to attention: a student who doesn’t register or hold onto an instruction can’t act on it. If the student follows written directions but not spoken ones, consult the speech-language pathologist to rule out receptive language or auditory processing needs before writing an attention goal. Goals in this category should separate single-step from multi-step directions, and verbal from written formats, because the data often shows different skill levels across those conditions.

1. Given a single-step verbal direction delivered at a normal pace, [Student] will follow the direction accurately on the first attempt, as measured on a direction-following data sheet (+ / − per direction, scoring the first 2 single-step directions in each of 5 lessons a week), in at least 80% of sampled directions for 2 consecutive weeks (baseline: 9 of 20 sampled directions over 2 weeks).
2. When given a 2-step verbal direction, [Student] will complete both steps in the correct order without a reminder, as documented on a direction-following data sheet, in 4 out of 5 consecutive opportunities (baseline: both steps in order without a reminder in 1 of 5 opportunities).
3. Given a 3-step verbal direction with a 5-second pause between steps, [Student] will complete all three steps accurately, as measured by a task completion checklist, in 3 out of 4 trials across 3 consecutive weeks (baseline: all three steps completed in 1 of 4 trials).
4. When a direction is written on the board and read aloud, [Student] will begin following it within 30 seconds and complete it accurately, as documented on a direction-following data sheet with start times, in 4 out of 5 opportunities across 3 consecutive weeks (baseline: started within 30 seconds and completed accurately in 2 of 5 opportunities).
5. During a hands-on science or art activity, [Student] will follow the teacher’s procedural directions (up to 3 steps) without skipping steps or asking for individual repetition more than once, as measured by a completed-steps checklist, in 3 out of 4 observed activities across 4 consecutive weeks (baseline: all steps followed in 1 of 4 activities).
6. Given a verbal direction while working in a group, [Student] will stop the current activity, attend to the speaker and follow the direction within 15 seconds, as measured on a latency recording form, in 80% of observed opportunities (at least 10) over 2 consecutive weeks (baseline: within 15 seconds in 35% of observed opportunities across 2 weeks).
7. When given a direction that requires gathering materials (for example, “Get your notebook, turn to page 12, and begin the warm-up”), [Student] will complete all parts within 2 minutes, as measured by teacher time stamps on a direction-following data sheet, in 4 out of 5 consecutive opportunities (baseline: all parts within 2 minutes in 1 of 5 opportunities).
8. After a whole-class direction, [Student] will use a personal direction-tracking strategy (saying the direction back to a partner, writing it down or pointing to a visual cue card) and follow through accurately, as documented on a teacher checklist (strategy used: yes / no; direction followed: yes / no), in 3 out of 4 opportunities across 3 weeks (baseline: strategy used and direction followed in 0 of 4 opportunities). The student’s own rating can be noted as a supplement, not as the measure.

Goals for Reducing Distractibility

Distractibility, the tendency to shift attention from the task to something irrelevant, shows up as glances around the room, side conversations and stops in work. Each of those can be counted. CDC estimates that about 7 million U.S. children ages 3–17 (11.7%) had a current ADHD diagnosis in 2024, based on a national survey of parents, and that about 6 in 10 children with ADHD had moderate or severe ADHD in 2022 (CDC). That is a different CDC measure from the one in the opening: current diagnosis, ages 3–17. Not every distractible student has a diagnosis, and the goals below don’t assume one; they target the observable behaviors.

1. During independent seatwork, [Student] will reduce off-task visual scanning (head turned away from the work toward peers or objects for 3 seconds or more) to no more than 3 instances per 15-minute work period, as measured by frequency count on a teacher observation form, across 4 out of 5 consecutive sessions (baseline: median 9 instances per 15-minute period across 4 observed sessions).
2. When seated near peers during a group lesson, [Student] will keep talk with peers on the lesson topic, starting no more than 1 off-topic conversation per lesson (up to 20 minutes), as measured by a teacher tally of off-topic conversation starts, in 4 out of 5 observed lessons across 3 consecutive weeks (baseline: median 5 starts per lesson across 5 lessons).
3. Given a structured workspace with a privacy folder and visual schedule, [Student] will complete an assigned task with no more than 1 teacher redirect for off-task behavior, as documented on a redirect tracking log, in 3 out of 4 consecutive work periods (baseline: median 4 redirects per work period across 4 work periods).
4. During a classroom activity with ongoing background noise and movement (centers, group work or a lab), [Student] will be on task in at least 80% of checks, as measured by momentary time sampling at 2-minute intervals, across 3 consecutive observation periods (baseline: on task in 40% of checks across 3 observation periods).
5. When an unexpected disruption occurs (a classroom visitor, an announcement, dropped materials), [Student] will return to on-task behavior within 60 seconds of the teacher resuming the lesson, as measured by a latency log, in 4 out of 5 observed instances across the grading period (at least 5 recorded) (baseline: back on task within 60 seconds in 1 of 5 observed disruptions; median 4 minutes).
6. When a preferred activity is followed by a non-preferred task, [Student] will shift attention to the non-preferred task and stay on task for at least the first 10 minutes, as measured by a duration log (minutes from the transition to the first off-task episode longer than 30 seconds), in 3 out of 4 transitions across 3 consecutive weeks (baseline: median 3 minutes across 4 transitions).
7. When using a self-monitoring strategy with a vibrating interval timer set to every 2 minutes during a 20-minute work block, [Student] will record attention status at each prompt and be on task at 8 or more of the 10 prompts, as recorded on the student’s self-recording sheet, in 4 out of 5 sessions across 3 consecutive weeks; a session counts only if the sheet matches the teacher’s spot checks at 2 or more of 3 prompts (baseline: on task at 4 of 10 teacher checks at the same interval, median across 3 sessions, before self-monitoring was taught).
8. Given access to a designated fidget tool, [Student] will remain engaged with the instructional activity (eyes on materials, participating in discussion, or writing) in at least 8 of 10 checks, as measured by momentary time sampling at 2-minute intervals, in 4 out of 5 consecutive sessions (baseline: engaged at 4 or 5 of 10 checks, median 45% across 4 sessions).

Goals for Sustaining Attention Through the End of a Task

Finishing is an attention task too. The student has to hold attention through the middle of the work, after the novelty is gone, and through the last step. These goals measure attention across the whole task, using the finished product or a tracking form as the record. A systematic review of 75 single-case studies found that interventions teaching students to set goals for, monitor and record their own behavior produced significant improvements in classroom behavior (Smith, Thompson, & Maynard, 2022). A self-recording sheet is a natural companion to the goals below. Several of them also depend on academic skill or organization (writing length, homework, make-up work), so rule those out first or pair the goal with one that targets the skill.

1. Given an independent assignment at [Student]’s instructional level with a clear end point, [Student] will complete at least 80% of the assigned work within the allotted time, as measured by work sample analysis, in 4 out of 5 consecutive assignments (baseline: median 45% of assigned work completed in the allotted time across 5 assignments).
2. During a 30-minute independent work period, [Student] will complete the full assignment and turn it in before the timer sounds, with no more than 2 teacher prompts, as documented on a work completion tracking sheet, in 3 out of 4 trials across 3 consecutive weeks (baseline: finished before the timer with no more than 2 prompts in 0 of 4 trials).
3. When given a task breakdown checklist (the assignment divided into 3–4 smaller steps), [Student] will check off each step and submit the completed work, as measured by the checklist and teacher review, in 4 out of 5 assignments across 3 consecutive weeks (baseline: all steps checked and work submitted in 1 of 5 assignments).
4. Given a homework assignment, [Student] will record it in a planner and pack the needed materials before dismissal, and return the completed assignment the next school day, in 4 out of 5 instances per week, as documented on the teacher’s assignment log, over 4 consecutive weeks (baseline: recorded, packed and returned in 2 of 5 instances per week across 3 weeks).
5. During a timed writing activity (10–15 minutes), [Student] will produce a response that meets the minimum length (for example, 5 sentences or 1 paragraph) and stays on topic, as measured by teacher-scored writing samples, in 3 out of 4 timed writing sessions across 4 consecutive weeks (baseline: met length and stayed on topic in 1 of 4 sessions).
6. When working on a multi-day project, [Student] will complete each daily work segment on the project timeline and submit progress evidence at the end of each class period, as documented on the teacher’s project tracking form, for 4 out of 5 work days in each of 2 consecutive projects (baseline: daily segment completed on 2 of 5 work days).
7. Given a partner or group assignment, [Student] will complete the assigned portion independently and on time, without a peer finishing it, as measured by a group accountability rubric, in 3 out of 4 collaborative assignments across the grading period (baseline: assigned portion completed independently and on time in 1 of 4 assignments).
8. After an absence, [Student] will obtain, begin and complete missed assignments within the agreed make-up window (for example, 2 school days), as documented on the teacher’s make-up work log, in at least 80% of absences across the IEP year (at least 3 needed to judge) (baseline: within the window in 1 of 4 absences last semester).

Classroom Supports for Attention Goals

IEP goals work best when paired with classroom supports that reduce barriers. CHADD’s classroom accommodations guidance includes seating in an area with fewer distractions, breaking long assignments into smaller parts, and providing breaks.

Environmental supports. Seat the student away from high-traffic areas, windows and doorways. Use privacy folders during independent work. Position the student near the teacher for proximity cueing during whole-class instruction.

Timing and pacing tools. Visual timers (Time Timer, sand timers) make the passage of time concrete. Break longer assignments into timed segments: a 30-minute task becomes three 10-minute blocks with brief movement breaks between them.

Self-monitoring systems. Teach students to track their own on-task behavior with interval checklists, vibrating timer watches or apps that prompt attention checks. The WWC guide cited above rates “teach students to monitor and reflect on their own behavior” as supported by moderate evidence in Grades K–5.

Transition supports. Use verbal countdowns (“Two minutes until we switch”), visual schedules posted at eye level and consistent transition routines. For students who are slow to start, a personal “start” cue (a tap on the desk, a visual card) shortens the gap between direction and action.

Movement and sensory breaks. Scheduled movement breaks can help some students reset. Time the break from the baseline: if the median time to the first off-task episode is 8 minutes, try a break at about 7, then adjust to the data. Fidget tools, standing desks and resistance bands on chair legs give sensory input without leaving the workspace.

Fading supports. When a goal with a support in its condition (headphones, a privacy folder, a fidget) has met its criterion for 3 weeks, the team decides whether the support is scaffolding or an access need. Scaffolding fades one step at a time (headphones for part of the block, then none) while data collection continues; if the data drops, step back. Access needs stay. Either way, list the support in the IEP’s supplementary aids and services, so fading it is a decision the team makes on purpose.

How to Measure Progress and Collect Data

Match the data method to the behavior: frequency for discrete events, duration for how long, latency for how fast a student starts, and momentary time sampling for the share of time on task. The IRIS Center at Vanderbilt University recommends objective numerical data, collected frequently and graphed, and warns against anecdotal reports and teacher or student perceptions as the basis for monitoring.

Frequency count. Tally each occurrence of a behavior during a set time period. Best for discrete behaviors: off-task glances, directions followed correctly, redirects needed.

Duration recording. Record how long a behavior lasts, such as the time from the start of the period to the first off-task episode. It needs eyes on the student for the whole block, so run it while circulating during independent work or when the case manager pushes in.

Latency recording. Record the time from a direction or start signal to the first task action. Best for goals about shifting attention onto a new task.

Interval recording. Divide an observation period into equal intervals and record whether the behavior occurred in each:

• Momentary time sampling: check at the end of each interval. Least intrusive and often the least biased estimate of on-task time, so it’s a good default for sustained attention.
• Whole-interval recording: the behavior must last the entire interval to count. A conservative estimate that undercounts on-task time, and it needs continuous watching.
• Partial-interval recording: the behavior only needs to occur once in the interval. It overestimates how much of the time a behavior happens, so use it for off-task behavior you want to catch, not to report on-task time.

Work sample analysis. Compare completed work against the assignment requirements. Tracks completion and on-topic writing without real-time observation.

A filled-in interval data sheet

One student, one 20-minute block, a vibrating timer every 2 minutes and a mark in one box: about 10 marks a session, 3 sessions a week, which a teacher with a full class and no aide can manage. The example rows below track sustained attention goal 2 for one student.

Weekly summary (week of 10/5):

• 2 of 3 planned sessions collected (math Monday, science Wednesday); support in place both days.
• Median 65% on task.
• Goal line this week: about 50% (a straight line from the 45% September baseline to 80% at the annual review).

Print a blank copy (one page, no sign-up): Download the interval data sheet (PDF, one page)

Review rules a case manager can apply

Collect data at least three times per week for attention behaviors. Graph the data points and use the four-point method: once you have six data points over three weeks, look at the four most recent. If all four fall below the goal line, consider adapting the intervention. If all four are above it, consider raising the target at the next IEP review. The rule comes from academic progress monitoring; using it for attention data is a reasonable adaptation, not a tested rule.

• Collect three times a week on a set schedule (for example, math on Monday and Friday, science on Wednesday). Look at the graph weekly. Once there are six data points over three weeks, the case manager reviews every two weeks against the four-point method. Formal progress reports go to families on the schedule written in the IEP (34 CFR 300.320(a)(3)).
• Name the same tool in the IEP’s “how progress will be measured” statement: the tool, the schedule and who records it.
• Expect noisy data. Behavior data swing more than academic data. A new support can bring a short spike before improvement, and medication or schedule changes show up on the graph; note them on the sheet before reading the trend.
• Check fidelity first. Before changing anything, look at the “Support in place?” column. Flat data with the support missing half the time is a delivery problem, not a goal problem.
• Below the goal line (four most recent points): check fidelity, change one thing in how the support is delivered (the cue, the interval length or the reinforcement), and collect four more points.
• Above the goal line: the student is ahead of pace; keep collecting. The goal is met only when its written criterion is met, in the settings it names.
• Changing the goal is an IEP decision. Raising the criterion or fading a support listed in the IEP happens at an IEP team meeting or through a written amendment the parent agrees to. Until then, data and progress reports measure against the goal as written.

Generalization. If a goal names one setting, probe a second with the same sheet before the annual review. A skill seen in math but not science is still tied to one room.

By grade band. In Grades K–5, use 10–15-minute blocks and 1- or 2-minute checks. In Grades 6–8, several teachers can share one sheet, each taking the same block weekly with the same on-task definition. In Grades 9–12 and 18–22 programs, longer blocks are realistic. If the student self-monitors, the teacher spot-checks 3 intervals a session, and the student’s record counts only when it matches at least 2.

How to Report Attention-Goal Progress to Families

A progress report to families can be four lines. A worked example for sustained attention goal 2:

Goal: Oriented to the speaker or materials in 80% of 2-minute checks during whole-class instruction, 3 consecutive days in each of 2 settings (math and science).
Baseline: 45% of checks in math, 50% in science (September).
Current: median 65% across the last 4 sessions (2 in math, 2 in science); graph attached.
Status and next step: On track: the last 4 points are above the goal line, and the 80% criterion isn’t met yet in either class. Next step: keep the same supports and review again at the next report.

A daily report card can carry one attention target home between formal reports, but it doesn’t replace them.

A Classroom Lesson on Staying Focused on a Goal

An IEP goal measures the behavior; older students also benefit from language for getting started and staying with a goal. The Grade 12 lesson “Getting Motivated,” part of Ori Learning’s Emotional Well-Being Curriculum for whole-class teaching in grades 6–12, is built around that distinction: “Motivation is what enables you to get started even when a task feels extra difficult! Willpower is what it takes to stay focused on your goals.”

Students sort examples into motivation or willpower, discuss a quote from football coach Vince Lombardi in a collaboration activity, and name intrinsic and extrinsic motivators. They then build a “Getting Motivated” handout for a real goal and answer, “How will you stay focused and avoid distractions to increase your willpower?”

This is a high school lesson. For a student with an attention-related disability, focus isn’t a matter of trying harder, so the practical piece is the lesson’s strategy list, including “Being aware of what distracts you and limiting them.” A student’s own list of distractions can become the items on a self-monitoring checklist (sustained attention goal 6).

Frequently Asked Questions

How many focus and attention IEP goals should a student have?

Most students do best with one to three focus and attention goals per IEP cycle. Target the one or two skill categories where baseline data shows the largest gap between current performance and grade-level expectations. More attention goals than that spread instruction thin and make progress monitoring hard to keep up with. If a student has needs in all five categories in this article, start with the skills that most limit access to academic work, usually sustained attention and shifting attention onto a new task, and come back to the other areas at the annual review.

What are good IEP goals for students with ADHD?

Good IEP goals for students with ADHD target specific attention behaviors an adult can observe, chosen from the student’s own assessment data rather than from the diagnosis. Two students with the same ADHD diagnosis can need goals in different categories: one may lose focus partway through independent work, another may miss the start of every task. Every goal should include a baseline, a condition, an observable behavior, measurable criteria, and a named data collection method. For eligibility questions and goals beyond attention, see our guide to IEP goals for students with ADHD.

How do you measure attention and focus in an IEP?

Take a baseline first: three to five sessions of data with the same method the goal will use, so the starting point and the target are in the same unit. Attention is measured by direct observation with a structured data collection method. Momentary time sampling works well for sustained attention: at the end of each timed interval, check whether the student is on task, then calculate the percentage of intervals on task. Frequency counts track discrete behaviors, such as the number of teacher redirects needed per class period. Latency recording measures how quickly a student starts: the time between a direction and the start of work. Collect data in more than one setting and at different times of day, because attention often varies by subject, time of day and activity type.

What is the difference between attention accommodations and attention skill goals?

Accommodations change the environment to lower attention demands: preferential seating, extended time, reduced distractions and chunked assignments. They don’t require the student to build new skills. Attention skill goals teach the student to improve their own attention, such as staying on task longer, starting work faster and following directions more accurately. Most students need both. Accommodations give access to the curriculum now, and skill goals build independence over time. The IEP should specify which supports are accommodations (listed in the accommodations section) and which are instructional targets (listed as measurable annual goals).

Sources

1. Reuben, C., & Elgaddal, N. (2024). Attention-Deficit/Hyperactivity Disorder in Children Ages 5–17 Years: United States, 2020–2022 (NCHS Data Brief No. 499). National Center for Health Statistics. https://www.cdc.gov/nchs/products/databriefs/db499.htm
2. 34 CFR §300.320, Definition of individualized education program. https://sites.ed.gov/idea/regs/b/d/300.320
3. U.S. Department of Education (November 2024). Using Functional Behavioral Assessments to Create Supportive Learning Environments. https://sites.ed.gov/idea/idea-files/using-functional-behavioral-assessments-to-create-supportive-learning-environments/
4. Yegencik, B., Bell, B. T., & Deniz, E. (2025). School-based randomized controlled trials for ADHD and accompanying impairments: A systematic review and meta-analysis. Frontiers in Psychology, 16, 1611145. https://www.frontiersin.org/journals/psychology/articles/10.3389/fpsyg.2025.1611145/full
5. What Works Clearinghouse (December 2024). Teacher-Delivered Behavioral Interventions in Grades K-5 (Practice Guide 31). https://ies.ed.gov/ncee/wwc/practiceguide/31
6. Centers for Disease Control and Prevention. Data on ADHD in Children (updated July 2026). https://www.cdc.gov/adhd/data/index.html
7. Smith, T. E., Thompson, A. M., & Maynard, B. R. (2022). Systematic review of 75 single-case studies, Campbell Systematic Reviews, 18(1), e1223. https://pmc.ncbi.nlm.nih.gov/articles/PMC8902300/
8. CHADD. Classroom Accommodations. https://chadd.org/for-educators/classroom-accommodations/
9. IRIS Center, Vanderbilt University. IEPs: Developing High-Quality Individualized Education Programs, Page 9: Monitoring & Reporting Student Progress. https://iris.peabody.vanderbilt.edu/module/iep01/cresource/q3/p09/