How Activity Trackers Motivate Exercise, and How to Build a PE Course Around It
Every department chair who signs off on a semester of activity credit eventually asks the same question: what is the evidence behind the number in the gradebook? The research on activity tracker motivation answers that in pooled numbers. Pooled trials now quantify how much movement a wearable adds to an ordinary week, and the mechanisms behind the effect line up with decisions an instructor makes at course setup: the target, the feedback, the reward, and the amount of typing a student has to do.
What Does the Research Say About Activity Tracker Motivation?
The evidence base here is large, pooled, and consistent, so a department can adopt trackers on published effect sizes. The anchor study is an umbrella review by Ferguson, Olds, Curtis and colleagues in The Lancet Digital Health in 2022. It gathered 39 systematic reviews and meta-analyses covering 163,992 participants and reported that activity-tracker interventions were associated with roughly 1,800 additional steps per day, about 40 additional minutes of walking per day, and about one kilogram of body weight change, with physical-activity effect sizes clustered between 0.3 and 0.6. The authors described those improvements as clinically meaningful and sustained over time.
A 2022 BMJ systematic review by Larsen, Christensen, Juhl and colleagues put the same question to 121 randomized trials covering 16,743 participants and landed in the same place: a standardized mean difference of 0.42 for physical activity, equal to about 1,235 extra steps a day, plus a standardized mean difference of 0.23 for moderate-to-vigorous activity, equal to about 48.5 extra minutes a week. An umbrella review by Glisic and colleagues in Physiological Reviews in 2026, and a separate 2024 umbrella review in Sports Medicine Health Science, agree on where the effect is strongest: more steps and more movement, with moderate certainty across adult populations. Tang and Moore's 2020 review in JMIR mHealth and uHealth confirmed the benefit in healthy adults, the population a general-education PE course serves.
| Study and year | Population and size | Reported effect |
|---|---|---|
| Ferguson et al., The Lancet Digital Health, 2022 | Umbrella review, 39 reviews, 163,992 participants | About +1,800 steps per day, about +40 minutes of walking per day, about 1 kg body weight change, effect sizes 0.3 to 0.6 |
| Larsen et al., BMJ, 2022 | 121 randomized trials, 16,743 participants | Physical activity SMD 0.42, equal to +1,235 steps per day; MVPA SMD 0.23, equal to +48.5 minutes per week |
| Hodkinson et al., JAMA Network Open 2021 and JMIR 2022 | Individual-patient meta-analysis, adults with cardiometabolic conditions | Short-term physical activity SMD 0.72 over about 15 weeks; +1,656 steps per day over a median of 12 weeks |
| Chua et al., 2024 | Adults with type 2 diabetes, wearable-based interventions | Steps SMD 0.55; HbA1c SMD -0.14; BMI SMD -0.16; waist circumference SMD -0.21 |
| Hospitalized adults meta-analysis, 2024 | Adults recovering in hospital | Activity SMD 0.35; sedentary time -35.46 minutes per day; physical function SMD 0.27 |
| Casado-Robles et al., 2022 | School-aged children | Daily steps d = 0.612; daily MVPA d = 0.220; strongest effects in girls and previously inactive children |
Notice which two numbers carry most of that evidence: steps and activity minutes. Those are the two measures eFit collects and grades on its own, covered on our page about automatic activity tracking and grading.
Do Students Already Own the Devices?
Adoption data has retired the procurement objection. The Rock Health 2025 Consumer Adoption Survey found that 46 percent of U.S. adults own a wearable, and that 83 percent of wearable users wear the device at least five days a week. That second number is the one that matters for a graded course, because near-daily wear produces near-daily data. Chandrasekaran and colleagues, writing in JMIR in 2025, tracked U.S. wearable use climbing from roughly 28 to 30 percent in 2019 to 36.36 percent in 2022, and the IDC Worldwide Wearable Device Tracker showed the category still growing through 2026Q1.
For a program considering fitness trackers in physical education, the department supplies the structure and students supply the hardware. The compatible device list spells out which devices report in.
Device options for this course. Buying hardware is optional. Fitbit is the recommended device, and Apple Watch, Samsung Galaxy Watch, Garmin, Xiaomi Mi Band and Fossil smartwatches all sync, along with anything that reports to Google Health or Apple Health.
If you have no wearable. Students without a wearable can use their smartphone's built-in step counter.
Mechanism One: Effort Becomes Visible
Self-monitoring is the base mechanism underneath everything else. Zhu's 2024 review and Milne-Ives's 2023 review both identify it as a core driver of behavior change in digital physical-activity programs. Continuous, automatic capture of steps, active minutes and heart rate turns effort that a student can only estimate into a record they can read. A validation study by Germini and colleagues in JMIR in 2022 found good step-count accuracy for wrist-worn devices, the practical reason to foreground steps and activity minutes as graded measures.
In eFit, activity syncs from a connected wearable or phone app and lands in the record dated as it happens, so the wearable progress dashboard shows a day-by-day history for every student across the whole term. Students can pull steps per day by searchable dates, total steps and total activity minutes per term, average steps by day, and resting heart rate by date. A student who believed they were sedentary and discovers a 7,000-step Tuesday has learned something about themselves straight from their own record.
Mechanism Two: A Number to Aim At
Goal-setting converts "exercise more" into something a student can hit or miss on a Wednesday. Zhu and colleagues found in 2024 that it is both the most commonly used and the most effective behavior-change technique across digital physical-activity interventions, which makes it the most consequential setting an instructor configures.
The size of the goal matters. Larsen's +1,235 steps a day pictures the gap a well-set target asks a student to close: meaningful, and reachable inside an ordinary schedule. Casado-Robles and colleagues found in 2022 that effects were strongest in girls and in previously inactive children, which is the argument for making the target reachable for the least active student in the room. Set one goal for thirty students and you have set it for the ten who were already going to hit it.
eFit handles this at two levels. Instructors configure custom step goals as grading thresholds during course setup, and they can open any student's profile to set individual step goals, activity-minute targets and custom accommodations. The worked example on our adaptive goal setting page shows how three students can carry three different targets on one grading scale.
| Goal type | Daily target | Where it is set |
|---|---|---|
| Standard goal | 10,000 steps | Default class threshold configured at course setup |
| Custom goal, Student A | 5,000 steps | Set on the individual student profile |
| Alternative, Student B | 30 minutes of activity | Activity-minute target used as the graded measure |
Instructors set different goals while maintaining fair grading, so the target can match the student while the grading scale stays the same for the class.
Mechanism Three: Feedback the Same Day
The 2022 BMJ meta-analysis by Larsen and colleagues compared monitors that returned information to the wearer against monitors that quietly recorded behavior, and the feedback-providing monitors came out ahead. The feedback loop is what earns the effect size, so the number has to reach the student for the effect to appear.
The course design implication follows directly: return the number to the student while the week is still live. eFit shows students their current activity grade with daily updates alongside real-time activity trends, so the distance between where a student stands and where the grade sits is readable during the week they can still close it. Faculty see the same weekly totals, which means a Thursday conversation can be specific. When steps look low, the help center guidance is a manual sync in the fitness app and a refresh after fifteen minutes.
See the feedback loop in a working gradebook
The free demo walks through the student progress view and the weekly activity totals a faculty member sees, using a sample course you can click around in.
Book a free demoMechanism Four: Goals That Climb a Ladder
One fixed target held for fifteen weeks serves the student who was already active in week one. A goal that escalates in stages builds attainability and self-efficacy for everyone else. In 2024, a clustered trial in older adults tested that design with two-stage progressive step goals and reported improvements in physical activity along with better sarcopenia indicators. Hodkinson's individual-patient data in adults with cardiometabolic conditions supplies the timing evidence: about 1,656 additional steps a day accumulated over a median of 12 weeks, which fits comfortably inside a single term.
Weekly and semester grading reads from per-student targets that live on the student profile, so an instructor can adjust a student's target as the term progresses. The Walking Journey is that same ladder drawn on a map, since destinations sit at the distance that lets a student reach 100 percent for the activity grade.
| Weeks | Daily step target | What the student is practicing |
|---|---|---|
| Weeks 1 to 3 | Baseline observation, no target | Wearing the device daily and letting the data establish an honest starting point |
| Weeks 4 to 7 | Baseline plus about 1,235 steps | Adding one deliberate walk to an existing routine, the gain the BMJ review reports |
| Weeks 8 to 11 | Baseline plus about 1,800 steps | Holding the pooled Lancet Digital Health gain across a full week, including weekends |
| Weeks 12 to 15 | A stretch target of the instructor's choosing, or the 10,000-step standard goal | Owning the routine and choosing a target to carry past the final exam |
Mechanism Five: Rewards, Journeys, and Friendly Company
Play and reward structures are associated with measurable step gains, and a good share of the effect outlasts the novelty period. Mazeas and colleagues published a meta-analysis in JMIR Serious Games in 2022 showing that gamified interventions promote physical activity, with some effects persisting after follow-up. Meta-analyses by Nishi in 2024 and Yu in 2025 report the same pattern for app-based gamification specifically: badges, streaks and rewards reinforce repetition, and daily steps rise.
Social structures show up strongly too. The STEP UP randomized trial by Patel and colleagues, published in JAMA Internal Medicine in 2019, tested support, collaboration and competition arms among overweight and obese adults, and the competition arm produced the largest activity increase. A separate 2021 trial by Patel and colleagues in JAMA Network Open found that among adults with uncontrolled type 2 diabetes, support and competition both improved steps compared with control. That evidence is why many instructors run their own class-level recognition alongside the software.
eFit's own gamification feature is the Walking Journey, built around individual progress toward a distance goal.
Setting up the Walking Journey takes three decisions. Pick a starting point, which can be your campus or anywhere in the world. Pick a destination from the list of places at the distance that lets students reach 100 percent for the activity grade. Then decide the reward for distance walked, which can be as generous as an answer to an exam question or as simple as a congratulations.
For a class-level display alongside that, our post on engaging Gen Z students in PE covers recognition this age group responds to, and our guide to what FERPA means for a class display covers the boundaries. Use effort measures such as activity minutes or consistency streaks, keep participation voluntary, and keep body composition off public view.
Mechanism Six: A Loop With Almost No Friction
Habits form through repeated self-regulation, and repetition survives when the loop costs the student almost nothing. The 2023 Schwarz review catalogued the pattern in its survey of design features associated with engagement in mobile health physical-activity interventions among youth, and Milne-Ives and colleagues reported a matching list the same year. Engagement holds when syncing is automatic, manual entry is minimal, the goal and the gap read in seconds, progress feedback is visible, reminders arrive in context, rewards and streaks are present, and a human is available alongside the app. The evidence points to one prompt design rule: fewer, smarter, more contextual prompts.
That loop is what eFit is built around. Steps, activity minutes and heart rate sync automatically throughout the day, so exercise adherence stops depending on whether a student remembers to write anything down. Connecting a device at the start of term takes less than two minutes. Automatic email reminders go out for fitness assessments, assignments and low activity, with dashboard alerts alongside them. The human support line in the research maps to the instructor, who can see weekly activity totals for every student and open the conversation from there. Our page on data that flows in without manual logging walks through the sync path from device to gradebook.
Mechanism Seven: Coaching That Speaks to One Student
Personalized feedback, self-set goals, adjustable difficulty and genuine interpretation of the data all raise engagement, which Schwarz and colleagues documented in 2023. Wu's 2023 work, a 2024 network meta-analysis, and a 2025 JMIR study of older adults by Li all report that combined interventions, meaning a tracker plus coaching or structured exercise, outperform tracker-only programs. Biofeedback belongs in the same family: information about heart rate and recovery connects a daily habit to how a student feels and performs.
The coaching layer sits on top of the tracker through AI-powered personalization:
- GPT-powered custom workouts. Weight training routines, cardiovascular workouts and meal plans with a shopping list, generated from a student's age, height, weight, fitness level and goals, with the option to attach a description and a video to each exercise. Each one is assigned automatically from the goal the student selects.
- Weight training logs. Sets, reps and weights recorded against a built-in exercise library with video demonstrations, which makes strength progress as visible as step counts.
- Personalized Health and Fitness Summary. An auto-generated report that puts meaning to the data as it relates to that one student, with resting heart rate trends over time supplying the biofeedback piece.
- The PocketAI Journal. Entries link to activity data, optional guided prompts are available, and content stays private by default with the student controlling what, if anything, they share.
How Do You Turn This Into a Course You Can Grade?
Every mechanism above becomes durable once it carries points and produces evidence a dean can read. Three findings shape the structure. Hodkinson's short-term effect size of 0.72 in adults with cardiometabolic conditions accumulated over about 15 weeks, which is the length of a semester, so one term is a reasonable window in which to look for movement. Germini's 2022 JMIR validation work supports grading steps and activity minutes specifically. And Casado-Robles reported an effect size of 0.612 for daily steps with the strongest gains among previously inactive students, which is the equity-of-outcome argument a chair will want in the proposal. Here is a build order that works.
- Configure the grading first. Set your grading thresholds at course setup and let weekly and semester grades calculate on your own point scale.
- Bracket the term with evidence. Run pre and post fitness assessments: the pushup test scored on age and gender norms, the one-minute crunch test, the 1-Mile Walk Test with automatic VO2MAX calculation from time, heart rate, weight, age and gender, BMI, and optional weight. Absolute and percentage improvement calculate automatically.
- Plan the report upward. Class-wide analytics, cross-term comparison, and CSV or PDF export give you the appendix a program review or accreditation self-study asks for, laid out on our higher education solutions page.
- Move grades to your system of record. Export grades in the correct CSV format and import them into D2L Brightspace, Canvas, Blackboard Learn or Moodle. Our LMS grade export page shows the three-click version.
- Budget the adoption honestly. Setting up a first course takes about 15 minutes with free onboarding support, training webinars run every semester, and the platform saves 10+ hours per semester. Faculty accounts are free and student access is $59 per semester, with the details on our pricing page.
- Bring the scale proof. More than 50 institutions run eFit, and 17,000+ students have been served cumulatively to date. Our post on proving your program works with data covers how to present that internally.
Key Takeaways
- Pooled evidence across 39 reviews and 163,992 participants associates tracker-based programs with about 1,800 more steps a day.
- Feedback is the active ingredient: the BMJ review found feedback-providing monitors outperformed monitors that only recorded.
- Goals work best when they are specific, personal, and set to climb across the term.
- Gamified structures raise daily steps, and some of the gain persists past the program.
- Automatic sync and low logging burden are what keep students in the loop for fifteen weeks.
- Steps and activity minutes are the best-validated outputs, which makes them the fairest things to grade.
Frequently Asked Questions About Activity Tracker Motivation
Do activity trackers actually increase how much people exercise?
Yes. An umbrella review in The Lancet Digital Health in 2022 pooled 39 systematic reviews covering 163,992 participants and found activity-tracker interventions were associated with about 1,800 additional steps per day and about 40 additional minutes of walking per day, with effect sizes of roughly 0.3 to 0.6. A 2022 BMJ review of 121 randomized trials with 16,743 participants reported a standardized mean difference of 0.42 for physical activity, equivalent to about 1,235 extra steps per day.
What makes some activity trackers more motivating than others?
Feedback. The 2022 BMJ meta-analysis found that monitors providing feedback outperformed monitors that only recorded behavior, which makes the return of information to the student the single most important design choice in a tracker-based program. Goal-setting, progressive targets, timely reminders, rewards, and personalized coaching build on that foundation.
Do students need to buy a fitness tracker for a PE course that uses eFit?
Buying hardware is optional. Fitbit is the recommended device, and Apple Watch, Samsung Galaxy Watch, Garmin, Xiaomi Mi Band and Fossil smartwatches all sync, along with anything that reports to Google Health or Apple Health. Students without a wearable can use their smartphone's built-in step counter.
Which activity measures are fair to put in a grade?
Steps and activity minutes. A 2022 JMIR validation study by Germini and colleagues found good step-count accuracy for wrist-worn devices, which makes step totals and activity minutes the best-supported measures to score. eFit grades both against the goals you set, weekly and at semester, and lets you set individual step goals and activity-minute targets for any student who needs them.
How long does it take to see a change in student activity?
A semester is a reasonable window. An individual-patient meta-analysis by Hodkinson and colleagues, reported in JAMA Network Open in 2021 and JMIR in 2022, found a standardized mean difference of 0.72 for short-term physical activity in adults with cardiometabolic conditions over about 15 weeks, and an increase of about 1,656 steps per day over a median of 12 weeks. A 2022 study of school-aged children by Casado-Robles and colleagues found an effect size of 0.612 for daily steps, with the strongest effects among girls and previously inactive children.
The research points at a short list of design choices, and an instructor controls all of them. Make effort visible. Set a personal target. Return the number the same day. Let the target climb across the term. Attach a reward worth walking for. Keep the logging burden near zero. A PE course can implement every one of those inside a single semester, and the grade is what makes them stick.
If you want to watch that loop run on a real gradebook, book a free demo and bring a course you already teach. Setting up a first course takes about 15 minutes. No credit card to book, faculty accounts are free, student access is $59 per semester, and we reply within 24 hours.
eFit Editorial Team
Insights and perspectives from the eFit Software team, drawing on decades of combined experience in physical education, kinesiology, and educational technology.