Free Classroom Tools for Focus and Self-Regulation — and the Research on Why They Work

I build a small collection of free browser tools at lans.cloud, and the classroom ones get used more than anything else I've made. Teachers write in about them, which is how I ended up reading a lot more education research than I expected to. This post is the result: four everyday smartboard tools, the actual pedagogy behind each one, and an honest note on where the evidence stops and practitioner habit begins.

Everything I link is free, needs no account, and runs entirely in your browser — nothing you or your students do is uploaded anywhere. The classroom tools also have a fullscreen mode with no ads in it, specifically so you can throw them on a smartboard without a banner sitting in front of thirty children. If you just want the whole set, it lives at lans.cloud/classroom-tools.

Let me take the four in turn.

Visual timers: making time you can see

Ask a seven-year-old to "work quietly for ten minutes" and you've asked them to track something they can't perceive well yet. Time estimation is an executive-function skill, and it develops slowly. For some kids it develops much more slowly than for others.

This is well documented in the ADHD literature. A 2022 meta-analysis by Zheng, Wang, Chiu and Shum in the Journal of Attention Disorders pooled 27 studies (1,620 children and adolescents with ADHD, 1,249 controls) and found consistent, sizeable timing deficits: kids with ADHD judged durations both less accurately and less precisely than their peers, with the precision gap at a Hedges' g of 0.66 — a moderate-to-large effect (Zheng et al., 2022). The popular shorthand for this is "time blindness," and a research summary from the ADHD Evidence project frames it the same way: impaired time perception shows up as a consistent feature of ADHD, not a motivation problem.

Here's the honest bit. The research above establishes that the deficit is real. It does not, on its own, prove that a specific countdown widget fixes it. What a visual timer does is externalise the estimate — it turns an invisible quantity into a shrinking coloured wedge you can point at. That's a reasonable scaffold for a skill a child hasn't internalised, and it's why visual timers are a staple in special-education and early-years settings. Treat it as good practice with a solid theoretical basis, not as a clinically proven intervention, and you'll be pitching it right to your colleagues.

Practically, a few things matter on a smartboard. Make the remaining time a shape or a bar, not just digits — the whole point is that a struggling student shouldn't have to do arithmetic to know how long is left. Keep the end signal gentle; a soft chime beats a jarring alarm, especially for anxious kids or those with sensory sensitivities. And use it for transitions, not just tasks ("three minutes until we pack away") — transitions are where the time-blind student gets caught out.

My plain countdown is at lans.cloud/classroom-timer. If you want the timer sitting alongside the date, a random picker and other widgets on one board, that's the classroom screen — the all-in-one dashboard version.

Noise meters: handing the monitoring to the class

A noise meter is a microphone reading turned into a visual — a bar or a needle that climbs into the red when the room gets loud. The temptation is to read it as a discipline gadget. That's the wrong frame, and the wrong frame makes it work worse.

The useful frame is self-regulation. In a well-managed room, the teacher is the only person monitoring volume, which means every correction has to come from you. An ambient visual signal changes that: the class can see their own level and adjust before you say anything. The monitoring gets distributed.

The closest solid evidence I found is a 2023 study by Sarfaty and Ben-Eliyahu in Frontiers in Psychology. They ran an eight-week "voice regulation training program" in preschools — songs, games, visual aids, a "volume button" metaphor — framed explicitly through self-regulated learning. The experimental group lowered and sustained lower noise levels, and the authors report the children also showed gains in self-regulation skills like planning (Sarfaty & Ben-Eliyahu, 2023). I want to be straight about the gap here: that study is a whole training program, not a digital meter on a screen. What it supports is the underlying principle — teaching volume awareness through visual, self-monitored feedback genuinely reduces noise and builds regulation. The on-screen meter is one lightweight way to deliver that feedback loop; it isn't the thing that was tested.

So use it as a self-management prompt, not a punishment. Set the threshold with the class, name what each zone is for ("group-work green," "silent-reading blue"), and let the visual do the nudging. If you narrate it at all, narrate it as a team goal rather than a callout. The meter is at lans.cloud/classroom-noise-meter, and like the rest it runs locally — the audio is analysed in the browser and never leaves the device or gets recorded.

Random name pickers: the "no hands up" idea, automated

This is the tool with the strongest pedagogical pedigree of the four. When you take answers by hands-up, you learn what your most confident students think, and you let everyone else quietly opt out. The fix has a name in the formative-assessment world: "no hands up," or cold calling — the teacher chooses who answers.

The practice is closely associated with Dylan Wiliam's work on formative assessment (his book Embedded Formative Assessment is the standard reference), and the rationale is sharper than "make quiet kids talk." As Tom Sherrington puts it in his write-up of the technique, when it could be anyone, "everyone mentally prepares an answer to every question in readiness for being selected" — the goal is that "everyone is made to think," not just the one student who ends up speaking (Sherrington, 2021). Cold calling also gives you better assessment information: a correct answer from your strongest student tells you nothing about the other twenty-nine.

A random name picker is just this practice, made visibly fair. Because the machine draws the name, no student can read it as you singling them out, which lowers the social stakes — and that stakes-lowering is the part Wiliam's approach insists on. It also quietly fixes the "same four hands every time" problem without you having to keep a tally in your head.

Two cautions, because cold calling done carelessly backfires. Pair it with enough thinking time before the draw, so being picked isn't an ambush. And keep it genuinely low-stakes — "pass and come back to me" should be allowed — or you recreate the anxiety you were trying to remove. Used well, it's the most evidence-aligned habit on this list. The picker is at lans.cloud/random-name-picker; paste your class list once and draw all lesson.

Scoreboards and points: useful, but handle with care

I'll end with the one I'm most cautious about, because the honest answer is genuinely mixed.

A points display taps real motivational levers — visible progress, a shared goal, a bit of friendly competition. A 2024 meta-analysis by Li, Hew and Du in Educational Technology Research and Development looked at 35 gamification studies (around 2,500 learners) and found a positive but small overall effect on motivation (Hedges' g = 0.257), strongest on students' sense of autonomy and relatedness and weakest — essentially minimal — on their sense of competence (Li et al., 2024). So points can help, but the effect is modest, and it's not the automatic engagement boost the marketing around classroom gamification implies.

The bigger caution is older and better established: the overjustification effect. In the classic 1973 field experiment, Lepper, Greene and Nisbett rewarded preschoolers for drawing — something they already enjoyed — and the children who'd been promised a reward later chose to draw noticeably less than those who hadn't (Lepper, Greene & Nisbett, 1973). Attach an external reward to something a child already finds interesting, and you can crowd out the interest itself. Points on a board are exactly that kind of external reward.

So I won't oversell my own scoreboard. The reasonable read of the evidence is: use points sparingly, for team goals and short bursts rather than as the permanent currency of your classroom, and lean toward rewarding effort and collaboration over ranking individuals. Watch what happens when the points go away — if the behaviour collapses, the points had replaced the motivation rather than supported it. If you want a clean, fast one for those moments, it's at lans.cloud/classroom-scoreboard. Just don't make it the centre of gravity.

A few more for the smartboard

The four above are the ones teachers email me about most, but the set has grown around the same self-regulation ideas. For transitions and movement breaks there's a brain break generator and a station rotation timer; for volume, a classroom traffic light and a voice level chart that names each zone the way the noise meter does; and for the quieter jobs, a test grade calculator for fast marking and a bank of would-you-rather questions for kids for a low-stakes discussion warm-up. All free, all in-browser, all gathered on the classroom tools hub.

A note for schools

None of these need installing, none ask your students to log in, and none send data anywhere — the audio, the names, the scores all stay in the browser on the board. That's deliberate: it keeps the tools compatible with school privacy policies and means there's nothing to provision or approve. If you're evaluating them for a whole school or want the privacy specifics in one place, I've written that up at lans.cloud/for-schools.

If there's a classroom tool you wish existed, tell me — a good chunk of what's on the site started as an email from a teacher. And if you use any of these, I'd genuinely like to know whether the research framing above matches what you see on the carpet in front of you. The papers only get you so far; you're the one running the experiment every day.