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Channel

Digital Learning (канал)

@ielearning

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Telegram's recommendations · Cite this entry

15,263subscribers

-237 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001358546619
TypeChannel
Username@ielearning
Created28 December 2017 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live18 September 2026
Measurements held35
Confirmed unchanged1 time, most recently 18 September 2026
On Telegramt.me/ielearning

Topic

Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 10 September 2026 and assigned it the closest of 31 fixed categories, at 99% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.

Growth

15,26315,50015,381.56 August 2026 — 15,500 subscribers6 August 2026 — 15,500 subscribers6 August 2026 — 15,495 subscribers8 August 2026 — 15,477 subscribers9 August 2026 — 15,474 subscribers9 August 2026 — 15,467 subscribers11 August 2026 — 15,449 subscribers11 August 2026 — 15,442 subscribers12 August 2026 — 15,437 subscribers14 August 2026 — 15,484 subscribers15 August 2026 — 15,480 subscribers16 August 2026 — 15,472 subscribers17 August 2026 — 15,462 subscribers18 August 2026 — 15,453 subscribers19 August 2026 — 15,437 subscribers20 August 2026 — 15,423 subscribers22 August 2026 — 15,419 subscribers23 August 2026 — 15,405 subscribers25 August 2026 — 15,395 subscribers26 August 2026 — 15,391 subscribers27 August 2026 — 15,382 subscribers28 August 2026 — 15,371 subscribers29 August 2026 — 15,367 subscribers30 August 2026 — 15,360 subscribers31 August 2026 — 15,358 subscribers1 September 2026 — 15,353 subscribers2 September 2026 — 15,340 subscribers3 September 2026 — 15,331 subscribers4 September 2026 — 15,314 subscribers8 September 2026 — 15,295 subscribers10 September 2026 — 15,320 subscribers12 September 2026 — 15,307 subscribers14 September 2026 — 15,308 subscribers16 September 2026 — 15,290 subscribers18 September 2026 — 15,263 subscribers6 August 202618 September 2026
35 measurements spanning 44 days, net -237. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 15,227–15,536 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 35
Measured (UTC)SubscribersChange
18 Sept 2026, 17:2015,263-27
16 Sept 2026, 08:5915,290-18
14 Sept 2026, 14:4215,308+1
12 Sept 2026, 22:4115,307-13
10 Sept 2026, 22:0115,320+25
8 Sept 2026, 00:5815,295-19
4 Sept 2026, 21:5815,314-17
3 Sept 2026, 09:0415,331-9
2 Sept 2026, 04:5515,340-13
1 Sept 2026, 08:1515,353-5
31 Aug 2026, 05:1315,358-2
30 Aug 2026, 02:1215,360-7
29 Aug 2026, 04:3315,367-4
28 Aug 2026, 01:2215,371-11
27 Aug 2026, 03:3815,382-9
26 Aug 2026, 01:5415,391-4
25 Aug 2026, 03:4815,395-10
23 Aug 2026, 23:1415,405-14
22 Aug 2026, 09:3715,419-4
20 Aug 2026, 21:4515,423first reading

Engagement

80 posts held, back to 28 July 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 53 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
1.80%
avg views ÷ 15,263 subscribers
Avg views / post
275
13 posts measured
Reaction rate
1.12%
reactions ÷ views · ER floor
Posts in window
13
of 80 held

ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.

ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate. It is computed over the 12 of 13 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 3 September 2026
Posts held80 (28 July 2026 – 3 September 2026)
Views total3,578
Reactions total37
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken3 Sept 2026, 10:50 UTC

Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.

Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.

Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.

What this channel posts

Video runtime
6m 25s
Average length
1m 17s

Measured directly from 5 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.

Reaction mix

246 reactions across 58 posts, in 5 distinct kinds. The most used accounts for 40.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥9940.2%
👍9137.0%
❤5020.3%
🤝41.63%
🤩20.813%

No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.

Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.

Coverage. Reactions were read on 60 of the 80 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 254 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 80 most recent posts we hold, published 28 July 2026 to 3 September 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.

Recent posts

3 Sept 2026, 09:59 UTC74 views3 reactionsread 3 September 2026
Photo

8 сентября, 11:00 мск. Онлайн. Участие бесплатное. Два кейса-победителя Премии Digital Learning 2025. Гознак потратил миллионы на цифровизацию и едва не потерял их. Авито Путешествия встроили обучение прямо в продукт и выросли. Два кейса. Одна встреча. Спикеры - победители Премии Digital Learning Два вопроса, на которые вы получите ответ: ➡️ Как связать архитектуру цифровых решений с архитектурой обучения — чтобы …

❤2👍1

3 Sept 2026, 04:59 UTC201 views2 reactionsread 3 September 2026
Photo

Если вам знакомо: - бизнес просит «провести обучение», но не может объяснить, какую проблему оно должно решить; - после обучения сотрудники довольны, но работают по-прежнему; - запросов всё больше, а показать влияние на бизнес всё сложнее; - команда думает форматами — тренинг, курс, вебинар. L&D Transformation Lab — не про создание курсов. Мы начинаем не с формата, а с бизнес-результата и реального поведения. 8 не…

👍1🔥1

2 Sept 2026, 10:03 UTC252 views2 reactionsread 3 September 2026
Photo

🚀 Digital Learning ДВИЖ «НезаменИИмые» — это новая концепция и новая площадка для вашей любимой конференции «Digital Learning 2026: ИТОГИ ГОДА» и финала Премии Digital Learning 2026! Не конференция. Не форум. Движение! 🚀 19 ноября в Москве мы запускаем Digital Learning ДВИЖ «НезаменИИмые». Это не скучная конференция и не пафосный форум. Это ДВИЖ — сила в действии! ДВИЖ - главное мероприятие для участников сообществ…

👍1🔥1

2 Sept 2026, 05:01 UTC263 views9 reactionsread 3 September 2026
Video

Gauth, Seedance и нейрослоп на службе школьного образования Gauth — это ИИ-сервис для помощи школьникам от ByteDance (компания-владелец TikTok). Изначально сервис задумывался как умный подсказчик по математике. Школьник фотографирует задачу (система распознает рукописный текст на большинстве языков), и ИИ выдает решение с пошаговым объяснением. Т.е. это не решебник, который позволяет получить пятерку не напрягая го…

👍5🔥3❤1

1 Sept 2026, 14:59 UTC267 viewsread 3 September 2026
Photo

📅 9–11 сентября в Москве состоится IX Всероссийский форум «КОРПОРАТИВНОЕ ОБУЧЕНИЕ И РАЗВИТИЕ ПЕРСОНАЛА 2026» — три дня практики, кейсов и профессионального общения для тех, кто отвечает за развитие людей в компаниях. Пока одни команды только обсуждают возможности AI, другие уже встраивают его в обучение, тестируют AI-тренеров, автоматизируют процессы и пересматривают роль L&D. Пока одни продолжают считать количество…

1 Sept 2026, 13:01 UTC236 views2 reactionsread 3 September 2026

Колонка главреда. Август Друзья, август мы посвятили теме «Персональная траектория и карьерный разворот: как собрать свой рост перед новым сезоном». Получился месяц большой профессиональной пересборки. Мы говорили о карьерных разворотах и профессиональных потолках, внутренних переходах и выходе за пределы компании, портфолио, выборе обучения и развитии через реальные рабочие задачи. А ещё продолжали исследовать буду…

❤1🔥1

Signed Alena Petrusenko

1 Sept 2026, 10:03 UTC311 views2 reactionsread 3 September 2026
Photo

У вас есть образовательный проект, которым вы гордитесь? ⏱️Всего 30 дней до дедлайна Премии Digital Learning 2026! Курс, программа, тренажёр, экосистема — то, на что команда потратила кучу времени и вложила душу! Внутри сказали «неплохо». Снаружи этот проект почти никто не видит. Не потому что он слабый. Потому что внутри оценка всегда своя. До 1 октября его ещё можно оказаться рядом с теми, кого уже смотрят 20 эк…

👍1🔥1

1 Sept 2026, 06:59 UTC283 views8 reactionsread 3 September 2026

С Днём знаний, уважаемые коллеги 📚 С вами Осипов Михаил. Думаю, уже никого не удивить тем, что искусственный интеллект помогает формулировать результаты обучения, проектировать задания, разрабатывать раздаточные материалы и выполнять ряд других методических задач. А что если следующий сдвиг произойдёт в отношение образовательного опыта? В книге Learning Experience Design Дональд Кларк пишет следующее: Обучение — …

👍5🔥3

Signed Михаил Осипов

31 Aug 2026, 14:00 UTC297 views1 reactionsread 3 September 2026
Photo

Банковский HR Tech: лучшие во всём 🏆 18 сентября, 11:00. Онлайн. Первая встреча серии «Банковский L&D» сообщества Digital Learning. Для L&D, HR Tech и корпоративных университетов банков. Последние годы банки снова и снова оказываются среди лучших: в обучении, в автоматизации HR, во внедрении ИИ, на Премии Digital Learning. Хотим разобрать это вслух — с теми, кто это делает. О чём разговор: ➡️ Почему лучшее обучен…

🔥1

31 Aug 2026, 09:00 UTC285 views3 reactionsread 3 September 2026

Learning Discovery: как исследовать потребности в обучении по-продуктовому Корпоративное обучение часто начинают с вопроса «какие курсы вам нужны в этом сезоне», хотя такая формулировка плохо помогает увидеть реальную потребность. Сотрудник не всегда может точно определить, чему его нужно учить, потому что он видит только свою часть проблемы. Он может попросить обучение по переговорам, аналитике или коммуникации, н…

👍2🔥1

Signed Варвара Егорова | Методолог

31 Aug 2026, 05:02 UTC333 views1 reactionsread 3 September 2026

Доброе утро, друзья! 🤩🤩🤩 #дайджест_мероприятий Сегодня Международный день блога — пишите, раскрывайте вашу экспертизу, развивайте личный бренд! А мы начинаем неделю с дайджестом от сообщества Digital Learning — не пропустите самое главное! 🗓 08.09.26 11:00 — Онлайн Онлайн-встреча сообщества Digital Learning «Лучшие практики в обучении #16: кейсы победителей Премии Digital Learning 2025» 🗓 15.09.26 19:00 — Онлай…

🔥1

Signed Alena Petrusenko

30 Aug 2026, 09:42 UTC343 views2 reactionsread 3 September 2026
Photo

Гознак потратил миллионы на цифровизацию и едва не потерял их. Авито Путешествия встроили обучение прямо в продукт и выросли. Два кейса. Одна встреча. Спикеры - победители Премии Digital Learning. 🪩 8 сентября в 11:00 мск — разбираем два проекта, которые взяли призовые места на Премии Digital Learning 2025. Не презентации «для галочки», а реальные инструменты с измеримым результатом. Два вопроса, на которые вы полу…

👍1🔥1

Showing the 12 most recent of 80 posts we hold for @ielearning. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.

Posts edited after publishing

@ielearning edited 3 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
31 August 2026
Most recent edit
31 August 2026

Forward network

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

Mentions

Named by 5 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.

A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

Теории и Практики
@tandp_ru · 22,235
Telegram ranks this channel #7 of 100 here — alongside 99 others — read 21 September 2026
Живое обучение
@prolearning · 20,688
Telegram ranks this channel #9 of 100 here — alongside 99 others — read 26 September 2026
СберУниверситет
@sber_university · 24,091
Telegram ranks this channel #11 of 100 here — alongside 99 others — read 17 September 2026
Актион Образование
@action_obrazovanie · 37,106
Telegram ranks this channel #19 of 95 here — alongside 94 others — read 1 September 2026
Школа мышления. Вояж в страну загадок.
@shkolamishleniA · 22,743
Telegram ranks this channel #25 of 97 here — alongside 96 others — read 20 September 2026
Эдтехно | образование
@edtexno · 21,287
Telegram ranks this channel #27 of 99 here — alongside 98 others — read 24 September 2026
Образование, которое мы заслужили
@ru_education · 42,533
Telegram ranks this channel #27 of 98 here — alongside 97 others — read 29 August 2026
Диссертация | Наталья Киреева | О научных статьях и диссертациях
@kireeva_science · 20,893
Telegram ranks this channel #33 of 96 here — alongside 95 others — read 25 September 2026
Секреты PowerPoint
@PPTSECRETS · 24,293
Telegram ranks this channel #33 of 84 here — alongside 83 others — read 16 September 2026
Skillbox: образовательная платформа
@skillboxru · 36,669
Telegram ranks this channel #33 of 97 here — alongside 96 others — read 3 September 2026
факультет
@studyfaculty · 43,981
Telegram ranks this channel #57 of 97 here — alongside 96 others — read 5 September 2026
Наука и университеты
@naukauniver · 43,122
Telegram ranks this channel #57 of 97 here — alongside 96 others — read 28 August 2026
Нетология
@netology_ru · 27,487
Telegram ranks this channel #59 of 96 here — alongside 95 others — read 10 September 2026
Вакансии в образовании
@edujobs · 65,872
Telegram ranks this channel #66 of 99 here — alongside 98 others — read 21 August 2026
ОбОбраз
@ob_obraz · 30,398
Telegram ranks this channel #81 of 100 here — alongside 99 others — read 7 September 2026

This channel appears in 15 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

Cite this entry

A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 18 September 2026 — this entry's latest reading, not the date you are reading this.

“Digital Learning (канал)” (@ielearning), 15,263 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/ielearning.

Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.