Telegram RegisterThe public register of Telegram
Telegram profile photo for Digital Learning (канал)

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

15,102subscribers

-398 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
DescriptionКанал сообщества Digital Learning - самое уютное и продуктивное сообщество про современное обучение! Наш чат: @npsonline Лидер - Павел Безяев @PavelBezyaev Сайт: https://digital-learning.ru РКН: 002296 #WN9GZ
Created28 December 2017 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live11 November 2026
Measurements held63
Confirmed unchanged1 time, most recently 11 November 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 the other topics.

Growth

15,05015,50015,27515,1026 August 202611 November 2026
63 measurements spanning 97 days, net -398. 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 14,983–15,568 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 63
Measured (UTC)SubscribersChange
11 Nov 2026, 03:0915,102-7
9 Nov 2026, 14:5015,109-8
8 Nov 2026, 05:5915,117-5
5 Nov 2026, 19:0015,122+18
4 Nov 2026, 15:4815,104-7
3 Nov 2026, 16:4615,111-2
2 Nov 2026, 17:1515,113-10
31 Oct 2026, 15:3615,123-3
30 Oct 2026, 18:3115,126-5
29 Oct 2026, 18:1015,131+81
28 Oct 2026, 19:2715,050-8
27 Oct 2026, 18:0515,058-7
26 Oct 2026, 14:5515,065-5
25 Oct 2026, 13:0915,070-3
24 Oct 2026, 11:0015,073-1
23 Oct 2026, 11:4915,074-7
22 Oct 2026, 11:0915,081-9
21 Oct 2026, 06:0015,090-1
20 Oct 2026, 03:5915,091-6
19 Oct 2026, 04:2615,097first reading

Engagement

120 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 70 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.41%
avg views ÷ 15,102 subscribers
Avg views / post
365
40 posts measured
Reaction rate
1.54%
reactions ÷ views · ER floor
Posts in window
40
of 120 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 37 of 40 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 11 November 2026
Posts held120 (28 July 2026 – 11 November 2026)
Views total14,586
Reactions total207
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Nov 2026, 07:00 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

Photos
≈3,420
Videos
≈238
Links
≈4,240

Lifetime counters from Telegram’s own channel header, read 11 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Video runtime
17m 00s
Average length
1m 33s

Measured directly from 11 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

453 reactions across 95 posts, in 6 distinct kinds. The most used accounts for 40.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍18240.2%
🔥17438.4%
❤8719.2%
🤝61.32%
🤗20.442%
🤩20.442%

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 97 of the 120 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 461 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 120 most recent posts we hold, published 28 July 2026 to 11 November 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

Telegram’s own ‘edited’ marker: 3 of 40 posts held from the last 30 days (7.50%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

11 Nov 2026, 05:01 UTC145 views5 reactionsread 11 November 2026
Video

Продолжаю играться с генерацией видео в Claude. И, пожалуй, это последний пост на эту тему (пока 😄). В этот раз решил попробовать что-то более прикладное для e-learning — собрать небольшой учебный материал. Для примера взял SCAN — фреймворк, который помогает разобраться, как распределяются роли и ответственность между человеком и ИИ при выполнении задач. Получилось короткое видеообъяснение. Не полноценный учебный …

👍2🔥2❤1

10 Nov 2026, 15:03 UTC263 views5 reactionsread 11 November 2026
Photo

#нашипартнеры Знакомьтесь. Это реальный интерактив. Мы — «Интерактивное видео». Создаем интерактивные видеотренажеры для корпоративного обучения, в которых сотрудник или руководитель не остается зрителем: он попадает в реалистичную рабочую ситуацию, принимает решение, видит последствия и получает обратную связь. То есть тренирует не «правильный ответ в тесте», а поведение, которое потом понадобится в работе. ❤ Чем…

🔥3❤1👍1

10 Nov 2026, 10:02 UTC300 views2 reactionsread 11 November 2026
Photo

Друзья, у вас всего 7 дней, чтобы попасть на Digital Learning ДВИЖ «НезаменИИмые»!🚀 Digital Learning ДВИЖ «НезаменИИмые» — это новая концепция и 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. Э…

❤2

10 Nov 2026, 06:59 UTC308 views13 reactionsread 11 November 2026
Video

Искусственный интеллект изменит работу методистов и педагогических дизайнеров сильнее, чем нам кажется. Коллеги, хочу поделиться с вами небольшим фрагментом своего выступления, в котором я попытался сформулировать собственное видение того, как будет меняться проектирование образовательных продуктов по мере развития искусственного интеллекта. На мой взгляд, мы слишком сильно сосредоточились на возможностях нейросете…

❤6👍5🔥2

Signed Михаил Осипов

9 Nov 2026, 15:03 UTC311 views5 reactionsread 11 November 2026
Photo

#нашипартнеры Игры для обучения можно делать 2 дня, а не полгода. Что прямо сейчас меняется в игровых форматах Мы в Center-Game почти 15 лет создаём игровые решения для бизнеса и образования: деловые игры, тренажеры, геймифицированные цифровые продукты, обучающие и просветительские форматы. Раньше любые такие разработки занимали у нас месяцы. Сейчас мы научились объединять нашу экспертизу с AI-инструментами — и дел…

👍3❤2

9 Nov 2026, 10:01 UTC319 views1 reactionsread 11 November 2026
Photo

Не рассказать, а прожить: как онлайн-симуляция вовлекает руководителей и помогает переносить знания в работу Знакомая картина: синхронная онлайн-сессия для руководителей, камеры выключены, участники отвечают на письма. Знания вроде бы дали, а в работе ничего не меняется. При этом навыки управления изменениями сейчас особенно нужны: по данным бизнес-школы СКОЛКОВО, их развивают у руководителей 55% компаний. Но такой…

👍1

9 Nov 2026, 05:03 UTC329 views4 reactionsread 11 November 2026

Доброе утро, друзья! 🤩🤩🤩 #дайджест_мероприятий Сегодня Международный день науки и мира — праздник содействия международному сотрудничеству между учеными. А мы начинаем неделю с дайджестом от сообщества Digital Learning — не пропустите самое главное! 🗓 11.11.26 11:00 — Онлайн Что будет с развитием руководителей в 2027 году 🗓 11.11.26 16:00 — Онлайн Внешнее обучение: что выбирают компании и какие результаты получ…

👍2🔥2

Signed Alena Petrusenko

7 Nov 2026, 11:03 UTC348 views2 reactionsread 11 November 2026
Photo

РЕЗОНАНС: новогодний онлайн-корпоратив Digital Learning 🥂 Весь год мы обсуждали тренды, спорили о технологиях, делились опытом, искали решения и помогали друг другу. А теперь предлагаем собраться своей DL-тусовкой, чтобы вместе проводить 2026 год! 27 ноября в 11:00 мск приглашаем всех на новогодний онлайн-корпоратив сообщества Digital Learning. Только свои, живое общение, немного праздничного настроения и игра «Рез…

❤1🔥1

6 Nov 2026, 05:01 UTC453 views10 reactionsread 11 November 2026
Photo

Павел Безяев: «Сообщество — это живой организм, который постоянно развивается» Продолжаю серию публикаций о тех, кто делает DL ДВИЖ по-настоящему содержательным. Сегодня с нами Павел Безяев — лидер сообщества Digital Learning, человек, который не любит регалий, но без которого представить наше сообщество невозможно. Полную версию нашего разговора вы можете найти на сайте Digital Learning — читайте здесь. Я спросил…

👍4❤3🔥3

Signed Diana Zvereva

5 Nov 2026, 15:03 UTC381 viewsread 11 November 2026
Photo

Edtechs Awards 2026: прием заявок продлен до 9 ноября 🏆 На Edtechs Awards 2026 уже поступили десятки заявок. По просьбам компаний, которые не успели оформить участие, продлеваем прием до 9 ноября включительно. Edtechs Awards — четвертая ежегодная премия для компаний, продуктов и проектов с измеримыми результатами, которые влияют на развитие российского рынка онлайн-образования. К участию приглашаются российские Ed…

5 Nov 2026, 10:00 UTC421 views6 reactionsread 11 November 2026
Photo

Олег Замышляев "Нейросеть должна быть партнером по мышлению" Продолжаю серию публикаций о тех, кто делает DL ДВИЖ по-настоящему содержательным. Сегодня с нами Олег Замышляев — основатель HR-консалтинга Mozlab.ru и сервиса для принятия решений с ИИ Tellsy.pro, фасилитатор стратегических и командных сессий, автор книг «Матрица перемен» и «Настольная книга перемен». Уже много лет Олег блистательно проводит церемонию н…

👍3🔥2❤1

5 Nov 2026, 05:01 UTC373 views9 reactionsread 11 November 2026

Всем привет! В прошлой публикации я уже говорил о замене живого преподавателя цифровым аватаром. В этот раз предлагаю посмотреть на эту ситуацию со стороны преподавателя, но сначала обратимся к другой сфере. Сегодня на рынке представлены музыкальные ИИ-модели, которые учатся на чужих композициях и могут создать песню в любом жанре за несколько минут. По расчетам CISAC, к 2028 году из-за таких сервисов музыканты могу…

👍6🔥3

Showing the 12 most recent of 120 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

Republishes

Channels on the register whose posts this channel has forwarded.

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 · 22,002
Telegram ranks this channel #7 of 100 here — alongside 99 others — read 21 September 2026
Живое обучение
@prolearning · 20,607
Telegram ranks this channel #9 of 100 here — alongside 99 others — read 26 September 2026
Академия Эдюсон (Eduson)
@edusondaily · 20,084
Telegram ranks this channel #11 of 96 here — alongside 95 others — read 28 September 2026
СберУниверситет
@sber_university · 24,307
Telegram ranks this channel #11 of 100 here — alongside 99 others — read 17 September 2026
Актион Образование
@action_obrazovanie · 36,584
Telegram ranks this channel #19 of 95 here — alongside 94 others — read 1 September 2026
REFORUM
@reforum · 18,730
Telegram ranks this channel #22 of 100 here — alongside 99 others — read 5 October 2026
Школа мышления. Вояж в страну загадок.
@shkolamishleniA · 22,760
Telegram ranks this channel #25 of 97 here — alongside 96 others — read 20 September 2026
Эдтехно | образование
@edtexno · 21,431
Telegram ranks this channel #27 of 99 here — alongside 98 others — read 24 September 2026
Образование, которое мы заслужили
@ru_education · 42,248
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 · 21,239
Telegram ranks this channel #33 of 96 here — alongside 95 others — read 25 September 2026
Секреты PowerPoint
@PPTSECRETS · 23,746
Telegram ranks this channel #33 of 84 here — alongside 83 others — read 16 September 2026
Skillbox: образовательная платформа
@skillboxru · 36,275
Telegram ranks this channel #33 of 97 here — alongside 96 others — read 3 September 2026
факультет
@studyfaculty · 43,541
Telegram ranks this channel #57 of 97 here — alongside 96 others — read 5 September 2026
Наука и университеты
@naukauniver · 43,179
Telegram ranks this channel #57 of 97 here — alongside 96 others — read 28 August 2026
Нетология
@netology_ru · 26,720
Telegram ranks this channel #59 of 96 here — alongside 95 others — read 10 September 2026
Егошин | Кеды профессора
@egoshin_kedprof · 19,495
Telegram ranks this channel #63 of 96 here — alongside 95 others — read 4 October 2026
Вакансии в образовании
@edujobs · 66,479
Telegram ranks this channel #66 of 99 here — alongside 98 others — read 21 August 2026
ОбОбраз
@ob_obraz · 30,237
Telegram ranks this channel #81 of 100 here — alongside 99 others — read 7 September 2026

This channel appears in 18 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 11 November 2026 — this entry's latest reading, not the date you are reading this.

“Digital Learning (канал)” (@ielearning), 15,102 subscribers as measured 11 November 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.