2 measurements spanning 4 days. 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 65–67 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
10 Aug 2026, 01:45
66
no change
6 Aug 2026, 05:04
66
first reading
Engagement
16 posts held, back to 21 December 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.
ERR · 30 days
127.0%
avg views ÷ 66 subscribers
Avg views / post
83.8
6 posts measured
Reaction rate
3.38%
reactions ÷ views · ER floor
Posts in window
6
of 16 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.
What these figures were computed from
Window
Rolling 30 days · latest post in window 7 August 2026
Posts held
16 (21 December 2025 – 7 August 2026)
Views total
503
Reactions total
17
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
10 Aug 2026, 01:45 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
11
Links
9
Lifetime counters from Telegram’s own channel header, read 10 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Reaction mix
46 reactions across 14 posts, in 4 distinct kinds. The most used accounts for 87.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
40
87.0%
🔥
4
8.70%
👎
1
2.17%
🫡
1
2.17%
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 14 of the 16 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 46reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 16 most recent posts we hold, published 21 December 2025 to 7 August 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.
📣انجمن علمی دانشجویی تکنولوژی یادگیری دانشگاه خوارزمی با همکاری انجمن تکنولوژی آموزشی دانشگاه تربیت مدرس برگزار می کند:
💠 وبینار آنلاین "نقشه راه قبولی در دکتری تکنولوژی آموزشی"
🔻سرفصلهای تخصصی وبینار:
✅مسیر قبولی در مقطع دکتری
✅دکتری تکنولوژی آموزشی؛ برای چه کسانی و با چه هدفی؟
✅مواد امتحانی و منابع پیشنهادی
✅استراتژی مطالعه و برنامه ریزی واقع بینانه
👩💻مدرس: خانم مینا زیار
رتبه ۵ کنکور دکتری تکنولوژی آموز…
انجمن علمی تکنولوژی آموزشی دانشگاه تربیت مدرس، با همکاری انجمن علمی دانشجویی تکنولوژی یادگیری دانشگاه خوارزمی، برگزار میکند:
🛤️ اجوتاک ۳ | یک مقصد، چند مسیر
🎯 ویژه داوطلبان آزمون کارشناسی ارشد تکنولوژی آموزشی و علاقهمندان به این حوزه
سه نفر، سه تجربه متفاوت و یک مقصد مشترک.
در این نشست پای روایت رتبههای برتر کنکور کارشناسی ارشد تکنولوژی آموزشی مینشینیم و از خود مسیر میشنویم؛ از شروع مطالعه، انتخاب منابع و بر…
همراهان گرامی
✨برای بوتکمپ دیجینو «ابزارهای نوین یادگیری در فضای دیجیتال»، کد تخفیف ۴۰ درصدی قرار دادیم.
کد تخفیف:
DIGINO40
✨همچنین شرکت در جلسه اول این بوتکمپ برای همه آزاد و رایگان میباشد.
کافیست از طریق کد QR موجود در پیام بالا، کد را اسکن نمایید و یا از لینک قرار داده شده، وارد شوید.
╭━═━⊰❀ ❀⊱━═━╮
🆔 @khu_elearning_tech
╰━═━⊰❀ ❀⊱━═━╯
🎉و بالاخره
در اولین جلسه از بوتکمپ دیجینو، «ابزارهای نوین یادگیری در فضای دیجیتال» میزبان شما علاقمندان هستیم
✨ قراره توی این جلسه:
▪️با ترندهای نوین آموزشی و نقش هوشمصنوعی آشنا بشیم
▪️ابزارهای تولید محتوا و ارائههای تعاملی رو بشناسیم
▪️مسیر یادگیری و پروژه نهایی رو مرور کنیم
▪️و کلی سؤال و جواب گرم و صمیمی داشته باشیم
💡 شرکت برای همه آزاد و رایگانه، کافیه کد QR رو اسکن کنی یا از لینک زیر وارد بشی:
👉🏻 https://…
🔻گزارشی از آموختهها در چهارمین همایش ملی و اولین همایش بینالمللی یادگیری سیار در عصر هوش مصنوعی؛ تحول در نظامهای آموزشی و مهارت آموزی در حوزه صنعت
🔹روز سهشنبه ۲۳ تیر ۱۴۰۵ این همایش در دانشگاه علامه طباطبایی با حضور استادان برجسته حیطه تکنولوژی آموزشی و علوم تربیتی، پژوهشگران، معلمان و دانشجویان به صورت ترکیبی (حضوری و مجازی) برگزار شد.
🔹از نکات مثبت همایش، آشنایی بیشتر و بهرهمند شدن از صحبتهای اساتید برجسته ح…
🔹چهارمین همایش ملی و اولین همایش بینالمللی یادگیری سیار در عصر هوش مصنوعی؛ تحول در نظامهای آموزشی و مهارت آموزی در حوزه صنعت
🔹در ادامه، خلاصه گزارشی از آموختهها در این همایش خدمت شما همراهان انجمن تکنولوژی یادگیری دانشگاه خوارزمی ارائه خواهد شد.
انجمن علمی-دانشجویی تکنولوژی یادگیری دانشگاه خوارزمی
╭━═━⊰❀ ❀⊱━═━╮
🆔 @khu_elearning_tech
╰━═━⊰❀ ❀⊱━═━╯
با همکاری انجمن علمی دانشجویی تکنولوژی یادگیری و انجمن علمی تکنولوژی آموزشی دانشگاه علامهطباطبائی برگزار میشود:
🔥ثبتنام بوتکمپ دیجینو «ابزارهای نوین یادگیری در فضای دیجیتال» آغاز شد
🛸 اگر میخوای مهارتهای دیجیتال خودتو در آموزش، پژوهش و ارائههای علمی ارتقا بدی، این بوتکمپ را از دست نده
🗓 زمان برگزاری: ۱ مرداد تا ۲۶ شهریور ۱۴۰۵
⏰ پنجشنبهها، ساعت ۱۸ تا ۲۰
💻 برگزاری بهصورت مجازی در بستر اسکایروم
🛠️. آش…
⭕️یادآوری⭕️
📣ژورنال کلاب پایان نامه های دانشجویی🤩
🔻 امروز ساعت۱۹
⭕️ شرکت برای عموم دانشجویان آزاد و رایگان می باشد.
لینک شرکت در جلسه در کانال انجمن👇
╭━═━⊰❀ ❀⊱━═━╮
http://bale.ir/khu_elearning_tech
http://eitaa.ir/khu_elearning_tech
https://t.me/khu_elearning_tech
╰━═━⊰❀ ❀⊱━═━╯
💠اولین جلسه از ژورنال کلاب پایان نامه های دانشجویی
✅ بیان مراحل و تجارب زیسته در نگارش پایان نامه
✅ ارائه ای کوتاه از پایان نامه
✅ تایم پرسخ و پاسخ برای شرکت کنندگان
👨💻ارائه دهنده: آقای محمدرضا حسنی
کارشناسی ارشد تکنولوژی آموزشی دانشگاه خوارزمی
🔸موضوع پایان نامه: تاثیر ارزشیابی پنهان مبتنی بر بازی بر سواد،نگرش و رفتار زیست محیطی دانش آموزان
📆 زمان: دوشنبه ۱ تیر ، ساعت ۱۹
💻 بستر برگزاری: اسکای روم
⭕️ شرکت در ا…
⭕️ فراخوان ژورنال کلاب پایاننامههای دانشجویی ⭕️
دانشجویان و دانشآموختگانی که پایاننامه خود را با موفقیت به پایان رساندهاند، دعوت میکنیم در «ژورنال کلاب پایاننامههای دانشجویی» شرکت کرده و پژوهش و تجربیات خود را با دیگر دانشجویان به اشتراک بگذارند.
این برنامه شامل ارائه کوتاه پایاننامه، بیان تجارب زیسته در فرآیند پژوهش و نگارش پایاننامه، و بخش پرسش و پاسخ خواهد بود.
🔷همچنین از استادان و اعضای هیئت علمی گرام…
❤3
Showing the 12 most recent of 16 posts we hold for @khu_elearning_tech. 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.
Citation-graph rank
Citation-graph rank — 25,371 of 1,169,250entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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 33 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
Named by
Channels on the register whose posts name this channel's handle.
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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@khu_elearning_tech named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all.A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@madaniporr named in 1 post, 11 August 2026 – 11 August 2026
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 10 August 2026 — this
entry's latest reading, not the date you are reading this.
“انجمن علمی تکنولوژی یادگیری دانشگاه خوارزمی” (@khu_elearning_tech), 66 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/khu_elearning_tech.
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.