Channel
@Vira_TPD
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
704subscribers
+114 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1003985553940 |
|---|---|
| Type | Channel |
| Username | @Vira_TPD |
| Created | 1 August 2026 — measured — dated from the channel’s first post |
| First recorded | 6 August 2026 |
| Last confirmed live | 8 September 2026 |
| Measurements held | 7 |
| Confirmed unchanged | 1 time, most recently 8 September 2026 |
| On Telegram | t.me/Vira_TPD |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 8 Sept 2026, 07:39 | 704 | -1 |
| 29 Aug 2026, 09:13 | 705 | -2 |
| 21 Aug 2026, 17:26 | 707 | +7 |
| 14 Aug 2026, 07:26 | 700 | +72 |
| 6 Aug 2026, 20:23 | 628 | +38 |
| 6 Aug 2026, 18:01 | 590 | no change |
| 6 Aug 2026, 02:53 | 590 | first reading |
8 posts held, back to 1 August 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 1 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 8 posts for this entry, the most recent from 5 August 2026. An engagement rate over an empty window would be a number about nothing.
129 reactions across 6 posts, in 9 distinct kinds. The most used accounts for 79.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 103 | 79.8% | |
| 👍 | 11 | 8.53% | |
| 👎 | 3 | 2.33% | |
| 👏 | 3 | 2.33% | |
| 🔥 | 3 | 2.33% | |
| 👌 | 2 | 1.55% | |
| 💯 | 2 | 1.55% | |
| 👾 | 1 | 0.775% | |
| 😢 | 1 | 0.775% |
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 6 of the 8 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 129 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 8 most recent posts we hold, published 1 August 2026 to 5 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.
دوست دارید یک پست خفن در رابطه با آینده شغلی مدرسان در عصر هوش مصنوعی بزارم و اینکه حالا تکلیف ما چیه؟ اگه میخوای لایک فراموش نشه❤️❤️ 💠ما را به دوستان و همکارانتان معرفی کنید آزمایشگاه تدریس هوشمند| AI Teaching Lab
❤34👍5👾1
۳ ابزار هوش مصنوعی که هر مدرس زبانی باید بشناسد! 🛠️💡 اگر فکر میکنید هوش مصنوعی فقط چتجیپیتی است، این ۳ ابزار تخصصی که ویژه فرآیندهای آموزشی طراحی شدهاند را از دست ندهید: 1️⃣ Twee یک ابزار فوقالعاده و همهفنحریف مخصوص مدرسان زبان انگلیسی. با این سایت میتوانید برای هر ویدیو یوتیوب سوال طراحی کنید، متن بسازید، تمرین گرامر و لغت طراحی کنید و همه را در چند ثانیه تحویل بگیرید. (دارای نسخه رایگان عالی) 2️⃣ Gamm…
❤9👌2👏1😢1
آزمایشگاه تدریس هوشمند| AI Teaching Lab pinned «با سلام کارگاه رایگان آشنایی با NotebookLM برای مدرسان کلیه زبانها با تدریس دکتر بیکیان شنبه ساعت ۱۸ برگزار خواهد شد. لینک ورد به جلسه: لطفا نام و نام خانوادگی خود را به انگلیسی بعنوان مهمان وارد کنید https://vc.viraacademy.com/course_VIR_423»
با سلام کارگاه رایگان آشنایی با NotebookLM برای مدرسان کلیه زبانها با تدریس دکتر بیکیان شنبه ساعت ۱۸ برگزار خواهد شد. لینک ورد به جلسه: لطفا نام و نام خانوادگی خود را به انگلیسی بعنوان مهمان وارد کنید https://vc.viraacademy.com/course_VIR_423
❤28🔥3💯2
چگونه در ۳۰ ثانیه یک متن درک مطلب (Reading) شخصیسازیشده بسازیم؟ ✍️📖 یکی از چالشهای مدرسین زبان، پیدا کردن متن ریدینگ متناسب با سطح دقیق زبانآموزان و موضوع درس است. با این پرومپت ساده، دیگر نیازی به جستجوی طولانی در اینترنت ندارید. 🤖 هوش مصنوعی پیشنهادی: ChatGPT یا Claude 👇 متن داخل [ ] را تغییر دهید: (با لمس، پرامپت کپی میشود) Act as an expert ESL/EFL materials developer. Write a [سطح مثلاً: B1 / Intermediat…
❤12👍3👎1👏1
تفاوت LLM و Narrow AI چیست؟ 🤖 وقتی از «هوش مصنوعی» صحبت میکنیم، معمولاً همهٔ ابزارها را شبیه به هم تصور میکنیم؛ درحالیکه ابزارهای AI کارکردها و تواناییهای متفاوتی دارند. 🔹 ابتدا یک نکتهٔ مهم: (LLM) و (Narrow AI) دو مفهوم کاملاً مقابل هم نیستند. اغلب مدلهای زبانی بزرگ، نوعی از هوش مصنوعی محدود یا تخصصی (Narrow AI) محسوب میشوند. ۱) هوش مصنوعی محدود یا تخصصی (Narrow AI) چیست؟ باید گفت، Narrow AI به ابزارهایی گفته…
❤12👎1👏1
به AI Teaching Lab خوش آمدید! 🤖📚 همکاران و مدرسان گرامی زبانهای خارجی، سلام؛ به آزمایشگاه تدریس هوشمند زبان خوش آمدید. دنیای آموزش با سرعت نور در حال تغییر است و هوش مصنوعی (AI) دیگر یک ابزار فانتزی نیست، بلکه دستیار اول و بینظیر هر مدرسی است که میخواهد: 🔹 زمان طراحی درس (Lesson Plan) را به حداقل برساند. 🔹 محتوای آموزشی کاملاً شخصیسازیشده و جذاب تولید کند. 🔹 مهارتهای چهارگانه زبانآموزان را با بازخوردهای …
❤8👍3👎1
Channel created
Showing the 8 most recent of 8 posts we hold for @Vira_TPD. 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.
Named by 2 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.
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.
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 8 September 2026 — this entry's latest reading, not the date you are reading this.
“آزمایشگاه تدریس هوشمند| AI Teaching Lab” (@Vira_TPD), 704 subscribers as measured 8 September 2026. Telegram Register, tgregister.com/channel/Vira_TPD.
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.