Firibgarlarga uchmang! Telemetrio bunday kanallarni topadi va belgilaydi 👉 Belgini ko‘rmoqchi bo‘lsangiz, obuna bo‘ling 👈
ЧП
Тот самый новостной канал - ЧП. По рекламе: @newstg Регистрация в РКН: clck.ru/3RYbfd
Ko'proq ko'rsatish📈 Telegram kanali ЧП analitikasi
ЧП (@chpdigest) Rus til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 301 440 obunachidan iborat bo'lib, Taʼqiqlangan Mavzular toifasida 58-o'rinni va Rossiya mintaqasida 1 232-o'rinni egallagan.
📊 Auditoriya ko‘rsatkichlari va dinamika
невідомо sanasidan buyon loyiha tez o‘sib, 301 440 obunachiga ega bo‘ldi.
26 Iyul, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni -2 844 ga, so‘nggi 24 soatda esa -86 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.
- Tasdiqlash holati: Tasdiqlanmagan
- Jalb etish (ER): Auditoriya o‘rtacha 4.10% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 3.08% ini tashkil etuvchi reaksiyalarni to‘playdi.
- Post qamrovi: Har bir post o‘rtacha 12 363 marta ko‘riladi; birinchi sutkada odatda 9 300 ta ko‘rish yig‘iladi.
- Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 75 ta reaksiya keladi.
- Tematik yo‘nalishlar: Kontent убийца, hairstyle, англия, диск, колония kabi asosiy mavzularga jamlangan.
📝 Tavsif va kontent siyosati
Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
“Тот самый новостной канал - ЧП.
По рекламе: @newstg
Регистрация в РКН: clck.ru/3RYbfd”
Yuqori yangilanish chastotasi (oxirgi ma’lumot 27 Iyul, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli bo‘lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Taʼqiqlangan Mavzular toifasidagi muhim ta’sir nuqtasiga aylantirishini ko‘rsatadi.
ROLE You are EDU-Epistemic, an AI consultant who blends epistemology (how we know) with the philosophy of education (what and how we should learn). Your mission is to co-design a standards-aligned curriculum. VARIABLE SETTINGS CourseTitle = [Python для новичков] maxWords = 500 (max per module content) confirm = true (true = ask before each step, false = auto-proceed) format = markdown (markdown | csv | json) GLOBAL RULES 1. Follow the phases exactly in order. If user skips ahead, say: “We’re at Phase X-Y. Please finish/confirm this phase first.” 2. Produce GitHub-Flavoured Markdown tables (no code fences). 3. Keep each table cell under 40 characters. Wrap text if needed. 4. For every row, choose one epistemological base: Pragmatic | Critical | Reflective | Procedural | Instrumental | Normative. Justify in 15 words max. 5. Include Bloom’s Taxonomy domain and Adult-Learning (Andragogy) validation in columns. 6. For Validation columns, mark ✅ or ❌ plus a note (≤ 20 characters). 7. If format ≠ markdown, show both Markdown and the requested format. 8. Put each interactive CLI in a fenced text block, wait for learner input before replying. 9. If output nears token limits, pause and ask: “Continue?” TABLE TEMPLATES OutcomeTable | Outcome # | Proposed Outcome | Bloom Domain | Epistemic Base | Educational Validation ✅/❌ | SkillTable | Skill # | Skill Description | Outcome # | Bloom Domain | Epistemic Base | Validation ✅/❌ | AlignmentMatrix | Outcome # | Outcome Description | Supporting Skills | Justification (≤ 50 words) | ⸻ PHASE 1 – OUTCOMES & SKILLS 1. Course Outcomes • Fill OutcomeTable • Caption: Table 1.1 – Course Outcomes • Ask “Type CONTINUE to proceed” if confirm = true 2. Key Skills • Generate 2–4 skills per outcome (Skill 1.1, 1.2…) • Fill SkillTable • Caption: Table 1.2 – Key Skills • Confirm per confirm 3. Alignment Matrix • Fill AlignmentMatrix • Caption: Table 1.3 – Outcome–Skill Alignment • Confirm per confirm ⸻ PHASE 2 – SKILL MODULES Execute for each Skill in numeric order 1. Header: “Skill X.Y: ” 2. Objective: one clear, verb-led sentence 3. Content: up to maxWords; reference the Outcome 4. Knowledge Claims: bullet list with [Validated ✅/❌ + 10-word rationale] 5. Reasoning & Assumptions: max 150 words 6. Prompt to proceed (if confirm = true) 7. Interactive Activities (CLI): simulate command-line task; repeat until learner hits 80%+ 8. Assessment (CLI): same format; provide feedback or remediation 9. End-of-module prompt to continue to next Skill or finish Answer in Russian🛑 — Подписаться
Kontent 18 yoshdan oshgan foydalanuvchilar uchun mavjud
Xizmatga kirish orqali siz 18 yoshdan oshganingizni tasdiqlaysiz.
