AI Lesson Forge
Empower teachers to integrate AI in education
AI Lesson Forge
Empower teachers to integrate AI in education
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Description
Welcome to [AI Lesson Forge]! This is not a cold program that simply hands you a bunch of tool links, but a red-blue adversarial training ground full of strategic tension. Here, every teaching idea of yours will undergo an extremely rigorous 'stress test under real conditions': 🔴 Red Team (Education Experts + AI Experts): Your super think tank. Based on your teaching pain points, they tailor cutting-edge AI intervention plans (e.g., auto-generating multimodal courseware, building professional scenario-based training agents, etc.). 🔵 Blue Team (Dynamic Adaptive Opponent): The 'soulful contrarian' of our forge. The system dynamically matches the opponent based on your education level—for K-12, they become students who fear boredom and parents who fear trouble; for higher education, they become academic ethics supervisors who delve into professional boundaries and clinical risks. Your plan only passes if it survives their scrutiny! ⚪ Referee (That's you): Sitting in the role of the teaching research lead, you synthesize the debate outcomes and make the final call on the implementation roadmap. Just drop in a chapter outline and the pain points that trouble you, and the forge will output an intuitive 'Pain Point Heatmap' and a structured 'Adversarial Evaluation Report' with one click. Whether you want to add fun to your classroom or conduct complex scenario simulations with high professional barriers, [AI Lesson Forge] can help you keep quality and avoid pitfalls. Let us ignite the vitality of educational reform through red-blue adversarial play, and uphold the original aspiration of education with digital empowerment! 🍵✨
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ResearchLightning Course Engine Pro
Helps you get your course roughly 80% done — everything you need is included. This is an AI course producer, not a content ghostwriter. It won't generate content from scratch for you, but it will guide you using 5 original methodologies (HOOK-FLOW-LAND three-part structure, one-cut positioning, onion peeling extraction, heartbeat curve, funnel course creation) to turn a book, an idea, or even five years of work experience into a sellable course product in 4 rounds of dialogue. --- ## 🎯 Who It's For ✅ **Knowledge Monetizers** — professionals with expertise who want to package their experience into paid courses ✅ **Trainers/Instructors** — need to quickly develop new courses without starting from scratch ✅ **Content Creators** — have an audience and want to launch paid courses but don't know where to start ✅ **Corporate Training Leads** — customize training for teams and seek efficient output ✅ **Side Hustlers** — have a skill but zero course design experience --- ## 🔥 Core Logic: The 20/80 Rule **You provide 20%** — real experience, unique insights, practical cases (the soul of the course) **It handles 80%** — structure building, content organization, script polishing, courseware creation All knowledge points are anchored in your materials and real experiences, **zero fabricated cases, zero filler**. --- ## 🛡️ Three-Round AI Flavor Removal Review Tired of course scripts that sound like a robot reading? This one won't. **First pass** — Eliminate all templated AI clichés ("As we all know," "It is worth noting," "Let's explore together") **Second pass** — Inject your natural speaking rhythm and tone (write the script the way you talk) **Third pass** — Read through to ensure every line sounds like you're chatting with students The delivered script is **ready to record, with almost no edits needed**. --- ## 📦 Final Deliverables (6-Piece Set) ✅ Precision Positioning Report — who the course is for, what problem it solves, why they should buy from you ✅ Three-Level Course Outline — chapters, sections, knowledge points, clear structure ✅ Teaching Script — every sentence is ready to read, not an outline ✅ Editable Course Slides — visual presentation, not text-heavy PPT ✅ Visual Asset Pack — images, icons, covers, ready to use ✅ Monetization Plan — pricing strategy, sales copy, promotion tips **Ready to use, not a semi-finished product you need to rework.** --- ## 🎯 Typical Use Cases **Scenario 1: Turn a book into a workshop** You finished a professional book and want to host a reading club/workshop → Upload the book material, get a complete course package after 4 rounds of dialogue **Scenario 2: Turn work experience into a paid course** You have 5 years of unique insights in a field → Input real cases and methodologies, generate a sellable course **Scenario 3: Rapid corporate training course development** Your company needs new employee training, tight deadline → Provide training goals and materials, get the script and courseware the same day **Scenario 4: Turn your content IP into a course** You have viral content and want to make a systematic course → Import articles/videos, automatically extract into structured course **Scenario 5: Side-hustle instructor from 0 to 1** Want to create online courses but have zero experience → Full-process guidance from idea to finished product
Course Design Assistant v7.0
💡 What can this assistant do for you? An expert with years of experience in instructional design and lesson plan writing, guiding you step by step to create professional-level instructional designs. (Offline training valued at least ¥3000 per session.) 📋 13-step standardized process, scientific and rigorous, no omissions From course information collection → learning situation analysis → pain point diagnosis → key/difficult point confirmation → objective writing (draft + refinement) → teaching model selection → AI tool integration → process design → evaluation design → board design → complete plan → multi-format delivery Each step includes quality checks to ensure no skipped steps, no omissions, and no vague content. 🎯 Automatic ABCD principle check, no more headaches in objective writing The system automatically checks each objective against the ABCD principle and tags Bloom's taxonomy levels (L1-L6). 📊 Dedicated "Advancedity, Innovation, Challenge" check, aligned with first-class course standards No more worrying about reviewers saying "insufficient challenge." The system quantifies the check for you. 🧠 Intelligent Bloom's taxonomy matching, automatically achieving higher-order thinking The system includes a Bloom's verb classification table (L1-L6) and automatically identifies: Each objective is automatically tagged with its level, ensuring the proportion of higher-order objectives meets standards. 🎨 Natural integration of curriculum-based ideological and political education, no more forced labeling The system provides 5 integration strategies: - Situational embedding: Introduce through real cases/historical stories (e.g., "China's high-speed rail control system from import to independent innovation") - Behavioral concretization: Replace abstract concepts with observable behaviors (e.g., "Identify violations in engineering accidents" rather than "Improve professional ethics") - Value conflict: Set ethical dilemmas to guide judgment (e.g., "Economic benefits vs. environmental protection") - Cultural inheritance: Introduce through traditional culture/institutional advantages (e.g., "The artisan spirit of ancient astronomical instruments") - Comprehensive literacy goals: Covering scientific literacy, engineering literacy, innovation literacy, digital literacy, values, humanistic literacy, and global perspective ⏱️ Time-driven design to ensure the teaching process is implementable Automatically calculate the total time for each segment Compare with the total time set by the user If the error exceeds ±5 minutes, automatically alert and provide adjustment suggestions No more awkward situations where "the design looks great but there isn't enough class time" 🤖 Deep integration of AI tools, supporting higher-order thinking rather than just efficiency improvement Three-tier architecture: - L1 Tool layer: Visualization, real-time feedback, virtual simulation - L2 Teaching layer: Personalized paths, layered tasks, collaborative support - L3 Innovation layer: AI as debate opponent, decision simulation, design assistance Only recommends domestic AI tools (Wenxin Yiyan, Tongyi Qianwen, Doubao, etc.), supports integration of teacher-built intelligent agents 📐 Comprehensive evaluation design, perfect objective-activity-assessment alignment - Diagnostic evaluation: Pre-class assessment - Formative evaluation: Process monitoring (classroom questioning, group discussion, lab reports) - Summative evaluation: Outcome validation (exams, project presentations) For L4-L6 higher-order objectives, automatically generate evaluation rubrics including four dimensions: "Depth of analysis, Innovation, Argument quality, Critical thinking" 🎭 Two working modes to suit different needs - Mode A (Quick output): Provide basic information → System automatically completes steps 2-11 → Outputs complete plan directly → Suitable for time-constrained users who trust AI judgment - Mode B (Step-by-step interaction): Gradually confirm each step → User can modify at any time → Suitable for fine-tuning and deep involvement Regardless of mode, 4 delivery formats are available: Detailed version, concise version, visual web page, teaching process framework diagram ⚡ Six core competitive advantages (unique features) 🔬 1. Scientific process, not based on intuition 13-step standardized process strictly executed in order, no skipping. Each step has clear output and quality check to ensure the design aligns with educational principles. 📊 2. Quantitative check of "Advancedity, Innovation, Challenge" Automatically detect advancedity (proportion of higher-order objectives ≥50%), innovation (real situations + innovative modes), and challenge (open-ended questions + interdisciplinary integration), aligned with first-class course standards. 🎯 3. Automatic ABCD principle verification Each objective must include "Condition-Behavior-Standard," with observable and measurable action verbs. The system automatically checks and tags Bloom's levels. 🧠 4. Intelligent Bloom's taxonomy matching Built-in L1-L6 verb classification table, automatically identifies objective levels, ensures higher-order thinking standards are met, no more worrying about reviewers saying "objective level is too low." ⏱️ 5. Time-driven design Automatically calculate segment durations, compare with total duration, alert if error exceeds ±5 minutes, ensuring the teaching design is implementable and within time limits. 📐 6. Perfect objective-activity-assessment alignment Constructive Alignment principle ensures consistency among "teaching objectives, teaching activities, and assessment methods." Each objective has corresponding activities and evaluations. 🎯 Applicable scenarios (covering all higher education) ✅ Teaching competitions: Teaching innovation competitions, young teacher teaching competitions, classroom teaching contests ✅ Course construction: First-class course applications, curriculum-based ideological and political demonstration courses, blended course design ✅ Daily teaching: New lesson preparation, teaching reform, teaching model innovation ✅ Teaching evaluation: Peer review, supervisory observation, teaching quality assessment ✅ Teacher development: New teacher training, teaching ability enhancement, teaching research 🚀 User experience Quick mode (Mode A): Provide course name, chapter, major, class hours → Select Mode A → System automatically completes 13-step process → Get complete teaching design in 30 minutes → Choose delivery format (detailed/concise/visual web page/framework diagram) Detailed mode (Mode B): Provide basic information → Select Mode B → Gradually confirm learning situation analysis, pain point diagnosis, key/difficult points, teaching objectives, teaching model, AI tools, teaching process, evaluation design, board design → Modify at each step → Complete high-quality teaching design in 1-2 hours Review mode: Upload existing teaching design → System evaluates step by step against all elements → Summarize three strengths and three weaknesses → Provide specific and actionable optimization suggestions → Generate a standardized and well-formatted evaluation report document
Backward Design for Lessons
‼️ Have you ever had this feeling?— You spend three hours preparing a lesson, your PPT looks great, you deliver it smoothly on stage, but afterward, there's an indescribable emptiness: Did the students really learn? It's not that you didn't try hard enough. It's because you've fallen into the most hidden trap in higher education: Confusing "covering content" with "completing teaching." Why does more preparation sometimes lead to worse results? Most teachers follow this sequence when preparing: Open the textbook → Organize knowledge points → Make PPT → Think of examples → Teach This sequence has a fatal flaw: Your starting point is "What am I going to teach?" rather than "What can students do after class?" This leads to three typical failures: Symptom Root Cause Objectives say "understand/grasp" but exams require analysis/application Misalignment of objective levels and assessment Class activities are lively but unrelated to exams Activities disconnected from objectives Each lesson starts from scratch, teaching gets more exhausting No reusable design framework These three problems can be solved with one AI Skill. What is "Backward Design for Lessons"? It is an AI lesson plan design Skill specifically designed for university teachers. Its underlying logic is just one sentence: First, figure out what students should be able to do, then work backward to determine what to teach, how to teach, and how to assess. This is the backward design principle validated by decades of educational research— now packaged into a tool you can use with just a few sentences. How easy is it to use? You just need to tell it three things: Next week I'm teaching Fourier Transform in Signals and Systems Students are juniors, double period, 80 minutes This is a required engineering course, they've taken calculus before It will automatically generate: ① Measurable tiered learning objectives No longer "understand Fourier transform," but: Memory level: Able to write the standard definition of Fourier transform Comprehension level: Able to explain the significance of frequency-domain vs. time-domain conversion in words Application level: Able to independently perform transform calculations on given signals Analysis level: Able to interpret the physical meaning of results and identify errors ② Classroom activity design precisely aligned with objectives Following a 40/80 minute class rhythm, automatically arranged: Introductory activity (activate prior knowledge) New knowledge lecture (cognitive load control) Engagement segment (every 20 minutes to prevent attention loss) Emergency interaction plan (3 backup strategies if students are silent) ③ Companion assessment toolkit In-class test questions (matching objective levels) Formative assessment design suggestions Final exam pointers ④ An alignment checklist A 30-second scan before class—are objectives, activities, and assessments aligned?
Information
- Version
- v2
- Last updated
- Runtime credits
- Usage-based
- Models
- Auto
