BOPPPS Lesson Design Assistant
Adaptive BOPPPS microteaching plan generator
BOPPPS Lesson Design Assistant
Adaptive BOPPPS microteaching plan generator
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Description
This skill automatically generates a complete BOPPPS microteaching segment design plan based on the user's provided basic teaching information (teaching topic, duration, target audience, subject area, content type, special requirements). 【Core Capabilities】 • Complete six-step design: Bridge-in → Objective → Pre-assessment → Participatory Learning → Post-assessment → Summary, strictly following BOPPPS methodology • Adaptive four content types: knowledge/concept (inductive), operational skills (progressive), attitude/values (promotional), comprehensive application (main line + embedding), automatically routes optimal teaching strategies • Internally generated curriculum-based ideological-political education: ideological-political elements naturally grow from the internal logic, development history, and practical contradictions of the subject content itself, covering both value literacy (patriotism, professional ethics, social responsibility, etc.) and philosophical methodology (theory of contradiction, dialectics, theory of practice, etc.), avoiding sloganeering and superficiality • Multi-core audit quality assurance: execution core generation, audit core real-time verification, routing core strategy matching, verification core global consistency check, ensuring observable action verbs, time conservation, and triangle consistency among objectives, activities, and evaluation • Four appendix tables automatically generated: time allocation overview table, objective-activity-evaluation consistency matrix, teaching difficulty analysis and countermeasures, and teaching aids and materials preparation list 【Applicable Scenarios】 University teacher teaching competition preparation, new teacher microteaching training, student teacher teaching design practice, ideological-political demonstration course design, teaching reform plan writing 【Usage】 After invoking the skill, answer 6 information collection questions (teaching topic, duration, target audience, subject area, content type, special requirements). The engine will generate the six-step content and four appendix tables in stages. At each stage, you can confirm or provide modification suggestions for iterative optimization. To reuse, fill in the questionnaire again with a new teaching topic.
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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
WriteVocational OBE Lesson Design
For higher vocational teachers, this Skill generates a fixed nine-part OBE instructional design based on the course name, teaching tasks, class hours, and course type. It covers three-dimensional learning objectives, key points and challenges, teaching strategies, pre-class, in-class, and post-class activities, complete supporting resources, six levels of exercises, a comprehensive assessment rubric, and performance-level criteria. It supports staged confirmation or automatic execution after explicit authorization, and checks objective alignment, time allocation, question-type coverage, and score totals. Teachers should still review the results based on their students’ actual learning needs and school requirements.
Political Theory Course Design
A teaching design framework for college ideological and political theory instructors. Enter a course name, teaching topic or chapter, and number of class periods, with optional student profile and textbook edition, to generate a complete lesson-period teaching design document ready for preparation. It includes textbook logic and student profile analysis; knowledge, ability, and values-based objectives; key points and difficult points; a five-level progressive question chain; teaching stages and activity or case designs covering introduction, inquiry, analysis, synthesis, and summary; an integrated goals–activities–assessment plan; plus a slide outline, board plan, pre- and post-class assignments, and extension suggestions. Methodologically, it follows the “Eight Integrations” principle for ideological and political theory courses and covers major undergraduate courses, including Basic Principles of Marxism; Introduction to Mao Zedong Thought and the Theoretical System of Socialism with Chinese Characteristics; Outline of Modern Chinese History; Ideological, Moral, and Legal Education; Current Affairs and Policies; and Introduction to Xi Jinping Thought on Socialism with Chinese Characteristics for a New Era. This Skill provides only a framework for teaching design and activity methods. It does not generate positions, viewpoints, or political commentary inconsistent with the textbooks. Teachers are responsible for reviewing all case materials and value conclusions against Marxist Project and unified textbooks.
Information
- Version
- v3
- Last updated
- Runtime credits
- Usage-based
- Models
- Auto
