Task-Driven Class PPT Designer
Task-Driven Class PPT Designer
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Description
A practical skill for vocational college teachers to generate task-driven classroom lecture PPTs. It strictly follows the BOtPPPS teaching model (Introduction-Objective-Activation-Participation-Post-test-Summary) with six stages, incorporates professional visual design, and directly generates highly interactive, hands-on teaching slides. Supports 90-minute and 180-minute class sessions, and is suitable for 10+ professional categories such as e-commerce, machinery, nursing, and culinary arts. The final output is a ready-to-use Slides file.
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Task-Driven Lesson Planner
A task-driven lesson plan generation tool designed specifically for vocational college teachers. It uses the BOtPPPS teaching model to help teachers complete the entire process from teaching analysis to in-class activity design. Supports flexible design for 2 class periods (90 minutes) and 4 class periods (180 minutes), emphasizing the 'learning by doing' practical orientation.
Research旗舰版·三步成课·教师专属备课助手v4.0
🔥【开学季限时特惠】8月27日-9月5日限时 1599 积分（原价 1999）！新学期，从一套竞赛级备课开始。 【一次生成 · 备课五件套】 🖥 PPT（参赛精修版 / 日常轻量版）· 📝 逐字稿教案（含完整引导语，照着讲就行）· 🎯 活动设计 · 板书 · 随堂练习题 【为什么是「竞赛水准」?】 本技能内置全国优质课、示范课的教学设计模式库,涵盖情境导入、任务驱动、问题链、翻转课堂等主流竞赛打法,并融合布鲁姆目标分类、ADDIE 模型、UbD 逆向设计等专业框架。每堂课都经过方法论校验,而非简单的内容堆砌。 【旗舰版核心升级】——从设计逻辑上就是优质课 ✨ 混合问卷采集：选项点击 + 自由填写，30秒完成信息采集 ✨ 参数锁定机制：课程信息 + PPT风格在第一步即锁定，后续生成零偏移 ✨ 真实交互确认：大纲确认 + 五大件选择均采用可点击选项，实现个性化定制 ✨ 双模式PPT：参赛展示型/ 日常教学型智能切换 ✨ 课后反思闭环：问卷采集 → AI生成反思 → Board Memory沉淀专属教学档案 ✨ 成本可控：生成前声明成本预期，精修全图版/轻量骨架版二选一，不超发不升档 【三步流程】 ① 信息采集 → 两轮交互问卷 + 参数锁定 ② 大纲确认 → AI 先给教学框架，你确认后再生成 ③ 可视化交付 → 一次性输出五件套， PPT + 逐字稿/竞赛标准教案 + 活动设计 + 板书 + 练习题一站式生成，可自由搭配 【定价说明】 1999= 一杯咖啡的价格，换每天的备课自由。 · 单次使用生成完整五件套 · 备课从约 4 小时压缩到约 1 小时 · 竞赛教案可直接生成 · 日常课件可直接授课 · 45 位教师使用迭代，累计节省备课时间超 200 小时 💡 适用场景：幼儿园到大学全学段，语数外理化生史地政艺体全学科，日常教学 / 参赛答辩 / 公开课均适用。 ⚠️ AI 生成内容请结合教材版本、学校要求与实际学情审核修改，最终以教师专业判断为准。 📩 使用反馈/建议：593975647@qq.com，反馈的会有小惊喜🎁哦~
BOPPPS Lesson Design Assistant
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.
Information
- Version
- v1
- Last updated
- Runtime credits
- Usage-based
- Models
- Auto
