Evidence-based instructional design skills for Claude Code. 11 AI skills that check alignment, accessibility, cognitive load, and evidence strength. Import from any LMS or authoring tool.
UbD 逆向设计驱动的教材写作 skill 组合,一键装进 Claude Code / Codex / WorkBuddy:教学定位 → 五件套 gate → 章节树 gate → 四段式逐章写作 → 审核定稿。学科无关内核 + 可插拔学科档案,理科真算复核、人文社科逐字核对引文出处,验证不了就标注「需作者确认」;关键决策作者拍板,中断随时续写
数学建模全流程引导智能体:三角色一体化(布鲁姆L1-L8引导式学习、苏格拉底深度探究、P-M-A-D四阶段建模引导),只做方法论引导、不代求解不代写
This paper introduces BloomBench, a new bilingual (English-Arabic), cognitively-informed benchmark based on Bloom's Taxonomy to systematically evaluate the reasoning abilities of Vision-Language Models across different hierarchical cognitive levels.
AI-Powered Lesson Plan Generator for Claude Code | 智能教案生成器 - 5分钟生成完整教案
Tactical pipeline for AI-assisted coding: /design, /plan, /prebuild Claude Code skills. Pairs with /think from blooms-ai-collaboration.
Bloom's AI Collaboration Framework — a cognitive protocol for human-AI collaboration. Ships as the /think Claude Code skill with the 9-pillar life taxonomy and the auditability boundary. v2.0.
探知侠 — 引导式学习 Agent Skill:苏格拉底提问+费曼学习+布鲁姆认知六层次递进提问,引导学生自主发现知识而非直接给答案,含边界决策树与 9 条测试用例(v2.0)
OBE exam question builder with Bloom's taxonomy verification and CO-PO mapping - desktop app for BAETE/Washington Accord accreditation
AI-powered system that uses NLP and LLMs to automatically generate Course Learning Outcomes (CLOs) and relevant technical/soft skills from course descriptions. Designed to streamline curriculum design with consistent and structured outputs.
交互式三阶跃迁提问法智能体:基于布鲁姆认知模型生成 L1-L8 八层递进问题,支持逐层探究、跳层、单层聚焦与答案纠错
逆行侠 — 逆向思维科研导航 Agent Skill:倒置布鲁姆金字塔,从科研目标逐层倒推到学习起点,输出方法论、工具链、知识点与分阶段学习计划(v2.0)
Structured, dynamic, and personalized education design platform built at Esprit School of Engineering. This academic project was developed as part of the AI for Education coursework at Esprit to meet the curriculum enhancement needs of the Pedagogical Innovation Department.
LLM-powered technical interview tool that extracts competencies from job descriptions, generates scenario-based questions grounded in Bloom's Taxonomy, conducts structured interviews, and scores candidates with behavioral rubrics (BARS).
Simulacion educativa de Scrum y Kanban en cinco sprints: dados, cartas de situacion, Kanban con limite de WIP, burndown y retos de Bloom. Archivo unico, sin conexion.
Research repository for Bloom’s Taxonomy classification using AI, ML, Deep Learning, Open-Weight LLMs, and QLoRA fine-tuning on Course Learning Outcomes.
AI-powered MCQ Generator using LLMs to create personalized quizzes from PDFs, documents and images with Bloom's Taxonomy-based question generation.
AI-powered MCQ Generator using LLMs to create personalized quizzes from PDFs, documents and images with Bloom's Taxonomy-based question generation.
🧭 DR. DE.SOUZ.AI OrysTM — Pedagogical diagnostic + lesson-plan engine for the AI-mediated classroom. Built on Orys Learning ArchitectureTM methodology and the 10 Orys PatternsTM. Bilingual PT/EN. By Dr. de Souza.
8-dimension educational evaluation framework for childrens content. Built on Piaget, Vygotsky, Bloom, Sweller. Used inside Hermes Agent. Not a product. A rigor system.
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