基于 UbD 逆向设计的教材写作 skill 组合(支持 Claude Code / Codex CLI):教学定位 → 五件套 gate → 章节树 gate → 逐章写作,例题真算验证、中断可续写,面向数学/物理/计算机等 STEM 学科成体系教材写作
bloom-taxonomy 开源项目推荐(26 个)
bloom-taxonomy 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 26 个仓库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.
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
Adaptive learning platform for JEE students, with teacher-reviewed question banks, Bloom’s Taxonomy classification, concept-based practice, and AI tutoring grounded in NCERT content.
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)
Learning artifacts → learning gain, class gaps, and competency evidence (Bloom's).
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.
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.
🎯 Enterprise Talent Intelligence & Deterministic Skill-Matching Engine across 115 corporate bars. Powered by React, Express, Supabase & Agentic AI.
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).
EduAudit AI-powered pedagogical content auditing platform that analyzes educational documents, evaluates pedagogical coherence and writing quality, detects Bloom’s Taxonomy alignment, generates recommendations and exams, and enables RAG-based document interaction using a local LLM with Ollama.
Research repository for Bloom’s Taxonomy classification using AI, ML, Deep Learning, Open-Weight LLMs, and QLoRA fine-tuning on Course Learning Outcomes.
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/bloom-taxonomy。
- 该话题在 GitHub 上共有 26 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 119 Star,覆盖 7 种主要语言,数据更新于 2026-11-07。
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