Task Complexity Classifier using Transformer-based NLP model based on Bloom's Taxonomy
AI-powered learning analytics platform with A2A multi-agent pipeline — xAPI behavioral tracking, at-risk detection, and automated PDF/DOCX reports for instructional designers.
The Dynamic Test Paper Generator using Bloom's Taxonomy is a Streamlit-based application that helps educators create customized test papers. By inputting subject details, syllabus, and example questions, users can generate multiple-choice, short answer, and long answer questions.
Bloom's Taxonomy Question Classifier: A versatile tool for educators to categorize questions by cognitive complexity, aiding in assessment design and fostering diverse thinking skills in students.
Automated question paper quality analysis using BERT and Bloom's Taxonomy - published in 2 Springer conferences
Developing a feedback theory-informed natural language processing (NLP) model to enable large-scale evaluation of written feedback, and analysing a large set of feedback extracted from Moodle using this model to understand the presence of student-centred feedback elements, the commonality and differences in feedback provision across disciplines.
An AI-powered full-stack web application built with Python Flask and JavaScript that automatically generates Bloom's Taxonomy-aligned course syllabi, objectives, and educational content.
A source-grounded quiz-building workflow with teacher review, Bloom-level questions, and structured output.
Agentic Pipeline for course creation. Mechanical verification, diagrams and house style. Highly parallel with guardrails and UI included. VSCode, Mastra and LangGraph Editions.
CAMP — Course Alignment & Mapping Portal · Automates BOS-ready course proposal generation for Indian engineering colleges · CO-PO mapping · Bloom's taxonomy · Syllabus generation
The public companion to Chiron — how a machine-generated exam-question bank is built, classified, and checked. Chiron is the teacher; Antron is the cave he taught in.
中小学各学科教学设计助手技能 v3.0。多智能体协作生成系统化教案(ICAP/布鲁姆/扶放有度),内部专业理论分析、大白话输出,知识库可选增强。
AI-powered exam question paper analyzer — reads scanned papers with Gemini vision, classifies each question by Bloom's Taxonomy, maps course outcomes, and recommends how to balance the paper.
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