(EACL'26 Main) Instructional Agents: Reducing Teaching Faculty Workload through Multi-Agent Instructional Design
The data layer for smarter educational AI. Integrate trusted instructional content and research directly into your AI-powered tools — improving precision, relevance, and instructional alignment.
Evaluation for AI outputs against trusted educational rubrics. Measure and improve content quality with research-backed rubrics — ensuring rigor, reliability, and alignment to classroom needs.
Evidence-based instructional design skills for Claude Code. 9 AI skills that check alignment, accessibility, cognitive load, and evidence strength. Import from any LMS or authoring tool.
Chat-first toolkit for teachers to plan complete courses and lessons with multi-agent workflows, template-based artifacts, and MARP slide generation.
Instructional design skills for Claude AI
AI-powered learning analytics platform with A2A multi-agent pipeline — xAPI behavioral tracking, at-risk detection, and automated PDF/DOCX reports for instructional designers.
A Claude skill embodying a 30-year veteran ID practitioner — 15 engagement modes, 12 reference files, full L&D spectrum
AI-SETT: A diagnostic assessment framework for AI models. Not a benchmark -- a tool to identify what models need. 600 observable criteria across 13 categories. Grounded in instructional design (SETT, Cognitive Load Theory, ZPD).
Transform PowerPoint presentations into LLM-optimized markdown while preserving instructional design narrative. Built for technical trainers.
a way to capture scenario choices made with Rise 360
Course Design Lab Repository
Preserves external versions of my pedagogical guide to teaching and learning with Discord servers.
An ecological mystery game designed for science education.
Instructional design tool optimized for self-hosted websites leveraging AI
Research-driven course generator for Claude Code. Reads real articles. Writes real courses.
Instructional design ontology for classroom or online.
Slide deck for EME5601, Module 3: Performance Analysis (Fall 2024)
An edtech project exploring how prompt engineering can support language teachers in lesson planning, material creation, and CEFR-aligned adaptation.
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