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.
🎓An AI tool to assist universities with optimal allocation of students to supervisors for their dissertations. Devised a multi-objective genetic algorithm for the task.
an open-source macOS app that reproduces realistic human typing to expose the limits of AI-detection based on writing process
An interpretable early-warning engine that detects academic instability before grades collapse. Instead of predicting performance, it models pressure accumulation, buffer strength, and transition risk using attendance, engagement, and study load to explain fragility and identify high-leverage interventions.
Student Exam Generator and Analyzer (S.E.S.) is an open-source project that helps schools generate, manage, and analyze exams efficiently. Each school runs its own secure, localized instance to ensure data privacy.
MCQ_Grading_Bot is an AI-powered tool that grades solved MCQ exam sheets from images using Gemini Vision. It extracts student info, checks answers, calculates score, and displays detailed results—all through a simple Gradio interface in Colab.
An open-source pedagogical assistant that uses generative AI to help educators create a more dynamic, inclusive, and personalized learning environment. The application goes beyond simple gamification; it's a tool to understand, support, and empower each student individually and collectively.
Data-informed QLA system for GCSE Computer Science using Excel and AI-assisted analysis to drive targeted intervention and revision planning
📚 Elevate your reading with the Deep Reading Analyst skill, using 10+ frameworks for systematic analysis and deeper comprehension.
A YOLOv8-based project that detects classroom dispersion and engagement by identifying distracted individuals through human face and person detection.
Pilot application within the PedagoReLearn framework, implementing Reflexive Reciprocity Theory (RRT) through a reinforcement learning–enhanced micro-tutoring system for German vocabulary acquisition (CEFR A1). Learner interaction data feeds upstream to the parent PedagoReLearn repository for instructional policy analysis.
ASU+GSV 2026 Summit Intelligence: enriched session transcripts, thematic synthesis, and full schedule index
An edtech project exploring how prompt engineering can support language teachers in lesson planning, material creation, and CEFR-aligned adaptation.
Classroom-ready Claude Code skills for education — lesson plans, Socratic tutoring, rubrics, study guides, and more.
A curated bilingual list of AI tools, projects, and case studies that improve teaching, learning design, assessment, and school workflows.
Item Response Theory (IRT) — the framework behind adaptive tests like GRE and PTE. Designed for AI engineers and data scientists to grasp core IRT concepts for adaptive testing systems.
Pedagogical logic rules, human evaluation rubrics, and Monte Carlo simulation data for the AIED 2026 paper: From Untamed Black Box to Interpretable Pedagogical Orchestration (ES-LLMs).
🔍 Enhance your academic writing with precise AI reviews that identify flaws, improve clarity, and uphold rigorous research standards.
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