This project involved the development of 31 individual Intelligent Tutoring Systems (ITS), built by collaborative teams of three. The primary goal was to create a data-driven learning environment for students in grades 6–8, mapped directly to the NCERT Mathematics syllabus.
Each of the 31 topic-specific groups was tasked with building a specialized system containing three core components:
Domain Model: An LLM-powered knowledge base anchored in 31 specific topics from the NCERT curriculum, ensuring content accuracy and educational alignment.
Learner Model: A tracking system that captures real-time interaction data, monitors student performance, and calculates specific mastery levels.
Pedagogical (PED) Logic: A custom-built instructional strategy that adapts the difficulty and flow of content based on the learner's individual mastery scores.
While each team developed its own unique UI and pedagogical logic, two dedicated integration groups (Merge Teams) worked to synthesize these individual modules into a unified ecosystem. The final result is a diverse collection of adaptive systems that demonstrate various approaches to personalized math education.
The project requires the development of a complete learning system, not just content. The system must include:
Structured instructional material
Assessments with feedback and hints
Remedial pathways for learners
A clearly defined pedagogical logic
A learner model that supports adaptation
The final system should simulate a coherent learning experience that is navigable, logically structured, and pedagogically meaningful.
Presentation 1: Domain model and pedagogy logic
Presentation 2: Working systems hosted on free hosting servers
Presentation 3: Integrated system hosted on our server.