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Concept Positioning System (CPS)

Indian Institute of Technology, Ropar — Internship 2025


🚀 Project Overview

The Concept Positioning System (CPS) is an educational recommendation engine inspired by intelligent systems like YouTube and Netflix, but adapted for learning. It analyzes a learner’s current knowledge and designs a personalized path toward mastering a desired concept by bridging gaps through intermediate concepts and resources.

Instead of recommending based on user preference, CPS emphasizes:

  • Conceptual prerequisites
  • Learning trajectory
  • Pedagogical diversity
  • Automatic path correction and augmentation

📘 Use Case

A learner who understands concepts A, B, and F may struggle with advanced concept K due to missing links. CPS recommends a prerequisite-aware sequence (X₁, X₂, ...) so the learner reaches K effectively.

In Continuous Active Learning (CAL) environments, if a student gets stuck at V₃ before reaching V₄, CPS may suggest auxiliary resources (V₃a, V₃b, ..., V₃n) to bridge the gap autonomously.


🎯 Research-Oriented Problem Statements

  1. Prerequisite Graph Construction for Domain-Specific Knowledge
  2. Personalized Learning Path Recommendation Using Knowledge Graphs
  3. Identifying Conceptual Gaps from Video Learning Logs
  4. Semantic Analysis of Learner Queries to Map to Concept Gaps
  5. Multi-Modal Learning Path Optimization
  6. Dynamic Path Adjustment in Strict CAL Settings
  7. Dependency-Aware Assessment Generator
  8. Learner Knowledge State Estimation using Bayesian Networks
  9. Intervention Detection for Conceptual Bottlenecks
  10. Comparative Study of CPS vs Traditional Recommendation Systems in Education
  11. Personal Learning Path Visualization Dashboard
  12. Meta-Learning for Cross-Domain Concept Reusability
  13. Explainable Recommendation in Concept-Based Learning Paths
  14. Benchmarking CPS Algorithms on Open Educational Data
  15. Simulated Learner Model for CPS Evaluation

👥 Internship Team Structure

Team T1

Team T2

Team T3

Team T4

Team T5

Team T6

Team T7

Team T8

Team T9

Team T10


📂 Repository Structure

Each team maintains its project implementation in a dedicated sub-folder under the root

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