📚 Programming Learning Analytics & Personalisation System (PLAPS)

A C++ prototype system developed for Asia Pacific University (APU) to simulate personalised programming learning, track student progress, manage learning sessions, log activities, and identify at-risk learners.

No STL containers used (<vector>, <list>, <queue>, <stack>, <priority_queue>) — all data structures are custom-built.

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📌 Project Overview

PLAPS is built around four core components, each handled by a team member using appropriate data structures:

Task	Description	Data Structure
Task 1	Learner Registration & Session Management	Queue
Task 2	Activity Navigation & Session Flow	Stack
Task 3	Recent Activity Logging & Performance History	Circular Queue
Task 4	At-Risk Learner Priority & Recommendation Engine	Priority Queue

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⚙️ Features

Task 1 — Learner Registration & Session Management

• Register learners and manage entry into active sessions
• Handle full session capacity
• Allow learners to exit and free up session slots
• Display registration list and active session list

Task 2 — Activity Navigation & Session Flow

• Structured sequence of learning activities
• Move forward to next activity
• "Go back" / undo to revisit previous activities (Stack)
• Record outcomes (score, topic, difficulty) and forward to logger

Task 3 — Recent Activity Logging & Performance History

• Fixed-size circular log — old records auto-replaced when full
• View all activity logs or filter by specific learner
• Export activity records to CSV for analysis

Task 4 — At-Risk Learner Priority & Recommendation Engine

• Calculate risk score based on scores, failed attempts, consistency, time vs progress
• Rank learners by risk level using Priority Queue
• Display highest-priority at-risk learners
• Attach recommended actions (repeat topic, easier activity)
• Export at-risk learner list to CSV

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📁 File Structure

Assignment2 Final Version/ ├── Activity.cpp / Activity.hpp # Activity navigation logic ├── Analytic.cpp / Analytic.hpp # Analytics & risk scoring ├── Array.cpp / Array.hpp # Custom array data structure ├── Helper.cpp / Helper.hpp # Utility/helper functions ├── LinkedList.cpp / LinkedList.hpp # Custom linked list ├── Logger.cpp / Logger.hpp # Circular log implementation ├── Question.cpp / Question.hpp # Question/activity model ├── Session.cpp / Session.hpp # Session queue management ├── Student.hpp # Learner data model ├── main.cpp # Driver program ├── activity_logs.csv # Activity log dataset ├── at_risk_learners.csv # At-risk learner export ├── learner.csv # Learner records ├── logger.csv # Logger export └── question.csv # Question dataset

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🚀 How to Run

# Compile
g++ -o mySystem main.cpp Activity.cpp Analytic.cpp Array.cpp Helper.cpp LinkedList.cpp Logger.cpp Question.cpp Session.cpp

# Run
./mySystem

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🛠️ Tech Stack

• Language: C++
• Data Structures: Queue, Circular Queue, Stack, Priority Queue (all custom-built)
• No STL containers used

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👥 Team Members

Member	Task
Chan Xin Quan	Task 1 — Learner Registration & Session Management
Sawraw Madub	Task 2 — Activity Navigation & Session Flow
Chen Zhen Hao	Task 3 — Recent Activity Logging & Performance History
Kaemon Ng	Task 4 — At-Risk Learner Priority & Recommendation Engine