Abstract:
Conventional English learning method at English Language Learning Center (ELLC) President
University faces challenges with limited access for students to practice tests and lack of
progressive individual difficulty levels for each of student. This capstone project presents the
design and implementation of an adaptive quiz system within an AI-integrated e-learning
platform for English language learning Center at President University. The quiz system has
features which is five progressive levels of quiz where students must pass each of the level
before continue to the next level. Each level contains of multiple-choice questions that are
randomly generated to prevent memorization and similarity of quiz question when running.
The system includes real-time scoring, immediate feedback to students, and the detailed
progress tracking. The technical implementation of this quiz system uses React.js for the
frontend, Flask-Python for the backend, and MySQL for data storage. The system
automatically unlocks new levels when students achieve passing scores of the current level that
they do and saves all quiz attempts for individual progress monitoring. This capstone project
also do testing with 41 participants to evaluate the system, and as the result of the testing shows
positive user satisfaction and effective learning outcomes. The quiz system successfully
integrates with the broader AI learning platform, which provides students with accessible and
flexible learning tools that support continuous English skill development.
