Abstract:
Typical practice tools are not flexible and keep offering the same problems, not
changing with the student’s results or what they need help with. While many people
are using e-learning nowadays, there are still not many options for Ai generated and
customized math quizzes focused on algebra. Making quizzes the conventional way is
tedious and usually left unchanged, making it hard for teachers and students to update
content based on their skills and subjects. In addition, basic question banks do not
evaluate understanding in real time or provide enough variety for students to be
challenged.
As a result, QU1CKQUIZ was developed as an Al-based system to create and assess
quizzes in algebra on its own. The primary goal is to make math practice more
engaging, available to all and simpler for everyone involved in learning. As an
important topic in math, algebra needs consistent practice and QUICKQU1Z provides
this by generating intelligent exercises automatically.
The system was built using Flask on the backend which gave users a fast and
interactive web page. An LLM was included to build algebra quizzes in three types:
MCQs, Fill-in-the-Blanks and True/False questions. To maintain topic relevance,
prompt engineering was applied to remove anything that did not involve mathematics.
The system checks how users react quickly and helps them with instant feedback.
Users were given a new feature making it easier to see how accurate GPT’s generated
content was. As a result, users can interact with the program, their data is managed
checked on the backend to give them a smooth and
The system was released as a web application which proved
properly, and feedback is
informative experience,
its value in creating quizzes, checking user inputs and engaging users
