The purpose of the proposed graduation project is to add an intelligent question creation add-on to the Moodle learning management system, focusing on multiple-choice (MCQ) and true/false forms. This creative method involves lecturers uploading lecture materials to Moodle with the required number, kind (MCQ or true/false), and degree of difficulty of questions specified. Using sophisticated natural language processing (NLP) models, the system carefully examines the content and gives the specified parameters, providing a range of pertinent queries. Subsequently, the instructor chooses the most important questions, which are saved along with matching sample answers. This customized solution guarantees that the questions meet the format requirements and streamlines the question development process. By incorporating AI and NLP into the educational framework, the project offers instructors a user-friendly interface that facilitates effective content creation on the Moodle platform.

Reduce the time and effort required for professors to manually create questions by automating the process based on lecture content.

Create a range of question types that match different patterns of learning and improve the educational process as a whole.

Ensure that the evaluation methodology is unbiased and consistent for all courses.

To create a wide question bank that may be relied on repeatedly for many semesters in the long term.

To give both professors and students insights, collect data on student performance and question difficulty.”

Question Generation: Our system is designed to automatically generate exam questions by extracting the content of lecture files within a learning management system (Moodle).

Integration with LMS: Our system seamlessly integrates with the Moodle LMS and works as a plug-in for facilitating the extraction of lecture content and the delivery of the generated questions.

Customization: Educators can customize the question bank upon their preference, by choosing the types of questions, along with preferred difficulty levels.