Abstract
The emergence of collaborative learning has underscored the importance of meaningful student engagement beyond the classroom. However, many students struggle to find study groups that align with their schedules, academic interests, and learning preferences. To address this challenge, StudyConnect, a mobile application, was developed to streamline the process of creating and managing study groups. By leveraging a tailored algorithm and an intuitive interface, the platform connects students based on their courses, availability, and learning styles, fostering more effective collaboration. A user centered design approach guided the development process, incorporating insights from existing study group solutions to enhance usability, real time communication, and group formation efficiency. Technologies such as Flutter, FlutterFlow, and Firebase were integrated to ensure a seamless and responsive experience. Usability testing with college students demonstrated that StudyConnect significantly simplifies the process of forming and managing study groups. Feedback from users of alternative platforms highlighted key areas for improvement, including group size customization and academic calendar integration. This thesis concludes by exploring the broader role of technology in education and presenting recommendations for expanding the platform’s reach and impact.
Advisor
Musgrave, John
Department
Computer Science
Recommended Citation
Abounnaaim, Anas Rayane, "StudyConnect: A Collaborative Platform for Student Study Groups Using Artificial Intelligence" (2025). Senior Independent Study Theses. Paper 11398.
https://openworks.wooster.edu/independentstudy/11398
Disciplines
Artificial Intelligence and Robotics
Publication Date
2025
Degree Granted
Bachelor of Arts
Document Type
Senior Independent Study Thesis
© Copyright 2025 Anas Rayane Abounnaaim