Honors College Theses
Publication Date
7-23-2018
Major
Computer Science (B.S.)
Document Type and Release Option
Thesis (open access)
Faculty Mentor
Dr. Andrew Allen
Abstract
For many students entering college, meeting new people and studying are a common struggle. Study groups are generally recommended, especially if the groups are comprised of members with complementary personality traits. But the challenge still remains, how do freshmen or transfer students find and form these heterogeneous study groups. In order to help alleviate this issue, an Android application was developed to automatically create study groups for students. Using basic information provided by students upon registration, the algorithm is able to automatically find matching group members. The application was designed using an agile life cycle model over the course of a year. Once development was completed, a study was conducted using the application which analyzed the resulting data and found it to be effective.
Recommended Citation
Rosado-Ayala, Kelvin J., "An Algorithmic Approach to Creating Effective Study Groups Using a Smart Phone App" (2018). Honors College Theses. 364.
https://digitalcommons.georgiasouthern.edu/honors-theses/364
Included in
Other Computer Sciences Commons, Software Engineering Commons, Theory and Algorithms Commons
