| CLIENT | Dr. A. Zulal Sevkli, Associate Teaching Professor Computer Science & Software Engineering |
| VISION | This proposed application will give the teacher the most appropriate grouping possible while creating short-term groups repeatedly in the semester. The application will take into account the student’s social identity, long and short-term course performance, and grouping history. The application will be designed as a decision support system and will offer grouping alternatives according to the teacher’s preferences. |
| MISSION | In this project, we needed to address how teachers could achieve optimal grouping of students in grouping situations using personal data (e.g., based on student majors, the average study time, grades, etc.) The biggest problem was accessing this database, so to meet the initial project criteria, we conducted a modeling design that included a web model and market research. The two deliverables firstly cover some of the functions of the web page (e.g., user registration and login page, user input hobby page, user selection of automatic or manual grouping page, etc.), but more on the pages that can influence user decisions. In addition, we needed a lot of article content to support our model as opposed to market research, such as articles with similar features or comparing the differences in functionality between software. |
| TEAM | Yueheng Han Ruoyu Xiang Jiaran Liu Shihao Xia Yiting Chen |
| SITE | megiselection may require vpn access from off campus |