TUG
- What
- A real-time web platform for forming teams in KAIST classes.
- Why
- Remote teaching through the pandemic removed the places where students get to know each other, leaving nothing to judge a prospective teammate by.
- How
- A quiz surfaces candidates with matching interests, an anonymised chat with a moderating bot lets them talk, and a credit record shows how much each person contributed to earlier group projects. Built on React and the Firebase realtime database.
- New
- Anonymity lowers the social cost of choosing while the credit record still exposes a history of free-riding, so a choice can be both comfortable and informed.
Abstract
Credit history of members are shown during the chatting session. This will give users further information in assessing teammates that are diligent workers and free riders.
Many KAIST students are having difficulties finding credible and suitable team members for group projects since the remote environment under pandemic does not give students communal places to get to know each other. To solve this problem, team TUG created a real-time web platform that creates a virtual space where students can discover new people, interact through an anonymized chat system and form the best possible team without feeling any social pressure. Our system is unique in the sense that it 1) deploys a fun quiz session to discover most suitable teammates through a premade algorithm, 2) provides a chatting session where people can interact freely with the help of a moderation chatbot, and 3) provides information of each candidates through our distinctive credit system that is used to acknowledge their overall participation on previous group projects.