Develop a mobile application to help UTAR students to find better assignment teammates

Lee, Zi Hong (2022) Develop a mobile application to help UTAR students to find better assignment teammates. Final Year Project, UTAR.

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Abstract

In this project, a mobile application is built with the aim to help UTAR students to find better assignment teammates for academic purpose. It will provide students opportunities to team up with students of his or her preference with the settings. This will allow students to score the desired marks easily as they will be able to view and choose team members that have the same target such as wanting to pass or scoring A. System will then match the students with the same target together and grant them opportunities to form a team and discuss. From the design point of view, emphasis is laid on social media design flow as the intention is to create a platform for UTAR students to meet, communicate and discuss with each other. Privacy and security are also emphasized as social media means to share content via network so students will be able to choose to reveal the information or not where the project will protect students’ account with biometric authentication. As a social media type project, identity, conversations, sharing, presence, reputation, and groups from functional building blocks of social media are stressed. Students will be able to edit and decorate his or her own profile with information and pictures to reveal their identify and also able to communicate with each other in the same platform. Here, students will also be having the ability to post forum to ask questions and solving doubts. The posts can be liked, commented and shared to allow interaction and information exchange between students. Students will be able to view a pie chart of academic performance to quickly identify one’s performance and preference so that they are able to choose the better assignment teammates to work together with. Furthermore, preferences can be selected including age, gender, current homestay and more based on the students’ preferences. They can select all to match regarding of the criteria where they will all be able to view the student academic performance of another student. Student academic performance included attendance which occupy 20%, lecturers’ review and students’ review with both occupying 40%. For each of the category, greater than 90% will be consider good, less than 90% and more than 80% will be consider average while less than 80% will be consider bad. Different colours will be shown to indicate each category respectively to allow students easily identify their own and others’ academic performance result and make decision on to carry on or so.

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