Our project aims to assist teachers in detecting students who are disconnected from their peers. Students who struggle with loneliness or making social connections can often have troubles later in life which we hope to reduce through our project. The data is gathered from the students by letting them choose who they would like to sit with in class every week. Our website allows the teacher to input the seating choices of each student. This data is analyzed by the website and displayed to the teacher in the form of generated charts, graphs, and statistics. These visuals help teachers to identify which students are lonely or unpopular and improve as more data is added over time. The back-end of the website uses an algorithm written in Python that generates a seating chart that takes into account all of the given data to create a plan that maximizes the number of students who get to sit near their friends. The application uses Python, HTML, CSS, JavaScript and Bootstrap to create a clean and accessible interface for teachers to use to provide a better classroom experience for all of their students.
Authors
First Name
Last Name
Bobby
Chisholm
Shane
Chinburg
Benjamin
Chamberlain
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Submission Details
Conference URC
Event Interdisciplinary Science and Engineering (ISE)