A Data Analysis Study on Campus Social Event Participation: A Case at a Foundation University

Abstract

This paper investigates the impact of various factors on event participation among students at a foundation university using data analysis methods. Campus social events are crucial for supporting social interaction, professional development, and skill acquisition, which enhance the overall student experience. The primary challenge in such analyses is the data size and availability, as collecting sufficient data via student surveys is difficult. This study aims to overcome these challenges through a defined methodology and data collection process.The study formulates four hypotheses: the impact of event type, GPA, gender differences, and communication channels on event participation. Data was collected through a survey involving 71 students, covering demographics, interests, and event participation details. The hypotheses were tested using appropriate statistical methods. The results indicated no significant differences in participation rates based on gender or GPA. However, the relationship between event type, student interests, and the effectiveness of communication channels in promoting participation was analyzed, providing insights for optimizing event planning.This study shows the importance of understanding the factors influencing student participation in university events, offering strategies for improving engagement and enhancing the student experience. © 2024 IEEE.