Decision-Tree-Computing-Based Usage Intention Prediction of School Social Media

Social media is the main channel that teenagers use to exchange information. The purpose of this study is to construct a prediction model of school social media usage intention. To collect training data for modeling, we conducted a questionnaire survey on students of a senior high school in Taoyuan...

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Bibliographic Details
Published in:Engineering proceedings 2023-06, Vol.38 (1), p.16
Main Authors: Huai-Te Huang, Hao-En Chueh
Format: Article
Language:English
Subjects:
decision tree computing
prediction model
social media
usage intention
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Summary:Social media is the main channel that teenagers use to exchange information. The purpose of this study is to construct a prediction model of school social media usage intention. To collect training data for modeling, we conducted a questionnaire survey on students of a senior high school in Taoyuan City, Taiwan. The training data processing method was decision tree computing. In this study, the decision tree computing software, Weka, was used to analyze the training data to extract the key factors affecting high school students’ intentions to use school social media. The research results showed that perceived usefulness was the most important factor affecting school social media usage intentions, and trust was the second most important factor affecting school social media usage intention. The prediction model was proposed in this study to predict students’ intentions to use school social media. It serves as a guide for schools to use social media as a channel for distributing important information.
ISSN:2673-4591
DOI:10.3390/engproc2023038016