Frontiers in Educational Research, 2024, 7(3); doi: 10.25236/FER.2024.070328.
Simiao Jiang1, Le Qi2
1Faculty of Electrical and Control Engineering, Liaoning Technical University, Huludao, 125105, China
2Basic Teaching Department, Liaoning Technical University, Huludao, 125105, China
In today's era, the rapid development of artificial intelligence is reshaping higher education, and influencing our learning, life, and work. This study investigates the impact of artificial intelligence (AI) on college students' learning attitudes and effectiveness. A comprehensive evaluation model was developed from a survey of 4605 students, using principal component analysis and entropy weighting. The attitudes of 1729 students towards AI were analyzed, showing a normal distribution trend. The study utilized logistic regression to examine the influence of respondent characteristics on attitudes toward AI, establishing a 12-group correlation model. Tests confirmed the model's validity. The findings revealed that internet usage time negatively correlates with AI learning inclination, while factors like gender and personality show minimal impact. The study encapsulates 19 significant conclusions, providing practical insights aligned with real-world contexts.
Questionnaire, Artificial Intelligence, College Student Learning, Logistic Regression
Simiao Jiang, Le Qi. Analysis of Artificial Intelligence Applications and Their Impacts on Higher Education. Frontiers in Educational Research (2024) Vol. 7, Issue 3: 162-170. https://doi.org/10.25236/FER.2024.070328.
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