Published 2024-04-15
This work is licensed under a Creative Commons Attribution 4.0 International License.
Abstract
The use of artificial intelligence (AI) in higher education has grown significantly, especially in hybrid and distance learning environments. This research analyzes the impact of AI in higher education, focusing on faculty and student perceptions of its effectiveness, strategic advantages, and ethical challenges. A descriptive-correlational quantitative approach was adopted, using a Likert-type survey administered to 895 students and 75 faculty members at a public university in Colombia. The results reveal a high level of acceptance of AI as a strategic tool in education: 87% of respondents value it positively in educational devices, and 82% believe it improves teaching processes. However, ethical concerns persist regarding the responsible use of these technologies, particularly concerning the implementation of codes of conduct in institutions. Regarding hybrid learning models, 87% support their integration, recognizing the flexibility and personalization they offer. Statistical analysis, including ANOVA, Pearson correlation, and linear regression, confirms a moderate relationship between perceived AI efficiency and improved learning (R² = 0.14), indicating that while AI is seen as a valuable tool, other factors also influence academic performance. The findings suggest that, to maximize the benefits of AI, universities should develop clear and ethical policies for its integration and promote ongoing faculty training in these emerging technologies.