Year: 2025
Type: article
Study design: Observational Study
Abstract: Artificial intelligence (AI) has become a key factor in higher education, revolutionizing both teaching methods and student learning. This study aimed to identify the perceptions of university students and professors on the use of AI in academic education. A descriptive study with a quantitative approach was conducted using the deductive method and a Likert scale questionnaire. The results revealed a predominantly low perception of AI in university teaching, with 71.5% of students and 73.1% of professors expressing skepticism about its application. Additionally, 59% of students and 65.9% of professors evaluated the impact of AI on the learning process unfavorably, indicating concerns about its effectiveness in enhancing education. Ethical and privacy considerations showed a contrast, with 84% of students displaying high confidence while 73.2% of professors maintaining moderate trust. These findings highlight a perception gap and a lack of confidence in assessing the impact of AI, emphasizing the urgent need for training programs, comprehensive policies, and evaluation methodologies. Addressing these concerns is crucial for harnessing AI’s potential in higher education and preparing students and professors for an increasingly digitized academic environment.
Source: Frontiers in Education
Institution: National University Toribio Rodríguez de Mendoza
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: gold
Estimated APC paid: $2,353
OpenAlex ID: W4409516548