The Impact of Artificial Intelligence on Students' Academic Performance from University Teachers’ Perspectives
Year: 2024
Type: article
Study design: Observational Study
Abstract: Artificial Intelligence is rapidly transforming various sectors, including education. This study investigates the impact of artificial intelligence on students' academic performance across different fields from the perspective of university teachers at different universities in Algeria. The study employed a descriptive analytical approach and a questionnaire was administered to a sample of 150 higher education university teachers. The results indicate that university teachers generally perceive a positive impact of artificial intelligence techniques on students' academic performance, citing improvements in critical thinking, problem-solving skills, independence in learning, and creativity. However, they also acknowledge challenges such as the potential for reduced human interaction, over-reliance on artificial intelligence, the need for teacher training, ethical considerations, and the digital divide. Overall, this study provides valuable insights into the perceptions of university teachers regarding the role of artificial intelligence in education and highlights the need for further research to address the challenges and maximize the benefits of artificial intelligence in higher education.
Source: أطراس
DOI: 10.70091/atras/ai.24
Authors: Sihem GUIDOUM, ElKhansa SAADI
Institution: University of Algiers 3
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: hybrid
OpenAlex ID: W4403148752
