Integrating AI-Powered Library Systems to Enhance Research and Learning in English Language Departments: A Case Study of Faculty and Student Perceptions

Abstract

The integration of AI-powered library systems into academic institutions offers significant potential to enhance research and learning experiences, particularly in English Language Departments. This study explores the perceptions of faculty and students regarding the use of AI-driven technologies, such as automated research assistants, personalized content recommendations, and AI-based search engines. Through a mixed-methods approach, the study examines the benefits, challenges, and ethical concerns associated with these systems. Findings suggest that while AI improves research efficiency and personalizes learning, challenges related to usability, accuracy, and ethical issues, such as algorithmic bias and data privacy, persist. The study emphasizes the need for responsible implementation, balanced with traditional academic processes, to fully harness AI’s potential in supporting research and education in English Language Departments.