Faculty Perceptions of AI-Based Learning Tools and Their Integration in Higher Education Teaching Practices.

Traditional teaching methods have been completely transformed by the introduction of artificial intelligence (AI) in education, especially in higher education. This study examines how academics view the application of AI-based learning platforms, with a focus on how they may be incorporated into instructional strategies. The paper examines the efficacy, difficulties, and acceptance patterns of AI in academia by synthesising existing literature, reports, and case studies using a secondary data analysis approach. According to the findings, faculty members are generally aware of how AI can improve pedagogical outcomes, including individualised instruction, administrative task automation, and increased student engagement. However, they also voice concerns about data privacy, a lack of institutional support, and the digital divide. In order to optimise AI's educational benefits, this article emphasises the necessity of infrastructure development, faculty training, and strategic implementation.