This article explores the impact of Artificial Intelligence (AI) tools on teaching methods and faculty performance in higher education. AI technologies have revolutionized education by personalizing learning experiences, enhancing content creation, and automating administrative tasks, thus allowing educators to focus more on teaching and professional development. Tools like Perplexity AI, Quill Bot, and ChatGPT aid in content development, making lessons more interactive and accessible. AI-driven platforms, such as Learning Management Systems, offer valuable data-driven insights that help educators adjust teaching strategies to boost student performance. The study also highlights the positive effects of AI on faculty productivity, including improved time management, increased collaboration, and enhanced professional growth through tailored training. By automating repetitive tasks such as grading and scheduling, AI enables faculty to dedicate more time to student interaction and curriculum development. Additionally, AI tools support cross-disciplinary collaboration and enhance student retention by tracking progress and facilitating timely interventions. The article concludes that while AI presents numerous advantages for higher education, its successful implementation depends on addressing both challenges and educators’ satisfaction levels. Findings indicate a positive correlation between satisfaction, challenges, and the use of AI tools in teaching.

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A Critical Analysis of AI Tools in Enhancing Teaching Methods and Faculty Performance in Higher Education

  • S. Sridevi,
  • G. Deebikaa,
  • K. Pavithra,
  • S. Subalakshmi

摘要

This article explores the impact of Artificial Intelligence (AI) tools on teaching methods and faculty performance in higher education. AI technologies have revolutionized education by personalizing learning experiences, enhancing content creation, and automating administrative tasks, thus allowing educators to focus more on teaching and professional development. Tools like Perplexity AI, Quill Bot, and ChatGPT aid in content development, making lessons more interactive and accessible. AI-driven platforms, such as Learning Management Systems, offer valuable data-driven insights that help educators adjust teaching strategies to boost student performance. The study also highlights the positive effects of AI on faculty productivity, including improved time management, increased collaboration, and enhanced professional growth through tailored training. By automating repetitive tasks such as grading and scheduling, AI enables faculty to dedicate more time to student interaction and curriculum development. Additionally, AI tools support cross-disciplinary collaboration and enhance student retention by tracking progress and facilitating timely interventions. The article concludes that while AI presents numerous advantages for higher education, its successful implementation depends on addressing both challenges and educators’ satisfaction levels. Findings indicate a positive correlation between satisfaction, challenges, and the use of AI tools in teaching.