• Dr. V. Karthika Rani

The rapid advancement of artificial intelligence (AI) in education has transformed pedagogical design, instructional decision-making, and student engagement. This conceptual study investigates how AI applications such as intelligent tutoring systems, adaptive analytics, and predictive assessment tools change instructor efficacy in personalized learning situations. Using a thematic synthesis of empirical and theoretical material released between 2020 and 2025, this paper investigates the junction of AI and teacher agency in adaptive environments. The findings show that AI improves teachers' diagnostic capacity, feedback precision, and pedagogical adaptability, while also raising ethical, epistemic, and professional literacy concerns. The assessment highlights that teacher performance in the age of AI is dependent on a careful mix of human judgment and algorithmic knowledge. It finishes by providing a multidimensional approach for teacher preparation that incorporates data-driven decision-making, ethical AI literacy, and contextually sensitive pedagogical design.

"FROM DATA TO DECISION: AI APPLICATIONS' IMPACT ON TEACHER EFFECTIVENESS IN ADAPTIVE LEARNING ENVIRONMENTS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 12, page no.c201-c209, December-2025, Available :http://www.jetir.org/papers/JETIR2512224.pdf

"FROM DATA TO DECISION: AI APPLICATIONS' IMPACT ON TEACHER EFFECTIVENESS IN ADAPTIVE LEARNING ENVIRONMENTS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 12, page no. ppc201-c209, December-2025, Available at : http://www.jetir.org/papers/JETIR2512224.pdf