Role of AI in Improving Teaching-Learning Processes

In the 21st century digital era, Artificial Intelligence (AI) has emerged as a transformative force in education, particularly in enhancing teaching-learning processes. AI offers personalized learning, efficiency in educational administration, intelligent feedback mechanisms, and data-driven instructional support. This research examines the theoretical foundations, applications, benefits, challenges, and future implications of AI in education. AI’s integration holds the potential to improve learning outcomes, redefine teacher roles, and foster student engagement. Drawing on multiple studies, this article discusses AI’s role in personalized learning paths, intelligent tutoring systems, automated assessments, and adaptive learning platforms. It also considers ethical concerns and implementation challenges. The conclusion emphasizes a balanced approach where AI enhances but does not replace human educators.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-01-20
DOI
https://doi.org/10.5281/zenodo.18350770
Primary Topic
Intelligent Tutoring Systems and Adaptive Learning
Type
article
Field-Weighted Citation Impact
0.00
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article

Role of AI in Improving Teaching-Learning Processes

Dr. Anupama Gupta
Zenodo (CERN European Organization for Nuclear Research)
Intelligent Tutoring Systems and Adaptive Learning
article

Role of AI in Improving Teaching-Learning Processes

Dr. Anupama Gupta
article en

Abstract

In the 21st century digital era, Artificial Intelligence (AI) has emerged as a transformative force in education, particularly in enhancing teaching-learning processes. AI offers personalized learning, efficiency in educational administration, intelligent feedback mechanisms, and data-driven instructional support. This research examines the theoretical foundations, applications, benefits, challenges, and future implications of AI in education. AI’s integration holds the potential to improve learning outcomes, redefine teacher roles, and foster student engagement. Drawing on multiple studies, this article discusses AI’s role in personalized learning paths, intelligent tutoring systems, automated assessments, and adaptive learning platforms. It also considers ethical concerns and implementation challenges. The conclusion emphasizes a balanced approach where AI enhances but does not replace human educators.

Zenodo (CERN European Organization for Nuclear Research)
Jai Prakash University (IN)
Quality Education
Openalex Percentile: Top 79%
Intelligent Tutoring Systems and Adaptive Learning
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