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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM40649
Volume:
9 |
1 |
Jan 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
The integration of artificial intelligence through intelligent tutoring systems (ITSs) and conversational chatbots can transform traditional educational methods by introducing new teaching and learning processes. Through the utilization of cognitive diagnostic models combined with machine learning techniques and natural language processing these systems create dynamic and adaptive learning environments, adoption of this technology encounters numerous challenges including mismatches with educational frameworks, scalability problems, and ethical concerns. The educational landscape is being shaped by emerging trends including AI-powered learning analytics emotion-aware tutoring systems and intelligent recommender systems which enhances both student engagement and personalized learning experiences. The potential impact of AI-driven education depends on its effectiveness and equality which requires interdisciplinary methods to balance ethical considerations with technological progress. This study embarks on a critical examination of fundamental elements to build education systems that are inclusive, efficient, and future-ready while exploring the responsible integration of AI technologies.
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Publication Date
7/2/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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The authors declare no conflict of interest related to this research work.
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