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Artificial intelligence (AI) is significantly changing education. It includes how students engage with the curriculum, how teachers instruct and assess their pupils, and how educators develop policies and procedures in the field of education. This study offers a comprehensive, conceptual overview of AI-driven trends, practical ideas, and instructional strategies at the classroom to system level. This paper analyses pedagogical affordances, and map out effective adoption paths for a variety of emerging AI capabilities, including adaptive learning, natural language processing, intelligent tutoring systems, learning analytics, automated assessment, and generative AI. Factors that mediate whether AI enhances learning or exacerbates gaps are taken into account, including equity, ethics, teacher professional development, infrastructure, and governance.
Useful frameworks and progressive implementation pathways that balance innovation and accountability are recommended for educational institutions, policy makers, and schools. This article's goals are to map the major AI trends currently influencing education, translate these trends into practical ideas and teaching techniques; and offer sound adoption approaches that maximize learning benefits while lowering risks. This paper concludes with recommendations for research, practice, and regulation to ensure that AI's contributions lead to measurable learning advantages, enhanced teacher efficacy, and inclusive learning environments.
Keywords:
Artificial Intelligence, Digital Education, Adaptive learning, Generative AI, Personalised learning, Instructional design, Ethics, Digital equity
Cite Article:
"Pathways to Progress: AI Driven trends, Idea and practices in the field of Education", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 12, page no.b208-b214, December-2025, Available :http://www.ijrti.org/papers/IJRTI2512125.pdf
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator