INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
Personalized adaptive learning systems represent a promising avenue for revolutionizing education by tailoring learning experiences to individual students' needs, preferences, and learning styles. These systems utilize technology to analyse performance data and behavioural trends, enabling the creation of customized learning paths that address students' strengths and weaknesses. By offering personalized content, pacing, and feedback, these systems promote active learning, foster student engagement, and enhance academic achievement. Through their ability to adapt to diverse learners, personalized adaptive learning systems have the potential to create more inclusive learning environments and improve student outcomes across various age groups and backgrounds. As technology continues to evolve, these systems hold promise for transforming education by enhancing learning experiences and ultimately boosting student success.
Keywords:
Personalized Adaptive Learning, One-size-fits, Real-time data analysis, Diversity in learning, Student engagement
Cite Article:
"ENHANCING THE LEARNING EXPERIENCE THROUGH PERSONALIZED ADAPTIVE LEARNING SYSTEMS", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 4, page no.d186-d191, April-2024, Available :http://www.ijnrd.org/papers/IJNRD2404323.pdf
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ISSN:
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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