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Other literature type . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Other literature type . 2025
License: CC BY
Data sources: Datacite
ZENODO
Other literature type . 2025
License: CC BY
Data sources: Datacite
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Adaptive Learning Systems: Harnessing AI for Customized Educational Experiences

Authors: Vinothkumar Kolluru, Sudeep Mungara, Advaitha Naidu Chintakunta;

Adaptive Learning Systems: Harnessing AI for Customized Educational Experiences

Abstract

In the changing world of technology adaptive learning systems have become essential innovations offering to transform how educational content is delivered and personalized. This study delves into how artificial intelligence (AI) is used to create learning systems by utilizing the EdNet Dataset, which's available, to the public. It emphasizes AIs ability to revolutionize experiences for a range of students. These systems use AI to adjust content in time based on feedback, from learners tailoring teaching methods to suit individual learning styles and speeds. This adaptability helps boost performance. Creates a more interactive and responsive learning environment. By employing clustering algorithms and recommender systems this research illustrates how AI can enrich learning experiences catering to each students challenges and objectives. The research evaluates the effectiveness of these AI powered learning models using performance measures presenting concrete evidence of their potential to enhance learning outcomes. Overall this study contributes to the progress of technology by demonstrating the practicality and advantages of integrating AI into learning systems.

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green