UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 12 | Issue 7 | July 2025

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Published in:

Volume 11 Issue 12
December-2024
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2412070


Registration ID:
550253

Page Number

a779-a788

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Title

A FRAMEWORK FOR EVALUATING ADAPTIVE E-LEARNING PLATFORM IN HIGHER EDUCATION

Abstract

An emerging method in education and learning is e-learning. The goal of adaptive e-learning is to recognize each person's unique learning style and skill set and adjust accordingly. Further offers a way to analyze the behavioral learning pattern and offers thorough performance and skill mapping, allowing users to recognize the areas in which they need to develop. In a proposed personalized e-learning framework, learning objects are categorized based on how well they suit various learning types and styles. The learning objects are then made available to individual learners based on their requirements, preferences, and skill levels. In order to do this, the learner's knowledge level for each domain idea in the learning material is determined and updated. In particular, every time the student's understanding of a domain idea shifts, the way that a learner's understanding of connected topics changes must also be inferred by the system. By doing this, the system determines whether or not the student is learning, and if so, it modifies the learning material delivery to match the needs and learning speed of each individual learner.

Key Words

An emerging method in education and learning is e-learning. The goal of adaptive e-learning is to recognize each person's unique learning style and skill set and adjust accordingly. Further offers a way to analyze the behavioral learning pattern and offers thorough performance and skill mapping, allowing users to recognize the areas in which they need to develop. In a proposed personalized e-learning framework, learning objects are categorized based on how well they suit various learning types and styles. The learning objects are then made available to individual learners based on their requirements, preferences, and skill levels. In order to do this, the learner's knowledge level for each domain idea in the learning material is determined and updated. In particular, every time the student's understanding of a domain idea shifts, the way that a learner's understanding of connected topics changes must also be inferred by the system. By doing this, the system determines whether or not the student is learning, and if so, it modifies the learning material delivery to match the needs and learning speed of each individual learner.

Cite This Article

"A FRAMEWORK FOR EVALUATING ADAPTIVE E-LEARNING PLATFORM IN HIGHER EDUCATION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 12, page no.a779-a788, December-2024, Available :http://www.jetir.org/papers/JETIR2412070.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"A FRAMEWORK FOR EVALUATING ADAPTIVE E-LEARNING PLATFORM IN HIGHER EDUCATION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 12, page no. ppa779-a788, December-2024, Available at : http://www.jetir.org/papers/JETIR2412070.pdf

Publication Details

Published Paper ID: JETIR2412070
Registration ID: 550253
Published In: Volume 11 | Issue 12 | Year December-2024
DOI (Digital Object Identifier):
Page No: a779-a788
Country: Nairobi, Kenya, Kenya .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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