JOURNAL ARTICLE

MACHINE LEARNING ALGORITHMS FOR PERSONALIZED LEARNING PATHS

Year: 2024 Journal:   International Research Journal of Modernization in Engineering Technology and Science

Abstract

To meet the demands of today's students, who have a wide range of learning styles and requirements, personalized learning pathways have recently gained popularity.This article delves deep into individualized learning routes and how machine learning algorithms may be used to create them.This review of customized learning routes shows the evolution of individualized learning plans from cookie-cutter methods to those that cater to each student's unique interests and strengths.Teachers may help students become more invested, competent, and self-reliant by adopting a personalized learning approach and using it to design adaptive learning experiences.The use of machine learning algorithms to provide customized learning experiences is at the heart of our research.We use decision trees, neural networks, and recommender systems because they can adapt to different learners' needs and effectively personalize education.These algorithms employ data-driven insights to detect student traits, predict learning results, and offer individualized learning routes.We found several important things that have significant consequences for education.We show that tailored learning routes driven by ML algorithms are feasible and successful via extensive testing and assessment.These customized learning strategies boost student engagement and academic accomplishment and foster selfdirected learning and autonomy.Our results have significant ramifications for more than just individualized education; they provide new light on how machine learning can transform how we educate the next generation.By adopting data-driven techniques, educators may enhance instructional delivery, respond to various student requirements, and build inclusive learning environments.In conclusion, this research demonstrates the revolutionary potential of individualized learning routes in education and stresses the crucial role of machine learning algorithms in fulfilling this goal.By adopting new ways to tailor education, we can enable learners to attain their full potential and build lifelong learning habits.

Keywords:
Computer science Machine learning Artificial intelligence Active learning (machine learning) Algorithm

Metrics

2
Cited By
1.28
FWCI (Field Weighted Citation Impact)
9
Refs
0.75
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Neural Networks and Applications
Physical Sciences →  Computer Science →  Artificial Intelligence
Advanced Data Processing Techniques
Physical Sciences →  Engineering →  Control and Systems Engineering
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