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Personalized Learning Platform: Revolutionizing Education Through Adaptive Learning Technologies

Year: 2025

Type: article

Abstract: The rapid evolution of educational technology has given rise to personalized learning platforms that tailor educational content to individual learner needs. This paper proposes a comprehensive Personalized Learning Platform (PLP) that integrates adaptive algorithms, data-driven insights, and interactive user interfaces to enhance student engagement and learning outcomes. Utilizing modern web frameworks alongside machine learning techniques, the platform provides customized lesson plans, real-time feedback, and analytics for educators. The study presents the system’s architecture, the methodology for integrating adaptive learning techniques, and results from initial testing that demonstrate improved performance and satisfaction among users. Key Words: Personalized Learning, Adaptive Learning, Educational Technology, Machine Learning, E-Learning Platforms, User-Centric Design

Source: INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT

DOI: 10.55041/ijsrem43230

Authors: Sonali Adhav, Nikhil Potdar, Uday Pawar, Sarvesh Uchale, Nikhil Jagtap

Language: English

Topic: Intelligent Tutoring Systems and Adaptive Learning

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: hybrid

OpenAlex ID: W4408940383

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