AI-Powered Smart Study Planner: Enhancing Personalized Learning Through Intelligent Scheduling Article Swipe

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Gagana Lingshetti , Sarthak Pawar , Manish Shinde , Hamja Sayyed ·

YOU? · · 2025 · Open Access · · DOI: https://doi.org/10.32628/ijsrset2512320

In order to improve individualized learning through intelligent scheduling, this paper presents the creation and assessment of a smart study planner driven by artificial intelligence. By combining user behavior analytics, machine learning algorithms, and educational psychology concepts, the suggested system adjusts to time constraints, academic objectives, and individual learning preferences. The system's ability to enhance academic performance, user satisfaction, and learning efficiency is assessed in this study. The planner's capacity to produce flexible, optimized study plans that surpass conventional planning techniques is demonstrated by experimental results obtained from a varied sample of students.

Related Topics

Urban Planner

Computer Science

Human–Computer Interaction

Artificial Intelligence

Embedded System

Engineering

Operations Management

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Planner Scheduling (production processes) Computer science Human–computer interaction Artificial intelligence Embedded system Engineering Operations management

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Type: article
Language: en
Landing Page: https://doi.org/10.32628/ijsrset2512320
PDF: https://ijsrset.com/index.php/home/article/download/IJSRSET2512320/IJSRSET2512320
OA Status: diamond
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OpenAlex ID: https://openalex.org/W4410281190

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DOI: https://doi.org/10.32628/ijsrset2512320

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Title: AI-Powered Smart Study Planner: Enhancing Personalized Learning Through Intelligent Scheduling

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Type: article

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Language: en

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Publication year: 2025

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Publication date: 2025-05-09

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Authors: Gagana Lingshetti, Sarthak Pawar, Manish Shinde, Hamja Sayyed

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Landing page: https://doi.org/10.32628/ijsrset2512320

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PDF URL: https://ijsrset.com/index.php/home/article/download/IJSRSET2512320/IJSRSET2512320

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OA status: diamond

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OA URL: https://ijsrset.com/index.php/home/article/download/IJSRSET2512320/IJSRSET2512320

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Concepts: Planner, Scheduling (production processes), Computer science, Human–computer interaction, Artificial intelligence, Embedded system, Engineering, Operations management

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