AR-Based Study Helper: An Interactive 3D Learning System for Education

Authors

  • N. Sai Poojitha students, Department of Computer Science and Engineering, SRK Institute of Technology, Vijayawada, 521108, Andhra Pradesh, India Author
  • Rajeswari students, Department of Computer Science and Engineering, SRK Institute of Technology, Vijayawada, 521108, Andhra Pradesh, India Author
  • J. Harika students, Department of Computer Science and Engineering, SRK Institute of Technology, Vijayawada, 521108, Andhra Pradesh, India Author
  • K. Arthi students, Department of Computer Science and Engineering, SRK Institute of Technology, Vijayawada, 521108, Andhra Pradesh, India Author
  • K. Jairam Assistant Professor, Department of Computer Science and Engineering, SRK Institute of Technology, Vijayawada, 521108, Andhra Pradesh, India Author

DOI:

https://doi.org/10.47392/IRJAEM.2026.0068

Keywords:

Augmented reality learning, Interactive 3D visualization, Online quiz assessment, Voice-assisted learning, Web-based education system

Abstract

In the modern era of digital education, students often encounter challenges in comprehending complex theoretical concepts through conventional text-based learning approaches. To overcome these limitations, this paper proposes an Augmented Reality (AR)-Based Study Helper that enhances the learning experience by integrating interactive 3D visualization, voice- based narration, and automated quiz assessment. The Proposed System is designed as a web-based platform consisting of three main modules: Student, Expert, and Admin. The student module allows learners to log in, select topics using search or dropdown options, view interactive 3D models with synchronized voice and text explanations, and assess their understanding through quizzes. The expert module enables subject experts to add topics, upload 3D models with explanations, and create quiz questions. The admin module is responsible for approving experts, monitoring student performance, tracking expert contributions, and managing system statistics. All modules are supported by an integrated database for efficient data management. This interactive approach greatly improves student interest, understanding of concepts, and long-term learning compared to traditional methods.

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Published

2026-03-19