ConnectED-AI: Connecting Education with Artificial Intelligence

Year : 2024 | Volume :11 | Issue : 01 | Page : 36-50
By

Abhinandan Alankar Mokal

Yash Ramesh Chorghe

Shubham Nandkishor Mokal

Atharv Varshanand Patil

Ankush Balaram Pawar

  1. Student Department of Computer Science and engineering, Vishwaniketan’s Institute of Management Entrepreneurship and Engineering Technology (VIMEET), Khalapur Maharashtra India
  2. Student Department of Computer Science and engineering, Vishwaniketan’s Institute of Management Entrepreneurship and Engineering Technology (VIMEET), Khalapur Maharashtra India
  3. Student Department of Computer Science and engineering, Vishwaniketan’s Institute of Management Entrepreneurship and Engineering Technology (VIMEET), Khalapur Maharashtra India
  4. Student Department of Computer Science and engineering, Vishwaniketan’s Institute of Management Entrepreneurship and Engineering Technology (VIMEET), Khalapur Maharashtra India
  5. Head of Department Department of Computer Science and engineering, Vishwaniketan’s Institute of Management Entrepreneurship and Engineering Technology (VIMEET), Khalapur Maharashtra India

Abstract

In a rapidly evolving educational landscape, the role of technology and artificial intelligence (AI) in enhancing learning experiences has gained immense importance. The “ConnectED-AI” project represents a pioneering effort to leverage AI to empower students with personalized and effective educational resources. This report provides an overview of the “ConnectED-AI” project, which is designed to address the diverse and dynamic learning needs of students. Our project aims to connect students with AI-driven educational resources, offering tailored study plans and curated question sets for various exams based on individualized preferences and available preparation time. Through the integration of machine learning algorithms and data-driven insights, “ConnectED-AI” offers a user-friendly interface that allows students to input their exam details and study constraints. Subsequently, the system generates personalized study plans, recommends important questions, and provides access to relevant study materials. This report discusses the methodology employed in data collection and system development, along with the system’s architecture and functionalities. We present the results of the “ConnectED-AI” project, demonstrating its effectiveness in assisting students in achieving their academic goals. Additionally, we engage in a thorough discussion of our findings, highlighting both the project’s successes and areas for improvement. In response to these critical issues, the “ConnectED-AI” project adopts a data-driven, AI-powered approach to education. Anchored in cutting-edge technologies such as machine learning, natural language processing, and neural networks, this initiative aspires to deliver a transformative educational experience.

Keywords: Personalized learning, AI-driven education, adaptive study plans, educational resources, student empowerment

[This article belongs to Journal of Open Source Developments(joosd)]

How to cite this article: Abhinandan Alankar Mokal, Yash Ramesh Chorghe, Shubham Nandkishor Mokal, Atharv Varshanand Patil, Ankush Balaram Pawar. ConnectED-AI: Connecting Education with Artificial Intelligence. Journal of Open Source Developments. 2024; 11(01):36-50.
How to cite this URL: Abhinandan Alankar Mokal, Yash Ramesh Chorghe, Shubham Nandkishor Mokal, Atharv Varshanand Patil, Ankush Balaram Pawar. ConnectED-AI: Connecting Education with Artificial Intelligence. Journal of Open Source Developments. 2024; 11(01):36-50. Available from: https://journals.stmjournals.com/joosd/article=2024/view=143434





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Regular Issue Subscription Review Article
Volume 11
Issue 01
Received April 2, 2024
Accepted April 7, 2024
Published April 15, 2024