International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

EduMe – Student Guidance and Intelligent System for Personalized Learning Path

A.H.L.R. WeerasingheDepartment of Computer Science and Software Engineering, Sri Lanka Institute of Information Technology, Malabe, Sri LankaP.R.K. PeramunaDepartment of Computer Science and Software Engineering, Sri Lanka Institute of Information Technology, Malabe, Sri LankaV.D.M.H.D. RathnayakeDepartment of Computer Science and Software Engineering, Sri Lanka Institute of Information Technology, Malabe, Sri LankaK.A.D.A.U. KanakasekraDepartment of Computer Science and Software Engineering, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka

Vol 7 No 11 (2023): Volume 7, Issue 11, November 2023 | Pages: 147-153

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 08-11-2023

doi Logo doi.org/10.47001/IRJIET/2023.711021

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Abstract

EduMe, a web application aimed at enhancing the e-learning experience for students. EduMe comprises four core components: an Automated Personalized Timetable Generator, a Student Behavior Tracking Unit, a Text Summarizer and an Automatic Question Generator and Answer Assessment. These components address challenges such as personalized time management, study focus tracking, efficient content summarization, and interactive question generation. The application provides students with an adaptive learning environment, empowering them to excel in their academic pursuits through personalized resources and guidance. The system is developed using a blend of cutting-edge technologies including image processing, Natural Language Processing, machine learning algorithms and reinforcement learning. Overall, EduMe serves as a valuable tool to support self-study methods for undergraduate students, providing them with the necessary resources and guidance to optimize their learning experiences.

Keywords

Self Learning, Machine Learning, natural language processing, Personalized learning


Citation of this Article

A.H.L.R. Weerasinghe, P.R.K. Peramuna, V.D.M.H.D. Rathnayake, K.A.D.A.U. Kanakasekra, “EduMe – Student Guidance and Intelligent System for Personalized Learning Path” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 7, Issue 11, pp 147-153, November 2023. Article DOI https://doi.org/10.47001/IRJIET/2023.711021

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