Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/184086
Title: AI-based personalised learning tool
Authors: Lim, Amabel Hui Xin
Keywords: Computer and Information Science
Issue Date: 2025
Publisher: Nanyang Technological University
Source: Lim, A. H. X. (2025). AI-based personalised learning tool. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/184086
Project: CCDS24-0685
Abstract: As digital education continues to evolve, there is a growing demand for educational tools that can adapt to the individual needs and learning preferences of students. This project focuses on the development of AdaptEd, an AI-based personalised learning tool designed to customise educational content and learning pathways based on students’ learning preferences and progress. The system leverages rule-based algorithms and decision trees to dynamically adjust learning pathways, ensuring that content is both relevant and appropriately challenging. In addition, features that enhance the personalisation of the user experience are also incorporated. AdaptEd was developed using React Native for the mobile interface and Appwrite for backend services, including data management and authentication. Post development, AdaptEd was evaluated and user feedback was collected to assess its effectiveness in delivering a personalised learning experience. Based on the feedback, areas of improvements were identified, and suggestions for new features were outlined as potential future work to create a better learning environment for users.
URI: https://hdl.handle.net/10356/184086
Schools: College of Computing and Data Science 
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:CCDS Student Reports (FYP/IA/PA/PI)

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