Personalized Education Platform using Machine Learning Test phase, srs, design phase and source code final deliverable

Personalized Education Platform using Machine Learning Test phase, srs, design phase and source code final deliverable

Domain / Category Web Development

Abstract / Introduction

The purpose of this project is to develop a personalized education platform that utilizes machine learning algorithms to provide tailored learning experiences for students based on their strengths, weaknesses, and learning styles. The platform will leverage data analytics and machine learning techniques to analyze student’s progress and generate recommendations for personalized learning pathways. Objectives:

• Develop a web-based education platform that can be accessed from any device with an internet connection
• Utilize data analytics and machine learning algorithms to analyze student’s performance and generate personalized learning pathways.
• Provide recommendations for supplementary materials, activities, and assessments that align with the student’s interests and goals Methodology:

The proposed platform will be developed using the latest web development technologies, such as ReactJS, NodeJS, and MongoDB. Machine learning algorithms will be developed using Python and TensorFlow to analyze student data, identify patterns, and generate personalized learning pathways. The algorithm will take student results and preferences as inputs and generate learning pathways based on them. For example, if a student is taking an English language course the system will ask the student which areas of English he/she wants to improve or focus on. Based on the student’s choices, the system will design a learning pathway for the student. Expected Outcomes:

• A functional education platform that provides personalized learning experiences based on student’s strengths, weaknesses, and learning styles
• Machine learning models that can analyze student data and generate personalized learning pathways.
• Improved student engagement and performance through personalized learning experiences.

Functional Requirements:

1. User Authentication: The system should have a secure and reliable authentication mechanism that allows users to sign up, log in, and access the platform.
2. User Profile: The system should provide users with the ability to create and manage their profiles, which includes personal information, preferences, interests, and goals.
3. Assessment: The system should provide different types of assessments (e.g., quizzes, exams, assignments) to evaluate the user’s knowledge and skills.
4. Recommendation System: The system should use machine learning algorithms to analyze the user’s assessment results and generate personalized learning pathways.
5. Content Management: The system should provide an easy-to-use interface for managing educational content (e.g., videos, articles, presentations, interactive exercises).
6. Learning Pathways: The system should provide users with personalized learning pathways based on their assessment results and learning goals. Personalized learning pathways means quizzes and contents available to students according to his/her level of understanding.
7. Progress Tracking: The system should provide users with a progress tracking mechanism that shows their performance, achievements, and areas of improvement.
8. Reporting: The system should generate reports on user’s performance, learning outcomes, and other relevant metrics to help teachers and administrators make informed decisions.

Tools:

React JS or Node JS or any other.

Python or any other programming language for machine learning.

Supervisor:

Name: Hina Rafique