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Personalized Learning recommendation System using AI
Personalized learning refers to instruction in which the pace of learning and the instructional approach are optimized for the needs of each learner. Learning objectives, instructional approaches, and instructional content (and its sequencing) may all vary based on learner needs. In addition, in personalized learning, learning activities are made available that are meaningful and relevant to learners, driven by their interests and often self-initiated. References: https://medium.com/swlh/personalized-learning-through-artificial-intelligence-b01051d07494 ...learn more
Project status: Concept
Intel Technologies
Intel CPU
Overview / Usage
Every student is different — including the ways in which they learn.The premise for Personalized Learning is to create custom curriculum and learning objectives, based on the learning needs of each individual student.
The first component of implementing personalized learning is getting to know the student and their educational background, interests, and academic goals. Having an understanding of where a student is coming from and where they want to go helps create a custom experience. Why? Distinguishing the student’s background and goals from past students allows our team to recognize that there is no ‘one size fits all’ for academic material retention and comprehension.
Methodology / Approach
In this project we are going to analyze data of individual students to understand their learning style from past academic record .
And based on that we will build a recommendation system which will recommend the best suited learning style for an Individual
Technologies Used
Machine Learning
Artificial Intelligence
Python
Data Science
