Advancements in Communication and Systems
Implementing Computational Intelligence for Student Classification and Recommendation
Authors: Syed Aamer Hashmi, Yashpal Singh and Harshit Bhardwaj
Publishing Date: 13-09-2024
ISBN: 978-81-955020-7-3
Abstract
Personalized learning has become very crucial in shaping the future of students, with lot of career options available and lack of knowledge about the best domain that can suite and help individual student, there is a need of effective recommender system which will help them to choose the best courses for them. The idea of this research is to create a classification model which will classify students in fast and slow learner, and this will be used to create a recommender system to suggest the best courses that individual student should opt for. The Professional and personal information of students such as their academic marks, family background is used to create the models. Computational intelligence uses a combination of multiple algorithms of Machine learning and Deep learning to create the final model. The use of Computational intelligence gives very good accuracy compared to traditional methods
Keywords
Computational Intelligence, Student Classification, Machine Learning.
Cite as
Syed Aamer Hashmi, Yashpal Singh and Harshit Bhardwaj, "Implementing Computational Intelligence for Student Classification and Recommendation", In: Ashish Kumar Tripathi and Vivek Shrivastava (eds), Advancements in Communication and Systems, SCRS, India, 2024, pp. 567-575. https://doi.org/10.56155/978-81-955020-7-3-50