A recommender for improving the student academic performance
There is a growing awareness among researchers about the apparent variations in the
academic performance of students in tertiary institutions. Although, many studies have …
academic performance of students in tertiary institutions. Although, many studies have …
E-learning recommender system for learners: a machine learning based approach
K Chaudhary, N Gupta - International Journal of Mathematical …, 2019 - search.proquest.com
Web mining procedure helps the surfers to get the required information but finding the exact
information is as good as finding a needle in a haystack. In this work, an intelligent …
information is as good as finding a needle in a haystack. In this work, an intelligent …
HRSPCA: Hybrid recommender system for predicting college admission
AHM Ragab, AFS Mashat… - 2012 12th International …, 2012 - ieeexplore.ieee.org
This paper presents a new college admission system using hybrid recommender based on
data mining techniques and knowledge discovery rules, for tackling college admissions …
data mining techniques and knowledge discovery rules, for tackling college admissions …
[PDF][PDF] A proposed course recommender model based on collaborative filtering for course registration
NB Salehudin, H Kahtan, MA Abdulgabber… - International Journal of …, 2019 - academia.edu
Students face issues and challenges in making decisions for course registration.
Traditionally, students rely on suggestions from academic advisers prior to course …
Traditionally, students rely on suggestions from academic advisers prior to course …
Recommender system for predicting student performance
Recommender systems are widely used in many areas, especially in e-commerce. Recently,
they are also applied in e-learning tasks such as recommending resources (eg papers …
they are also applied in e-learning tasks such as recommending resources (eg papers …
Optimizing University Admissions: A Machine Learning Perspective
The university admission process plays a pivotal role in shaping the future of aspiring
students. However, traditional methods of admission decisions often fall short in capturing …
students. However, traditional methods of admission decisions often fall short in capturing …
A machine learning approach for graduate admission prediction
A AlGhamdi, A Barsheed, H AlMshjary… - Proceedings of the 2020 …, 2020 - dl.acm.org
With the increase in the number of graduates who wish to pursue their education, it becomes
more challenging to get admission to the students' dream university. Newly graduate …
more challenging to get admission to the students' dream university. Newly graduate …
An intelligent recommendation engine for selecting the University for Graduate Courses in KSA: SARS Student Admission Recommender System
Z Khanam, S Alkhaldi - Inventive Computation Technologies 4, 2020 - Springer
Completing the school degree and selecting an appropriate university/college for graduation
could be a stressful and a confusing venture. Searching for an appropriate college online in …
could be a stressful and a confusing venture. Searching for an appropriate college online in …
Selection of the right undergraduate major by students using supervised learning techniques
University education has become an integral and basic part of most people preparing for
working life. However, placement of students into the appropriate university, college, or …
working life. However, placement of students into the appropriate university, college, or …