Course recommendation based on query classification approach

Z Gulzar, AA Leema - International Journal of Web-Based Learning …, 2018 - igi-global.com
This article describes how with a non-formal education, a scholar has to choose courses
among various domains to meet the research aims. In spite of this, the availability of large …

Predictive modeling for student retention at St. Cloud state university

H Dissanayake, D Robinson… - Proceedings of the …, 2016 - search.proquest.com
Student graduation rates have always taken prominence in academic studies since they are
considered a major factor in the performance of any university. Accurate models for …

Graduate school recommender system: Assisting admission seekers to apply for graduate studies in appropriate graduate schools

M Hasan, S Ahmed, DM Abdullah… - 2016 5th International …, 2016 - ieeexplore.ieee.org
In this paper, we present an applied research on designing and developing a recommender
system for graduate admission seekers which can help them to choose graduate school …

University selection model using machine learning techniques

L Mostafa, S Beshir - The International Conference on Artificial Intelligence …, 2021 - Springer
College admission is a decision that affects the student's career life. Students have to think
about all available options and draw their career path before selecting the college. High …

A comparison of classification models in predicting graduate admission decision

A Iman, X Tian - Journal of Higher Education Theory and Practice, 2021 - articlearchives.co
While the decision process of graduate admissions remains elusive, specific criteria are
decidedly significant in determining admission outcome. Prospective students applying to …

Personalized and explainable course recommendations for students at risk of dropping out

K Wagner, A Merceron, P Sauer… - Proceedings of the …, 2022 - educationaldatamining.org
This paper presents a course recommender system designed to support students who are
struggling in their first semesters of university and who are at risk of dropping out …

[PDF][PDF] A review of recommender systems for choosing elective courses

M Maphosa, W Doorsamy, B Paul - International Journal of …, 2020 - academia.edu
In higher education, students face challenges when choosing elective courses in their study
programmes. Most higher education institutions employ advisors to assist with this task …

Content-Based Course Recommender System for Liberal Arts Education.

R Morsomme, SV Alferez - International educational data mining society, 2019 - ERIC
Liberal Arts programs are often characterized by their open curriculum. Yet, the abundance
of courses available and the highly personalized curriculum are often overwhelming for …

pGPA: a personalized grade prediction tool to aid student success

M Sheehan, Y Park - Proceedings of the sixth ACM conference on …, 2012 - dl.acm.org
Many educational institutions are starting to make use of their scholastic data to improve the
academic experience for their students. To aid in this endeavor we have developed a …

[PDF][PDF] Using factorization machines for student modeling.

N Thai-Nghe, L Drumond, T Horváth… - UMAP …, 2012 - academia.edu
Predicting student performance (PSP), one of the task in Student Modeling, has been taken
into account by educational data mining community recently. Previous works show that good …