Combination of machine learning algorithms for recommendation of courses in E-Learning System based on historical data-Reference-Cited by-同舟云学术

Combination of machine learning algorithms for recommendation of courses in E-Learning System based on historical data

Published:2013-10 Issue: Volume:51 Page:1-14
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Aher Sunita B.,Lobo L.M.R.J.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference32 articles.

1. Data Mining Introductory and Advanced Topics;Dunham,2006

2. Applying data mining techniques to e-learning problems: a survey and state of the art;Castro;Evolution of Teaching and Learning Paradigms in Intelligent Environment. Studies in Computational Intelligence,2007

3. Data mining in course management systems: MOODLE case study and tutorial;Romero;Computers and Education,2007

4. System development and practice of e-learning in graduate school;Seki,2005

5. O.R. Zaïane, J. Luo, Towards evaluating learners’ behavior in a web-based distance learning environment, in: IEEE International Conference on Advanced Learning Technologies, ICALT’01, Madison, WI, August 6–8, 2001, pp. 357–360.

Cited by 134 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Potential factors-embedding group recommendation for online education;Discover Computing;2024-05-09

2. Prerequisite-Enhanced Category-Aware Graph Neural Networks for Course Recommendation;ACM Transactions on Knowledge Discovery from Data;2024-02-28

3. A Comprehensive Survey on Machine Learning Approaches in Course Recommendation System;2024 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS);2024-02-24

4. A Survey on Explainable Course Recommendation Systems;Lecture Notes in Computer Science;2024

5. A personalized recommendation algorithm for online teaching resources of vocal music based on graph neural network;Applied Mathematics and Nonlinear Sciences;2023-12-18