ERIC Number: EJ905536
Record Type: Journal
Publication Date: 2010-Nov
Pages: 5
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-0018-9359
EISSN: N/A
Analyzing Convergence in e-Learning Resource Filtering Based on ACO Techniques: A Case Study with Telecommunication Engineering Students
Munoz-Organero, Mario; Ramirez, Gustavo A.; Merino, Pedro Munoz; Kloos, Carlos Delgado
IEEE Transactions on Education, v53 n4 p542-546 Nov 2010
The use of swarm intelligence techniques in e-learning scenarios provides a way to combine simple interactions of individual students to solve a more complex problem. After getting some data from the interactions of the first students with a central system, the use of these techniques converges to a solution that the rest of the students can successfully use. This paper uses a case study to analyze how fast swarm intelligence techniques converge when applied to solve the problem of e-learning resource filtering. Some modifications to traditional ant colony optimization (ACO) algorithms based on student filtering are also introduced in order to improve convergence. (Contains 4 figures and 2 tables.)
Descriptors: Electronic Learning, Intelligence, Computer Uses in Education, Educational Resources, Case Studies, Telecommunications, Engineering Education, Engineering, Educational Technology, Experiments, Higher Education, Outcomes of Education, Foreign Countries, Programming
Institute of Electrical and Electronics Engineers, Inc. 445 Hoes Lane, Piscataway, NJ 08854. Tel: 732-981-0060; Web site: http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=13
Publication Type: Journal Articles; Reports - Evaluative
Education Level: Higher Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: Spain (Madrid)
Grant or Contract Numbers: N/A