Performance Analysis of Parallel Particle Swarm Optimization Based Clustering of Students

While accurate computational models that embody learning efficiency remain a distant and elusive goal, big data learning analytics approaches this goal by recognizing competency growth of learners, at various levels of granularity, using a combination of continuous, formative, and summative assessme...

Full description

Bibliographic Details

Published in:	Proceedings (IEEE International Conference on Advanced Learning Technologies) pp. 446 - 450
Main Authors:	Govindarajan, Kannan, Boulanger, David, Seanosky, Jeremie, Bell, Jason, Pinnell, Colin, Kumar, Vivekanandan Suresh, Kinshuk, Somasundaram, Thamarai Selvi
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.07.2015
Subjects:	Acceleration Atmospheric measurements clustering Clustering algorithms Computational modeling e-learning hadoop distributed file system (HDFS) learning analytics parallel particle swarm optimization (PPSO) parallel processing Particle swarm optimization Program processors Writing
ISSN:	2161-3761
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!