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...

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Vydáno v:	Proceedings (IEEE International Conference on Advanced Learning Technologies) s. 446 - 450
Hlavní autoři:	Govindarajan, Kannan, Boulanger, David, Seanosky, Jeremie, Bell, Jason, Pinnell, Colin, Kumar, Vivekanandan Suresh, Kinshuk, Somasundaram, Thamarai Selvi
Médium:	Konferenční příspěvek
Jazyk:	angličtina
Vydáno:	IEEE 01.07.2015
Témata:	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
On-line přístup:	Získat plný text
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