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Applying Lessons Learnt from Massively Multiplayer Online Games (MMOGs) to Massive Open Online Courses (MOOCs)

contributor authorVoulgari, I. , Sampson, D.G.
date accessioned2020-03-12T23:36:30Z
date available2020-03-12T23:36:30Z
date issued2014
identifier other6901384.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1117744?show=full
formatgeneral
languageEnglish
publisherIEEE
titleApplying Lessons Learnt from Massively Multiplayer Online Games (MMOGs) to Massive Open Online Courses (MOOCs)
typeConference Paper
contenttypeMetadata Only
identifier padid8287537
subject keywordsPI control
subject keywordsadaptive control
subject keywordsautoregressive moving average processes
subject keywordscontrol system synthesis
subject keywordsiterative methods
subject keywordslearning systems
subject keywordsminimum entropy methods
subject keywordsnetworked control systems
subject keywordsnonlinear control systems
subject keywordsprobability
subject keywordsrandom processes
subject keywordsNCS
subject keywordsPI controller design
subject keywordsbatch tracking
subject keywordscontrol system output probability density function
subject keywordsiterative learning control
subject keywordsminimum entropy control algorithm
subject keywordsnetwork control system
subject keywordsnonlinear ARMAX model
subject keywordsrandom system
subject keywordstracking error probability density f
identifier doi10.1109/SOLI.2014.6960752
journal titledvanced Learning Technologies (ICALT), 2014 IEEE 14th International Conference on
filesize124663
citations0


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