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1、MiningIn-ClassSocialNetworksforLarge-ScalePedagogicalAnalysisXiao-YongWeiZhen-QunYangMachineIntelligenceLaboratoryMachineIntelligenceLaboratoryCollegeofComputerScienceCollegeofComputerScienceSichuanUniversitySichuanUniversity610065,Chengdu,China610065,Chengdu,Chinacswei@scu.edu.cnjessicayang@scu.e
2、du.cnABSTRACTpedagogicalstrategiesaccordingly.However,eventhepro-posaloftheideamaydatebackto1930s[1,6],mostoftheModelingthein-classstudentsocialnetworksisahighlyde-investigationsarestilllimitedinasmallscalewhichusuallysiredgoalineducationalliterature.However,duetothedif-includelessthan100students(
3、e.g.,25studentsin[5],11ficultytocollectsocialdata,mostoftheconventionalstud-studentsin[7]),duetothefactthatthetraditionalwayforiescanonlybeconductedinaqualitativewayonasmall-collectingsocialdatathroughquestionnairesandinterviewsscaleofdatasetobtainedthroughquestionnairesorinter-istime-consumingande
4、xpensive.Therapiddevelopmentviews.Weproposetosolvetheproblemsofdatacollection,ofonlinetechnologiesseemstobeanewopportunitytoad-socialnetworkconstructionandanalysiswithmultimediadressthisproblemforitspromisetocollecttheimmensetechnology,inthewaythatwecanautomaticallyrecognizesocialdatainanautomatic
5、manner.Inthisregard,onlinethepositionsandidentitiesofthestudentsinclassroomandsocialnetworkanalysishasledtotremendousemergingre-constructthein-classsocialnetworksaccordingly.Withthesearchesinvariousdisciplinessuchassociology,pedagogy,socialnetworksandthestatisticsonalarge-scaledataset,wepsychology
6、,andcomputerscience.havedemonstratedthatthepedagogicalanalysisforinves-Incontrastwiththeoverwhelminginterestamongprac-tigatingtheco-learningpatternsamongthestudentscanbetitioners,ascommentedbyBoyd&Ellison[8],themajor-conductedinaquantitativeway,whichprovidesthestatis-ityofexistingstudiesononlineso
7、cialnetworksstillremainticalcluesaboutwhypriorstudiesreachconflictingconclu-bothconceptualandempirical,withafewofthemhavingsionsontherelationbetweenthestudents’positionsinsocialexploredthelinkbetweensocialnetworks