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001440989 001__ 1440989
001440989 003__ OCoLC
001440989 005__ 20230309004713.0
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001440989 019__ $$a1285770570$$a1285871019$$a1285887069$$a1285916257$$a1292518188$$a1294354036
001440989 020__ $$a9783030891664$$q(electronic bk.)
001440989 020__ $$a3030891666$$q(electronic bk.)
001440989 020__ $$z3030891658
001440989 020__ $$z9783030891657
001440989 0247_ $$a10.1007/978-3-030-89166-4$$2doi
001440989 035__ $$aSP(OCoLC)1285781403
001440989 040__ $$aEBLCP$$beng$$epn$$cEBLCP$$dYDX$$dGW5XE$$dOCLCF$$dDKU$$dOCLCO$$dDCT$$dOCLCQ$$dOCLCO$$dUKAHL$$dN$T$$dOCLCQ
001440989 049__ $$aISEA
001440989 050_4 $$aLB1028.73
001440989 08204 $$a371.33/44678$$223
001440989 1001_ $$aYassine, Sahar.
001440989 24510 $$aAnalysing users' interactions with Khan Academy repositories /$$cSahar Yassine, Seifedine Kadry, Miguel-Ángel Sicilia.
001440989 260__ $$aCham, Switzerland :$$bSpringer,$$c2021.
001440989 300__ $$a1 online resource (98 pages)
001440989 336__ $$atext$$btxt$$2rdacontent
001440989 337__ $$acomputer$$bc$$2rdamedia
001440989 338__ $$aonline resource$$bcr$$2rdacarrier
001440989 347__ $$atext file
001440989 347__ $$bPDF
001440989 504__ $$aIncludes bibliographical references.
001440989 5050_ $$a1. Introduction to Online Learning Repositories -- 2. Research Objectives -- 3. Literature Review -- 4. Methodology -- 5. Data acquisition -- 6. Assessing Online Learning Repository with Descriptive Statistical Analysis -- 7. Detecting Communities in Online Learning Repository -- 8. SNA Measures and Users Interactions -- 9. Conclusions -- 10. Future work.
001440989 506__ $$aAccess limited to authorized users.
001440989 520__ $$aThis book addresses the need to explore user interaction with online learning repositories and the detection of emergent communities of users. This is done through investigating and mining the Khan Academy repository; a free, open access, popular online learning repository addressing a wide content scope. It includes large numbers of different learning objects such as instructional videos, articles, and exercises. The authors conducted descriptive analysis to investigate the learning repository and its core features such as growth rate, popularity, and geographical distribution. The authors then analyzed this graph and explored the social network structure, studied two different community detection algorithms to identify the learning interactions communities emerged in Khan Academy then compared between their effectiveness. They then applied different SNA measures including modularity, density, clustering coefficients and different centrality measures to assess the users behavior patterns and their presence. By applying community detection techniques and social network analysis, the authors managed to identify learning communities in Khan Academys network. The size distribution of those communities found to follow the power-law distribution which is the case of many real-world networks. Despite the popularity of online learning repositories and their wide use, the structure of the emerged learning communities and their social networks remain largely unexplored. This book could be considered initial insights that may help researchers and educators in better understanding online learning repositories, the learning process inside those repositories, and learner behavior.
001440989 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed December 7, 2021).
001440989 61020 $$aKhan Academy.
001440989 650_0 $$aIntelligent tutoring systems.
001440989 650_0 $$aWeb-based instruction.
001440989 650_0 $$aInternet in education.
001440989 650_6 $$aTutoriels.
001440989 650_6 $$aInternet en éducation.
001440989 655_0 $$aElectronic books.
001440989 7001_ $$aKadry, Seifedine.
001440989 7001_ $$aSicilia, Miguel-Angel,$$d1973-
001440989 77608 $$iPrint version:$$aYassine, Sahar.$$tAnalysing Users' Interactions with Khan Academy Repositories.$$dCham : Springer International Publishing AG, ©2021$$z9783030891657
001440989 852__ $$bebk
001440989 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-89166-4$$zOnline Access$$91397441.1
001440989 909CO $$ooai:library.usi.edu:1440989$$pGLOBAL_SET
001440989 980__ $$aBIB
001440989 980__ $$aEBOOK
001440989 982__ $$aEbook
001440989 983__ $$aOnline
001440989 994__ $$a92$$bISE