63318 20190709135506.0 doi 10.3390/app7111126 sideral 102110 ART-2017-102110 eng (orcid)0000-0002-2726-6760 García-Magariño, Iván Universidad de Zaragoza ABS-SOCI: An Agent-Based Simulator of Student Sociograms 2017 Access copy available to the general public Unrestricted Sociograms can represent the social relations between students. Some kinds of sociograms are more suitable than others for achieving a high academic performance of students. However, for now, at the beginning of an educative period, it is not possible to know for sure how the sociogram of a group of students will be or evolve during a semester or an academic year. In this context, the current approach presents an Agent-Based Simulator (ABS) that predicts the sociogram of a group of students taking into consideration their psychological profiles, by evolving an initial sociogram through time. This simulator is referred to as ABS-SOCI (ABS for SOCIograms). For instance, this can be useful for organizing class groups for some subjects of engineering grades, anticipating additional learning assistance or testing some teaching strategies. As experimentation, ABS-SOCI has been executed 100 times for each one of four real scenarios. The results show that ABS-SOCI produces sociograms similar to the real ones considering certain sociometrics. This similarity has been corroborated by statistical binomial tests that check whether there are significant differences between the simulations and the real cases. This experimentation also includes cross-validation and an analysis of sensitivity. ABS-SOCI is free and open-source to (1) ensure the reproducibility of the experiments; (2) to allow practitioners to run simulations; and (3) to allow developers to adapt the simulator for different environments. info:eu-repo/grantAgreement/ES/DGA/T81 info:eu-repo/grantAgreement/ES/MEC/CAS17-00005 info:eu-repo/grantAgreement/ES/MEC/OAPEE-2013-1-CZ1-GRU06-14277 info:eu-repo/grantAgreement/ES/MINECO/TIN2014-57028-R info:eu-repo/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ 1.689 2017 MATERIALS SCIENCE, MULTIDISCIPLINARY 170 / 285 = 0.596 2017 Q3 T2 CHEMISTRY, MULTIDISCIPLINARY 98 / 171 = 0.573 2017 Q3 T2 PHYSICS, APPLIED 77 / 146 = 0.527 2017 Q3 T2 0.303 2017 Fluid Flow and Transfer Processes 2017 Q2 Engineering (miscellaneous) 2017 Q2 Process Chemistry and Technology 2017 Q3 Instrumentation 2017 Q3 Materials Science (miscellaneous) 2017 Q3 Computer Science Applications 2017 Q3 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion (orcid)0000-0003-3492-7544 Lombas, Andrés S. Universidad de Zaragoza (orcid)0000-0001-7550-6688 Plaza, Inmaculada Universidad de Zaragoza (orcid)0000-0001-7671-7540 Medrano, Carlos Universidad de Zaragoza 4009 620 Universidad de Zaragoza Dpto. Psicología y Sociología Área Metod.Ciencias Comportam. 5008 785 Universidad de Zaragoza Dpto. Ingeniería Electrón.Com. Área Tecnología Electrónica 5007 570 Universidad de Zaragoza Dpto. Informát.Ingenie.Sistms. Área Lenguajes y Sistemas Inf. 7, 11 (2017), 1126 Appl. sci. Applied Sciences (Switzerland) 2076-3417 621458 http://zaguan.unizar.es/record/63318/files/texto_completo.pdf Versión publicada 105216 http://zaguan.unizar.es/record/63318/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:63318 articulos driver 2019-07-09-11:48:39 ARTICLE