000119850 001__ 119850
000119850 005__ 20240319081011.0
000119850 0247_ $$2doi$$a10.1016/j.compedu.2022.104594
000119850 0248_ $$2sideral$$a130810
000119850 037__ $$aART-2022-130810
000119850 041__ $$aeng
000119850 100__ $$0(orcid)0000-0001-6708-4956$$aBautista, Pablo$$uUniversidad de Zaragoza
000119850 245__ $$aImproving adolescent moral reasoning versus cyberbullying: An online big group experiment by means of collective intelligence
000119850 260__ $$c2022
000119850 5060_ $$aAccess copy available to the general public$$fUnrestricted
000119850 5203_ $$aCollective Intelligence (CI) is identified as the group capacity to come up with responses to complex tasks that are not accomplished or are of worse quality if performed cooperatively or individually. Based on this premise, we considered knowing if adolescents’ moral reasoning would increase when a big group faces a topical moral dilemma: a sexting-centered cyberbullying case. To do so, the CI platform Thinkhub was used with an online group of 793 simultaneously connected year-1 Higher Secondary Education students. This platform contemplates an initial individual work phase, and another dynamic work group phase in which responses gradually appear. The system finally presents the most valued responses to the participants. The obtained results revealed a significant rise in the individual moral development levels that emerged during the interaction process when the participants engaged in one of the three posed questions, for which the response rate was also higher. The promising potential of the CI generated during online interaction processes followed to solve complex tasks, their weak points and future research in this field, are discussed.
000119850 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000119850 590__ $$a12.0$$b2022
000119850 592__ $$a3.682$$b2022
000119850 591__ $$aEDUCATION & EDUCATIONAL RESEARCH$$b1 / 269 = 0.004$$c2022$$dQ1$$eT1
000119850 591__ $$aCOMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS$$b4 / 110 = 0.036$$c2022$$dQ1$$eT1
000119850 593__ $$aComputer Science (miscellaneous)$$c2022$$dQ1
000119850 593__ $$aEducation$$c2022$$dQ1
000119850 593__ $$aE-learning$$c2022$$dQ1
000119850 594__ $$a23.8$$b2022
000119850 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000119850 700__ $$0(orcid)0000-0001-8422-9213$$aCano-Escoriaza, Jacobo$$uUniversidad de Zaragoza
000119850 700__ $$0(orcid)0000-0003-0394-5205$$aVicente Sánchez, Eva$$uUniversidad de Zaragoza
000119850 700__ $$0(orcid)0000-0003-2515-9029$$aCebollero-Salinas, Ana$$uUniversidad de Zaragoza
000119850 700__ $$0(orcid)0000-0001-6492-2248$$aOrejudo, Santos$$uUniversidad de Zaragoza
000119850 7102_ $$14001$$2215$$aUniversidad de Zaragoza$$bDpto. Ciencias de la Educación$$cÁrea Didáctica y Organiz. Esc.
000119850 7102_ $$14009$$2735$$aUniversidad de Zaragoza$$bDpto. Psicología y Sociología$$cÁrea Psicolog.Evolut.Educac
000119850 773__ $$g189 (2022), 104594 [12 pp.]$$pComput. educ.$$tComputers and Education$$x0360-1315
000119850 8564_ $$s621121$$uhttps://zaguan.unizar.es/record/119850/files/texto_completo.pdf$$yVersión publicada
000119850 8564_ $$s1845845$$uhttps://zaguan.unizar.es/record/119850/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000119850 909CO $$ooai:zaguan.unizar.es:119850$$particulos$$pdriver
000119850 951__ $$a2024-03-18-15:11:16
000119850 980__ $$aARTICLE