Training pre-service teachers to deal with cyberbullying: Collective intelligence as a mode of learning

Collective intelligence is a theoretical construct that focuses on results stemming from a workgroup dealing with complex tasks. Our goal was to determine whether a group of pre-service teachers presented with a case of adolescent cyberbullying could improve their capacity for action. The experiment was carried out with 221 pre-service teachers at the University of Zaragoza, Spain, and using Collective Learning. The cyberbullying case we presented could be resolved via a series of questions in successive phases. Results showed an increase in learning throughout all phases, with a remarkable difference between the average score of the first phase and the last one. By the end of the experiment, the answers which had been most highly valued by the total set of participants turned out to be of considerable quality. We discuss the potential of collective intelligence as a tool for innovating and improving teaching-learning processes in university training. •Collective Learning online tool generate learning trough collective intelligence.•Using this tool, preservice teachers worked to face cyberbullying in seven phases.•The quality of the answers improved trough the seven phases.•Random and direct effect size obtained comparing the seven phases were significant.•The results show a broad improvement in the participants' skills.