Collective Learning and Construction of Knowledge in X as EVA

Abstract

We are immersed in a society where connections between different knowledge nodes generate flows that can facilitate learning and the collective construction of knowledge. Social networks are a privileged space to achieve this. Still, this achievement is not only based on interaction: certain premises are necessary, and barriers must be overcome to facilitate the process. A study has been conducted on the implementation of training on Cooperative Learning using exclusively X (formerly Twitter) as a Virtual Learning Environment (VLE). The methodology employed in this research combines quantitative and qualitative approaches. The former is through questionnaires, highly structured observation, and sociometry, and the latter through structured interviews. The results indicate that people highly value the possibilities of social networks for learning and the collective construction of knowledge. However, certain difficulties are evident that should be overcome for these objectives to be achieved: tension due to public exposure; difficulty in carrying out genuine cognitive conflict by the participants; and the habit of conducting linear training with conventional feedback, rather than peer-to-peer. Increased interactions will contribute to the achievement of certain proposed tasks. Still, in this research, it is evident that the improvement of the sense of collective construction of knowledge is more closely linked to the type of task proposed. Sharing experiences and increasing interactions do contribute to greater personal enrichment.