ICT alone is not enough, the whole village is needed. A community-based and dialogic approach to technology in schools

The socio-cultural context shapes learning and development. Thus, schools cannot ignore neither the transformations shaping their surrounding societies, but be an active part of them, nor what those transformations mean for school learning. In this regard, technology has changed the way we think and learn, and learning has been shown to be deeply linked to the community of which we are part. However, benefits of involving the community in the ICT use in schools are barely explored in the literature; this article is aimed to shed some light on that aspect. We draw from a successful case, the Ariño school, and based on the dialogic learning theoretical framework, different strategies that promote a dialogic use of ICT are presented: community involvement in self-sufficient classrooms, community involvement outside the school settings, and community digital literacy. This analysis leads to the proposal of a community-based and dialogic approach to technology in schools.peer-reviewe

Social Impact of Psychological Research on Well-Being Shared in Social Media

The purpose of this article is to demonstrate how the Social Impact in Social Media (SISM, hereinafter) methodology applied in psychological research provides evidence for the visibility of the social impact of the research. This article helps researchers become aware of whether and how their improvements are capturing the interest of citizens and how citizens are applying such evidence and obtaining better outcomes, in this case, in relation to well-being. In addition, citizens can access the latest evidence on social media and act as channels of communication between science and social or personal networks and, in doing so, they can improve the living conditions of others. This methodology is also useful for agencies that support researchers in psychology with financial assistance, which can use it to evaluate the social impact of the funds that they invest in research. In this article, the 10 studies on well-being were selected for analysis using the following criteria: their research results led to demonstrable improvement in well-being, and these improvements are presented on social media. We applied the social impact coverage ratio to identify the percentage of the social impact shared in social media in relation to the total amount of social media data collected. Finally, examples of quantitative and qualitative evidence of the social impact of the research on well-being are presented