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In this chapter, we develop a conceptual framework on how cultural value can be lost in conflict and created by the arts, artists and arts organisations again and how the arts may also help victims of conflict. We explore examples of the different ways that the effects of cultural engagement are manifested and articulated in the depiction of armed conflict, especially looking at the civil war in Syria (2011–present as of 2020) and discuss three stages in the life-cycle of cultural value. Our conceptual framework of cultural value in the depiction of armed conflict is based on the multifaceted private, public, intrinsic and instrumental benefits of the arts as well as the cultural value created by arts, artists and arts organisations. We discuss universal value at the first stage of a potential loss of cultural value. The second stage addresses the politics of aesthetic value, as the cultural value created by artists and artistic activities which may evolve during armed conflict with examples of two international war artists, John Keane and Ben Quilty. Finally, we review social value as the impact of the cultural value created in overcoming armed conflict as well as restoring and transforming impaired individuals, communities and societies. Within this context, we reinforce the notion of cultural value as an alternative framework for understanding the value constructs surrounding the creation of art in this chapter.

In this study, we aimed at examining the unique and interactive effects of peer violence in cyberspace on adolescents’ emotion regulation and socioemotional adjustment, as well as the mediational role of resilience in the link between adolescent’s pathogenic relational experiences and behavioral outcomes. Specifically, we intended to explore emotion differentiation and regulation in reaction to bullying perpetration and victimization and in terms of positive (proud, confident, good) and negative (ashamed, excited, guilty), Passive (sad, embarrassed, humiliated) and Reactive (angry, scared) emotions and how it impacted and predicted positive and negative outcomes.

A stratified convenient sample of 494 Italian students aged 13–19 years (M = 15.27, SD = 1.23) was selected to represent all different school types in Italy and the students were administered a self-report questionnaire on school bullying involvement. General Linear Models, ANOVA, and T-tests were employed to explore gender differences, the relationships between variables, and their contribution to the predictive model. A two-step Cluster analysis was used to profile adolescents based on patterns of resilience, health outcomes, and cyberbullying involvement.

Results showed significant gender differences, with females using internet and Facebook more than males and being more resilient, positive, and prosocial, but also responding to victimization with higher levels of alienation, anger, humiliation, and psychosomatic and emotional symptoms. Males perpetrated peer violence more than females, were less likely to be victimized, and were generally less emotionally impacted by it. Victimization rates (63.7%, n = 296) were higher than perpetration rates (51.7%, n = 233) and bully-victimization was prevalent (47.1%). Victims prevalently experienced passive emotions (sadness, humiliation, embarrassment) while perpetrators experienced negative ones (guilt and shame). Cluster analysis evidenced different pathways and trajectories of resilience and cyberbullying involvement: Resilient victims (RV), Healthy uninvolved (HU), Healthy Bullies (HB), Alienated Bully-Victims (ABV), and Resilient Bully-Victims (RBV). RV, HU, and HB resulted all well-adjusted, despite the different involvement in cyberbullying, and also RBV and despite the double involvement in cyberbullying, ABV were the only maladjusted and at-risk group in our sample characterized by very low Positivity, very low Resilience, and extremely high Alienation.

This study proposes a comprehensive, developmental, ecological, relational, and self-regulatory resilience approach to cyberbullying, which represents an innovative and advanced contribution to the literature with significant implication for research and practice. Fully understanding and measuring the emotional impact of cyber peer violence and resilience following cyberbullying victimization and perpetration can help in developing targeted interventions for both victims and bullies. This study highlighted the need for a self-regulatory model of resilience for modulating emotions, arousal, and behaviors across contexts, relationships, and difficulties. It also evidenced that moderate levels of resilience and positivity are sufficient to buffer youth from involvement in cyberbullying and to predict healthy adjustment and less pathological outcomes.

By profiling adolescents based on resilience levels, health outcomes, and cyberbullying involvement, we evidenced five distinct trajectories of risk evaluation for cyberbullying beyond participating roles. Our results confirmed the fundamental importance of assessing resilience and emotion regulatory resources together with peer violence involvement in identifying and targeting adolescents at risk.

Almost every detail of our lives – where we go, what we do, and with whom – is captured as digital data. Technological advancements in cloud computing, artificial intelligence, and data analytics offer the education sector new ways not only to improve policy and processes but also to personalize learning and teaching practice. However, these changes raise fundamental questions around who owns the data, how it might be used, and the consequences of use. The application of Big Data in education can be directed toward a wide range of stakeholders, such as educators, students, policy-makers, institutions, or researchers. It may also have different objectives, such as monitoring, student support, prediction, assessment, feedback, and personalization. This chapter presents the nuances and recent research trends spurred by technological advancements that have influenced the education sector and highlights the need to look beyond the technical boundaries using a socio-semiotic lens. With the explosion of available information and digital technologies pervading cultural, social, political as well as economic spaces, being a lifelong learner is pivotal for success. However, technology on its own is not sufficient to drive this change. For technology to be successful, it should complement individual learning cultures and education systems. This chapter is broadly divided into two main sections. In the first section, we contemplate a vision for the future, which is deemed possible based on ongoing digital and computing advancements. The second section elaborates the technological, pedagogical, cultural, and political requirements to attain that vision.

Traumatic brain injury (TBI) can significantly affect academic performance in a wide range of areas including, working memory, language processing, attention, and internalizing and externalizing behaviors. This chapter will discuss characteristics associated with TBI, and provide a series of high- and low-tech strategies teachers can implement in their classrooms to help students who have experienced brain trauma to succeed through academic challenges. In addition, the benefits and weaknesses of certain technologies used by students with TBI in school and at home will be discussed.