Editorial Technologies for Data-Driven Interventions in Smart Learning Environments

Smart Learning environments (SLEs) are defined [1] as learning ecologies where students engage in activities, or teachers facilitate such activities with the support of tools and technology. SLEs can encompass physical virtual spaces which a system senses context process by collecting data, analyzes consequently reacts customized interventions that aim at improving [1]. In this way, may collect data about learners educators’ actions interactions related to their participation well different aspects formal informal they be carried out. Sources from these include management systems, handheld devices, computers, cameras, microphones, wearables, environmental sensors. These then transformed analyzed using computational visualization techniques obtain actionable information trigger wide range automatic, human-mediated, hybrid interventions, involve decision making behind interventions.