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Self-regulation plays a crucial role in the overall well-being of students, including those with learning disabilities (LD) and social, emotional, and behavioral disorders (SEBD). Conceptually, digital learning offers great potential for supporting students with special educational needs (SEN) in learning and social-emotional development at inclusive schools and can effectively promote self-regulation processes. This systematic review aims to shed light on the potential of digital learning to promote the self-regulation of students with SEN in inclusive contexts. A systematic literature search was conducted on selected databases. Seven studies met the inclusion criteria and were analyzed regarding the empirical evidence, characteristics of digital learning methods, and factors influencing their effectiveness. The results showed that digital learning methods can foster improvements in academic outcomes, e.g., students’ persuasive writing skills, and in enhancing emotion regulation in students. The effectiveness of the digital learning methods depends mostly on their implementation by teachers.

In recent decades, much international research has been carried out on school climate and its relationship with learning, socioemotional, and health outcomes (Berkowitz et al., 2017; La Salle, Rocha-Neves, et al., 2021; Pizmony-Levy et al., 2019). Limited research has been carried out to investigate the relationship between school climate and educational inequalities, with particular reference to the results obtained by minoritized students. This contribution focuses on this issue, and it is organized as follows. First, The International School Climate Collaborative, which led to the cross-cultural adaptation of the Georgia School Climate Survey, is presented with normative data for the use of the survey with secondary school students in four countries: Germany, Italy, Latvia, and the United States (La Salle, Rocha-Neves, et al., 2021). Second, the theme of the relationship between School Climate and Educational Equity is focused on the basis of the most recent scientific literature. Third, the theme of the relationship between School Climate and Educational Equity is focused on comparing four countries: the United States, Germany, Italy, and Latvia. Fourth, the practical implications are investigated, focusing on three possible interventions that could be useful for improving the school climate while promoting equity and valuing cultural differences.

This study investigates 14 digitally enhanced learning methods, shedding light on students with special educational needs (SEN) in inclusive digital learning environments. We seek to fill the gap in the literature by specifically investigating methods suitable for students with SEN. A survey among experts has been carried out to assess learning methods that are effectively applicable in inclusive digital learning environments. A mixed method: quantitative and qualitative data analysis with the use of a constant comparative method has been applied to synthesise and compare experts' answers. Quantitative data analysis showed that cooperative learning, digital problem/project-based learning, and virtual exchange are the most suitable methods for all students, whereas digital problem/project-based learning, cooperative learning, and service-learning were agreed upon as the most appropriate for students with SEN. Answers to open questions, evaluated using a qualitative approach, showed that the effectiveness of digital approaches is heavily reliant on the skills, experience, willingness, confidence, and knowledge of teachers implementing them. Employing cooperative learning and digital problem/project-based learning, particularly by experienced and highly skilled teachers, has the potential to effectively support all students, including those with SEN, in digital learning environments.

The present study investigated the use of a tablet computer to assess figure-tracing skills and their relationships with psychological (visual–perceptual processes, cognitive processes, handwriting skills) and physiological (body mass index, isometric strength of arms) parameters with school-children of second (7-8-year-olds) and fourth (9-10-year-olds) grades. We were also interested in gender differences. The task required tracing of geometric figures on a template, shown on a tablet screen in light grey, for the segments that make up the target figure, one at a time. This figure-tracing tablet test allows acquisition and automated analysis of four parameters: number of strokes (pen lift) for each segment; oscillations of lines drawn with respect to reference lines; pressure of pen on tablet; and average speed of tracing. The results show a trade-off between speed and quality for the tablet parameters, with higher speed associated with more oscillations with respect to the reference lines, and lower number of strokes for each segment, in both male and female children. The involvement of visual–motor integration on the ability to reduce the oscillations in this tablet test was only seen for the male children, while both the male and female children showed a relationship between oscillations and more general/ abstract visual–spatial processes. These data confirm the role of visual–motor processes in this figure-tracing tablet test only for male children, while more general visual–spatial processes influence the performance in the tablet test for both sexes. We conclude that the test proposed is useful to screen for grapho-motor difficulties.