In this article, we conduct a systematic review to investigate how agent-based modeling (ABM) techniques have been applied for simulating systems-of-systems (SoS) domains. We understand that modeling and simulating SoS is a hard task and must be conducted by techniques (e.g., ABM) that represent the behavior of agents and the operation of an SoS to overpass this complexity. We evaluate the most utilized models, approaches, and tools. We also investigate how accurate are the SoS simulations performed by this technique and which are the most investigated problems. As a result, we identify which tools and approaches have been utilized to investigate the behavior of SoS.

Digital technologies have transformed how information is accessed and shared; however, individuals with disabilities continue to face significant barriers in engaging with educational content. The shift to electronic formats presents an opportunity to promote inclusion by integrating accessibility features. Accessible e-books are essential for fostering equitable participation in learning environments, supporting lifelong learning, and aligning with global sustainability goals such as SDG 4 (Quality Education) and SDG 10 (Reduced Inequalities). While international frameworks like the Web Content Accessibility Guidelines (WCAG) advocate for accessible publishing, significant gaps remain. This paper presents a Systematic Literature Review (SLR) aimed at examining the role of accessibility features in shaping the quality, usability, and affordability of e-books. Based on well-defined guidelines, we defined and executed an SLR protocol, identifying 1618 studies in seven different scientific databases. At the end of the review process, we selected 74 studies to answer four research questions related to the accessibility features employed by e-books and their reading platforms. By synthesizing existing evidence, this review highlights barriers, best practices, and strategic pathways to inform educators, publishers, and policymakers. Ultimately, this study advocates for the development of inclusive and sustainable digital content ecosystems that meet the diverse needs of all learners.

Currently, research centers, government, and industry have been developing technologies to enable novel capabilities for future classrooms. The Internet of Things (IoT), the Internet of Everything (IoE), and the Internet of Anything (IoA) are examples of technological paradigms that could transform current classrooms into collaborative classrooms. In this paper, we investigate the design and simulation of a systems architecture that employs concepts related to System of Systems and Internet of Anything to extend the capabilities of future classrooms. We design such architecture to be service-oriented and to provide interactions between each established constituent system (CS), which is composed by the following elements: (i) local IoE modules; (ii) CS negotiator Agent; and (iii) IoE / IoA agent. We consider a case study about inter-school collaborations to improve learning in biology classes. Our results indicate that the usage of the IoA network improves on 52.02% the performance of the IoE network, it improves the recommendation of services by establishing a high competition between CSs, and quadruplicates the number of connections in this SoS network. These results suggest that such approach is effective to increase the collaboration between devices, people, or schools with different objectives and policies.