In an era marked by swift technological advancements and an escalating emphasis on collaborative learning, understanding effective methods and technologies for sharing knowledge is imperative to optimize educational outcomes. This study delves into the varied methods and technologies applied to facilitate and support knowledge sharing within learning communities. To achieve this, a systematic literature review was conducted, systematically collecting and scrutinizing pertinent literature. Employing automated searches, title-based selection, and reputation-based filters ensured the inclusion of high-quality studies. The chosen studies underwent a meticulous evaluation, considering factors like relevance, methodological robustness, and currency. The literature review unveiled a diverse array of methods and technologies employed in learning communities to facilitate effective knowledge sharing. The outcomes of this study offer a comprehensive snapshot of the existing literature, underscoring the significance of methods and technologies in supporting knowledge sharing within learning communities. By comprehending the strengths, challenges, and potential future trajectories, educators, researchers, and policymakers can make informed decisions to enhance the efficacy of knowledge sharing within learning communities.

This systematic review underscores the significance of learning communities as fertile grounds for skill development across diverse contexts. Furthermore, it reviews and theoretically evaluates several commonly used strategies, methods, and supports for developing skills within learning communities by synthesizing the existing literature. We followed the procedure outlined by the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) to ensure a transparent, comprehensive, and standardized approach to conducting and reporting our systematic review, thereby enhancing the review’s credibility and reproducibility. Through an extensive analysis of the literature, we identified eleven strategies, methods, and supports (application of collaborative projects, mentorship programs, workshops and training sessions, online learning platforms, peer learning and feedback, problem-based learning, cross-collaboration initiatives, leadership development programs, inclusive learning environments, gamification and simulations, and social media and networking) that play pivotal roles in nurturing different types of skills. We describe each identified solution, its advantages and challenges, the types of skills targeted for development, and their overall contribution to skill enhancement. The findings emphasize the importance of fostering collaborative and interactive environments within learning communities to facilitate collective skill development and personal growth. Our systematic review faced some challenges (e.g., heterogeneity of studies and lack of longitudinal data) due to the overwhelming diversity of the literature on skill development across various disciplines and contexts. Overall, by synthesizing existing knowledge and identifying gaps in the literature, this review serves as a foundation for advancing theory, informing practice, and promoting continual improvement in skill development within learning communities.

This paper focuses on the optimization of a winged UAV airframe utilizing a preliminary configuration and the combination of the Taguchi experimental design method and the evolutionary genetic optimization algorithm, along with computational fluid dynamics. Simulations were carried out based on the Reynolds‐averaged Navier–Stokes (RANS) equations and SST k‐ω turbulence model and the large eddy simulation (LES) for a speed of 50 m/s and a Reynolds number of 1.6 million. Optimization was conducted for six variables in a single stage, with 25 tests performed. The tested case is a winged UAV with a Lambda‐shaped airframe design named SACCON, featuring wings with a tilt angle of 53°. The objective function in this study is the ratio of lift to drag specified. A genetic algorithm is used in conjunction with an initial configuration to create a new aircraft. Ultimately, the newly designed airframe demonstrates a 14% improvement in aerodynamic efficiency compared to the default state, and the lift‐to‐drag ratio increases by 55%, successfully concluding the optimization process.