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We applied a true-experimental randomized control posttest design to collect and analyze quantitative and qualitative data to compare the effects of the AR and traditional board games on students’ SDG learning achievements.

We applied a true-experimental randomized control posttest design to collect and analyze quantitative and qualitative data to compare the effects of AR and traditional board games on students' SDG learning achievements.

Our analysis of the quantitative and qualitative data revealed that the effects of AR and traditional board games on the students' cognitive outcomes differed significantly, indicating the importance of providing a situated learning environment in SDG education. Moreover, the students perceived that the incorporation of the AR game into SDG learning improved their learning effectiveness – including both cognitive and affective dimensions – thus confirming its educational value and potential in SDG learning.

To the best of our knowledge, this is the first study to explore the effectiveness of different learning tools (AR and traditional board games) and to evaluate the importance of providing a situated learning environment through a true-experimental randomized control posttest design.

Metro stations have become a crucial aspect of urban rail transportation, integrating facilities, equipment and pedestrians. Impractical physical layout designs and pedestrian psychology impact the effectiveness of an evacuation during a metro fire. Prior research on emergency evacuation has overlooked the complexity of metro stations and failed to adequately consider the physical heterogeneity of stations and pedestrian psychology. Therefore, this study aims to develop a comprehensive evacuation optimization strategy for metro stations by applying the concept of design for safety (DFS) to an emergency evacuation. This approach offers novel insights into the management of complex systems in metro stations during emergencies.

Physical and social factors affecting evacuations are identified. Moreover, the social force model (SFM) is modified by combining the fire dynamics model (FDM) and considering pedestrians' impatience and panic psychology. Based on the Nanjing South Metro Station, a multiagent-based simulation (MABS) model is developed. Finally, based on DFS, optimization strategies for metro stations are suggested.

The most effective evacuation occurs when the width of the stairs is 3 meters and the transfer corridor is 14 meters. Additionally, a luggage disposal area should be set up. The exit strategy of the fewest evacuees is better than the nearest-exit strategy, and the staff in the metro station should guide pedestrians correctly.

Previous studies rarely consider metro stations as sociotechnical systems or apply DFS to proactively reduce evacuation risks. This study provides a new perspective on the evacuation framework of metro stations, which can guide the designers and managers of metro stations.

Organizations in today's changing environment face significant challenges, requiring continual innovation. Understanding oneself from the employee's perspective is paramount, especially in organizations and businesses, transforming all levels, accommodating new work paradigms and adapting to the post-pandemic business world. The authors examine the employees' critical dimensions, self-concept and resilience through self-reported studies to ascertain the impact on their performance in the organization. Self-concept, a multidimensional knowledge structure, implies the individual's description and examination, including psychological characteristics, attributes and skills. On the other hand, resilience is adapting appropriately to adversity, challenges and stressful situations and emerging unscathed. Resilience additionally leads to profound personal growth and acceptance of reality. It also endows the individual's sense of identity over time. It provides insights into work behavior and outcomes and fosters a positive psychological perspective to improve performance. Job performance is an observable individual performance that adds value and enables organizational goal achievement. To sum job performance is an achievement-related behavior. The research study examines the relationship between employee self-concept, resilience and performance elements (task, contextual and counterproductive work behavior).

Cross-sectional data were collected from 224 employees from the retail sector to test the hypotheses among self-concept, employee performance elements and resilience. SPSS 21.0 was used, and the authors conducted reliability, correlation and regression analysis using statistical tools to analyze the mediating effect.

Self-concept and employee performance elements have significant relationships. The mediating effect of resilience on the relationship between self-concept and counterproductive work behavior and self-concept and contextual performance is significant. In contrast, resilience does not impact the relationship between self-concept and task performance.

The authors examined a framework of untested variables, namely self-concept and the different factors of performance (task, contextual and counterproductive behavior). The authors investigated the mediating effect of resilience in the model, which was not previously explored.