This research focuses on applying Game Theory to teach the PERT scheduling method to civil engineering students. The work was carried out with students from the Construction Planning and Scheduling course, who were given face-to-face classes on Game Theory applied to teaching the PERT method. This proposal considers that gamification plays a role in user engagement, while Game Theory contributes to data analysis and decision strategies. It began with an initial pre-test evaluation consisting of questions classified by items and evaluation criteria to teach the PERT method using Game Theory, followed by a post-test and a quantitative evaluation that allowed to know the perception and interests of the students. Using Game Theory principles in teaching the PERT method demonstrated improvements in students. In addition, the results presented statistically significant differences in favor of using Game Theory, which would allow it to be proposed as a viable option for teaching PERT and other scheduling methods.

Organizational culture is vital for adopting Lean Construction (LC) methodologies in the construction industry. LC maximizes customer value by minimizing waste and optimizing processes. Implementing this philosophy necessitates a shift in values, attitudes, and behaviors. A culture promoting collaboration, innovation, and continuous improvement aids the acceptance of Lean principles, enhancing efficiency and sustainability. Effective leadership and employee engagement are essential to tackle barriers, like resistance to change and lack of strategic alignment. Organizational culture aligns individual and organizational goals, fostering open communication and continuous learning. This study shows how organizations amplify LC benefits by integrating its principles with a culture of adaptability, shared responsibility, and operational excellence, boosting productivity and positioning companies as leaders in a competitive and innovation-driven sector.

Since its inception in the early 1990s, Lean Construction (LC) has had a significant impact on the Architecture, Engineering, and Construction (AEC) industry. Under this philosophy, various methods have been developed to apply Lean practices in AEC. A fundamental first step is to begin with higher education institutions that train future construction professionals. Consequently, this research aimed to identify the main current and future trends in teaching LC. Additionally, it aimed to assess how such teaching aligns with the most commonly employed didactic techniques in AEC education. To achieve this objective, a survey was conducted among professors and practitioners from different parts of the world, revealing interesting findings, including the predominance of tools such as the Last Planner System in teaching LC, and that the Case Study approach as the most utilized in the classroom from a didactic view.

Despite the importance of adaptive reuse for urban renewal, municipal records of changes in property destinations remain an untapped resource for understanding regulatory barriers. This study develops an interpretable machine learning (ML) framework to screen historical administrative non-approval using 42,350 municipal records from a mid-sized city in southern Chile spanning 2010 to 2025. Historical memory features were constructed exclusively from outcomes available before each application, thereby preventing temporal leakage. Records from 2010–2022 were used for training, 2023 was reserved for validation, and 2024–2025 constituted a locked test set. A logistic regression model combining auditable risk flags derived from GIRO (declared economic or functional activity) with historical property, address, and activity category information was selected by maximizing the F1-score (the harmonic mean of precision and recall) subject to a recall ≥ 0.85. At the validation-selected threshold of 0.285, the model achieved a receiver operating characteristic area under the curve (ROC-AUC) of 0.778, a precision–recall area under the curve (PR-AUC) of 0.720, an F1-score of 0.719, recall of 0.887, and precision of 0.604. The model flagged 66.8% of applications for prioritized review. The proposed framework supports human-in-the-loop screening and institutional learning; it neither determines regulatory compliance nor automates municipal decisions.

Early-stage regulatory decisions play a critical role in the delivery of construction projects. However, regulatory processes are frequently characterized by fragmented information, limited transparency, and iterative rework, generating significant waste that contradicts Lean Construction principles. From a Lean perspective, regulatory …

El Diplomado en Gestión y Administración Sustentable de Agua Potable Rural (APR) es el primer programa de formación continua de nivel universitario orientado a fortalecer el liderazgo y la gestión técnica de los sistemas APR en Chile. El estudio se desarrolló mediante un enfoque metodológico principalmente cuantitativo, complementado con análisis cualitativo descriptivo, con el propósito de evaluar la autopercepción del desarrollo de competencias y los aprendizajes alcanzados por los participantes del diplomado. El programa se impartió mediante módulos sincrónicos en línea y contó con la participación de 98 dirigentes de comunidades rurales de la región del Biobío. Los datos analizados provienen de encuestas estructuradas aplicadas en cada módulo y de evaluaciones sumativas del proceso formativo, además de comentarios abiertos que permitieron contextualizar la experiencia de los participantes. El estudio diferencia explícitamente entre los objetivos formativos del diplomado y los objetivos investigativos del presente estudio, lo que facilita la comprensión del alcance de los resultados. Los análisis obtenidos permiten identificar niveles de satisfacción, pertinencia de los contenidos, calidad de la enseñanza y brechas formativas, aportando evidencia para la mejora continua del programa y para la generación de iniciativas educativas dirigidas a actores comunitarios en territorios rurales.