With the disruption of information and communication technologies (ICT), smart cities provide the alternative for electronic governance, adding the active participation of urban residents, which requires the construction of a social weaving (SW) immerse in the lifelong acquisition of citizen and digital competencies. Within this context, a competent SW model is proposed, based on the binary logistic regression analysis performed through the statistical software platform for social sciences SPSS, and a set of data taken from a population sample of boys and girls with cognitive impairment at a foundation in Bucaramanga (Santander-Colombia). As a result, from the theoretical and statistical standpoints, it was concluded that, through an equation, the model makes it possible to predict the probability for an individual to be part of a competent SW, after taking part in an educational project adapted to contents and didactic sequences applied in the classroom, according to adjusted Colombian educational parameters, to facilitate the learning process of cognitively impaired people.

随着信息和通信技术（ICT）的中断，智慧城市提供了电子治理的替代方案，增加了城市居民的积极参与，这需要构建一种社会编织（SW）来沉浸于终身获取公民和数字能力的过程中。在此背景下，基于通过社会科学SPSS统计软件平台执行的二元logistic回归分析，并从一个基金会的基础上，从患有认知障碍的男孩和女孩的人口样本中获取的一组数据，提出了一个称职的软件模型。布卡拉曼加（桑坦德哥伦比亚）。结果，从理论和统计的角度得出的结论是，通过方程式，该模型可以预测个人成为胜任的西南部地区的可能性，