El texto expone un esquema del pensamiento crítico (PC) y metacognición (MC); inicia esbozando conceptos de estos dos aspectos y la poca claridad que existe al desarrollarlos. El objetivo del documento es contribuir a clarificar la interacción conceptual del PC y la MC a través de una revisión bibliográfica de artículos científicos. Con este fin se estudió el marco para el desarrollo de habilidades metacognitivas (HM) y el modelo integrado del pensamiento crítico. Los autores concluyen que el PC es un proceso metacognitivo que facilita al individuo la interpretación de la información cognitiva y que el adecuado desarrollo del PC requiere de HM

The construction of ontologies from texts in Spanish is a challenge since this language lacks conceptual databases to validate abstract ontology structures as concepts and relations between them. The preceding generates the necessity of using manual evaluation by human experts; carrying high expenses that limit the calibration of algorithm parameters and large-scale evaluations. This document presents a proposal to evaluate abstract ontology structures through the task of semantic clustering of documents, without the expensive necessity of using manual evaluation or conceptual databases. The proposal is not only affordable but also applicable to model data and domains that lack structured knowledge resources. The experiments lead to the extraction and validation of the ontology structures from texts in Spanish regarding the domain of the Colombian armed conflict.

Impulsivity is a common trait of various mental disorders having a high worldwide prevalence in childhood and adolescence, such as ADHD and conduct disorders. We propose the ImpulsivityBank protocol, a standardized discourse protocol and a battery of linguistic assessments. Our research aims to provide standardized procedures for retrieving speech samples that enable the determination of the speech features related to impulsivity trait in children and adolescents. We also report on the Impulsivity corpus, a new corpus that consists of speech samples collected using our protocol. Our protocol and corpus are resources that facilitate the investigation of speech in relation to impulsivity trait in children and adolescents. Our protocol is different from current studies because we use different elicitation methods (recall task, storyboard, and picture description) in the same participants to recollect diverse speech samples. Thus, we incorporated traditional elicitation methods that are present in similar studies and existing clinical language banks, in order to promote comparisons between our findings and other research.

This article aims to propose a unifying conceptualization for the leadership domain utilizing ontology engineering to address conceptual ambiguity and information overlap. The approach involves identifying and defining structural, common, and underlying elements to organize leadership information. The methodology is based on a literature review guided by principles of ontology engineering. It focuses on collecting, analyzing, disambiguating, and synthesizing information to represent general elements in the leadership domain as categories, subcategories, and instances, including their relationships. The result is a unifying conceptualization comprising defined categories, subcategories, general instances, and relationships. This structure creates a taxonomic framework to organize the leadership’s domain information, classifying approaches, theories, models, styles, variables, characteristics, and organizational results. Expert validation confirms their suitability to represent the leadership domain in a general manner. Researchers can use it to understand and compare information, identify conceptual similarities and differences, and support knowledge dissemination within the leadership domain, reducing ambiguity and overlap.

En el marco del proyecto “IMFN Climate FY2023/24 Risaralda Model Forest - UTP”, financiado por el Gobierno de Canadá, uno de los objetivos fue: “Rehabilitación, con comunidades y grupos campesinos, de paisajes degradados, en seis municipios del bosque modelo Risaralda, fortaleciendo la producción sostenible y la conservación de la biodiversidad” y dentro de este una tarea fue actualizar la plataforma RESTAURed, una plataforma electrónica de cooperación entre Países de la Red Latinoamericana de Bosques Modelo (RLABM), con la finalidad de plantear una propuesta a futuro para el análisis de la información, derivada de la restauración de paisajes, capturada por el Bosque Modelo Risaralda (Colombia), el Bosque Modelo Chiquitano (Bolivia) y el Bosque Modelo Reventazón (Costa Rica). Se realizó la construcción de modelos basados en analítica de datos que soporten la identificación, análisis, actualización y/o implementación de estrategias de restauración en paisajes degradados.SDM -Species Distribution Models-, escencialmente modelos de predicción de distribución geográfica. Se utilizo un “proxy” basados en la especie “Crithmum maritimum”, se clasificaron los datos y el sistema de clasificación fue calibrado y evaluado considerando la métrica F1-score, se evaluaron 12 algoritmos, estos fueron comparados siguiendo una estrategia de validación cruzada estratificada con 30 folds. La curva de calibración indicó que dos de los algoritmos eran fuertes predictores, con coeficientes de variación mínimos. Todos los escenarios experimentales fueron desarrollados en el entorno Google Colab haciendo uso del lenguaje Python 3.10.

Impulsivity is a common trait and is understood as a symptom of various disorders such as Attention-Deficit/Hyperactivity Disorder (ADHD). We previously proposed ImpulsivityBank protocol, which is a standardized discourse protocol for retrieving speech samples that enables the identification of the speech features related to the impulsivity trait in children and adolescents. ImpulsivityBank protocol presents three elicitation methods (recall task, storyboard, picture description) and quantifies general language abilities using a battery of linguistic assessments. In this paper, we analyze the current data from the Impulsivity corpus, which is a corpus that consists of speech samples collected using our protocol. We performed an automated linguistic-feature analysis of the Impulsivity corpus to examine speech features related to the impulsivity trait in children and adolescents. We present the results of both the classification and prediction systems considering diverse experimental scenarios. Our results indicate that the speech features from the storyboard consistently yielded the best-performing classification and prediction systems among the evaluated elicitation methods. We conclude that ImpulsivityBank protocol facilitates the collection of speech samples from which a range of linguistic features can be extracted and explored in relation to the impulsivity trait in children and adolescents. The consistency observed across the classification and prediction models suggests that multiple speech features jointly contributed to the fitted models’ outputs. Our main contribution lies in speech analysis, particularly in the extraction and study of speech features that may be associated with impulsivity.