Knowledge Graph to determine the domain of learning in Higher Education
| Audiencia | Público en general | es_ES |
| Cobertura | México | es_ES |
| Fecha de ingreso | 2026-09-15T00:32:16Z | |
| Fecha de publicación | 2021-03-26 | |
| Resumen | The representing of a student’s knowledge in an academic discipline plays an important role in boosting the student’s skills. To support stakeholders in the educational domain, it is necessary to provide them with robust assessment strategies that facilitate the teaching-learning process. Student´s mastery is determined by the degree of knowledge, which demonstrates objectively, on the topics included in the different areas that make up an academic discipline. Although there is a wide variety of techniques to represent knowledge, particularly Knowledge Graph technique is becoming relevant due to the structured approach and benefits it offers. This paper proposes a method that classifies and weights the nodes (topics) of a Knowledge Graph of a disciplinary area, which is analyzed through a case study. The method has two approaches: avoid exhaustive evaluation of the nodes and weight the nodes with adequate precision. Method´s application is illustrated by a case study. As results, a Knowledge Graph is obtained with its classified and weighted nodes through the application of the proposed method, in which 100% of the topics have been impacted through the objective evaluation of 20.8% representing 10 nodes. It is concluded that the proposed method has potential to be used in the representation and management of knowledge, being necessary to improve phases’ iteration to condition number of objective nodes. | es_ES |
| Doi | https://doi.org/10.32870/ap.v13n1.1937 | es_ES |
| URI | https://riuat.uat.edu.mx/handle/123456789/3739 | |
| Idioma | en | es_ES |
| Editorial | University of Guadalajara | es_ES |
| Relación | Apertura | es_ES |
| URL relacionado | https://doi.org/10.32870/ap.v13n1.1937 | es_ES |
| Derechos | Acceso abierto (Metadatos de producción científica) | es_ES |
| Licencia | http://purl.org/coar/access_right/c_abf2 | es_ES |
| Fuente | Apertura | |
| Palabra clave | Computer science | es_ES |
| Palabra clave | Graph | es_ES |
| Palabra clave | Domain knowledge | es_ES |
| Palabra clave | Boosting (machine learning) | es_ES |
| Palabra clave | Discipline | es_ES |
| Palabra clave | Knowledge management | es_ES |
| Palabra clave | Machine learning | es_ES |
| Palabra clave | Theoretical computer science | es_ES |
| Clasificación | E-Learning and Knowledge Management | es_ES |
| Título | Knowledge Graph to determine the domain of learning in Higher Education | es_ES |
| Tipo | Artículo | es_ES |
| Arbitrado | Ha sido Arbitrado | es_ES |
| Autor | México, Universidad Politécnica de Victoria, | |
| Autor | Almazán, Jorge Arturo Hernández | |
| Autor | Lumbreras-Vega, Juan Diego | |
| Autor | Amaya, Arturo Amaya | |
| Autor | Machucho-Cadena, Rubén | |
| Autor | México, Universidad Politécnica de Victoria, | es_ES |
| Autor | Almazán, Jorge Arturo Hernández | es_ES |
| Autor | Lumbreras-Vega, Juan Diego | es_ES |
| Autor | Amaya, Arturo Amaya | es_ES |
| Autor | Machucho-Cadena, Rubén | es_ES |
| Institución | Universidad Autónoma de Tamaulipas | |
| Institución | Universidad Autónoma de Tamaulipas | es_ES |
| Número | 1 | es_ES |
| Rango de páginas | 118-133 | es_ES |
| URL relacionada | https://doi.org/10.32870/ap.v13n1.1937 | |
| Tipo de artículo | Indexado | |
| Tipo de artículo | Indexado | es_ES |
| Volumen | 13 | es_ES |
