An academic system based on ontological networks to support the inference of new knowledge in micro and macro curriculum in higher education

Roberto García-Vélez, Jorge Galan-Mena, Vladmir Robles-Bykbaev, Martin López-Nores, Fernando Pesántes-Avilés, Daniel Calle-López

Producción científica: Capítulo del libro/informe/acta de congresoCapítulo

Resumen

The Institutions of Higher-Education (IHE) seek to answer to the new ways of understanding and projecting the higher-education materialized in a graduate’s profile. Before this challenge the educational models take principally the theoretical - practical references of the critical pedagogy, the constructivism and the collaborative learning. Though there exist several offers of administration of the knowledge, which have formalized the structure organizational of the academic institutions in ontologies, considering the actors (student-teacher), the evidences that the academic process produces and since they relate among yes. None divides and explicit the development that the actors of the ecosystem take across the time. Our offer is the construction of an ontological network academician, as instrument of support to the academic body and for centralization of the information. For which we realize a process of reengineering of institutional relevant documents, as the academic record of the students, in each of your facets of learning. In addition, we interview specialists in the area and re-use ontologies of academic domain, shaping this way a strong base of knowledge.

Idioma originalInglés estadounidense
Título de la publicación alojadaAn academic system based on ontological networks to support the inference of new knowledge in micro and macro curriculum in higher education
EditoresAleksandra Polak-Sopinska, Salman Nazir, Anna-Maria Teperi
Páginas316-328
Número de páginas13
ISBN (versión digital)9783319938813
DOI
EstadoPublicada - 1 ene. 2019
EventoAdvances in Intelligent Systems and Computing - , Alemania
Duración: 1 ene. 2015 → …

Serie de la publicación

NombreAdvances in Intelligent Systems and Computing
Volumen785
ISSN (versión impresa)2194-5357

Conferencia

ConferenciaAdvances in Intelligent Systems and Computing
País/TerritorioAlemania
Período1/01/15 → …

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