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https://hdl.handle.net/20.500.12394/7828| Titre: | Higher Education Challenge Characterization to Implement Automated Essay Scoring Model for Universities with a Current Traditional Learning Evaluation System |
| Autre(s) titre(s): | Caracterización del desafío de educación superior para implementar un modelo de puntuación de ensayos automatizado para universidades con un sistema de evaluación de aprendizaje tradicional actual |
| Auteur(s): | Machicao, J.C. |
| Mots-clés: | Herramientas de inteligencia artificial Puntuación de ensayo automatizada |
| Editeur: | Universidad Continental |
| Date de publication: | 29-jui-2019 |
| metadata.dc.date.available: | 17-jui-2020 |
| metadata.dc.date.created: | 2020 |
| Référence bibliographique: | Machicao,, J. (2019). Higher Education Challenge Characterization to Implement Automated Essay Scoring Model for Universities with a Current Traditional Learning Evaluation System. Advances in Intelligent Systems and Computing, 1(1), 835-844. https://doi. 10.1007/978-3-030-11890-7_78 |
| metadata.dc.identifier.doi: | 10.1007/978-3-030-11890-7_78 |
| Résumé: | Higher education is currently challenged to respond to a massive interest in learning with a current model that shows increasing evidence of too much cost, effort and decreasing efficacy of the operational learning process. Artificial intelligence has gained presence as a solution, but the integration process is already reporting problems and will not be implemented easily, in particular for universities with low degree of automation integrated to their systems. Universities need to quickly adapt and develop organizational and individual competencies, and clarity about the elements for new learning evaluation systems. This work contributes to propose a model to help universities to define these new systems making the most of artificial intelligence tools for academic essays scoring. |
| metadata.dc.description.note: | Para acceder al artículo de su interés, puede solicitarlo a bibliotecario@continental.edu.pe. Por favor comunicarse desde su correo institucional. |
| metadata.dc.relation: | https://rd.springer.com/chapter/10.1007/978-3-030-11890-7_78 |
| Extension: | p. 835-844 |
| metadata.dc.rights.accessRights: | Restringido |
| metadata.dc.source: | Universidad Continental Repositorio Institucional - Continental |
| Collection(s) : | Artículos de conferencias |
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