Higher Education Challenge Characterization to Implement Automated Essay Scoring Model for Universities with a Current Traditional Learning Evaluation System

José Carlos Machicao

doi:10.1007/978-3-030-11890-7_78

Higher Education Challenge Characterization to Implement Automated Essay Scoring Model for Universities with a Current Traditional Learning Evaluation System

José Carlos Machicao

Producción científica: Libro o Capítulo del libro › Contribución a la conferencia › revisión exhaustiva

9 Citas (Scopus)

Resumen

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.

Idioma original	Inglés estadounidense
Título de la publicación alojada	Information Technology and Systems - Proceedings of ICITS 2019
Editores	Manolo Paredes, Carlos Ferrás, Álvaro Rocha
Editorial	Springer Verlag
Páginas	835-844
-	10
ISBN (versión impresa)	9783030118891
DOI	https://doi.org/10.1007/978-3-030-11890-7_78
Estado	Indizado - 2019
Evento	International Conference on Information Technology and Systems, ICITS 2019 - Quito, Ecuador Duración: 6 feb. 2019 → 8 feb. 2019

Serie de la publicación

Nombre	Advances in Intelligent Systems and Computing
Volumen	918
ISSN (versión impresa)	2194-5357

Conferencia

Conferencia	International Conference on Information Technology and Systems, ICITS 2019
País/Territorio	Ecuador
Ciudad	Quito
Período	6/02/19 → 8/02/19

Nota bibliográfica

Publisher Copyright:
© 2019, Springer Nature Switzerland AG.

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10.1007/978-3-030-11890-7_78

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Machicao, J. C. (2019). Higher Education Challenge Characterization to Implement Automated Essay Scoring Model for Universities with a Current Traditional Learning Evaluation System. En M. Paredes, C. Ferrás, & Á. Rocha (Eds.), Information Technology and Systems - Proceedings of ICITS 2019 (pp. 835-844). (Advances in Intelligent Systems and Computing; Vol. 918). Springer Verlag. https://doi.org/10.1007/978-3-030-11890-7_78

Machicao, José Carlos. / Higher Education Challenge Characterization to Implement Automated Essay Scoring Model for Universities with a Current Traditional Learning Evaluation System. Information Technology and Systems - Proceedings of ICITS 2019. editor / Manolo Paredes ; Carlos Ferrás ; Álvaro Rocha. Springer Verlag, 2019. pp. 835-844 (Advances in Intelligent Systems and Computing).

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title = "Higher Education Challenge Characterization to Implement Automated Essay Scoring Model for Universities with a Current Traditional Learning Evaluation System",

abstract = "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.",

keywords = "Artificial intelligence, Automated essay scoring, Higher education, Knowledge management",

author = "Machicao, {Jos{\'e} Carlos}",

note = "Publisher Copyright: {\textcopyright} 2019, Springer Nature Switzerland AG.; International Conference on Information Technology and Systems, ICITS 2019 ; Conference date: 06-02-2019 Through 08-02-2019",

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Machicao, JC 2019, Higher Education Challenge Characterization to Implement Automated Essay Scoring Model for Universities with a Current Traditional Learning Evaluation System. En M Paredes, C Ferrás & Á Rocha (eds.), Information Technology and Systems - Proceedings of ICITS 2019. Advances in Intelligent Systems and Computing, vol. 918, Springer Verlag, pp. 835-844, International Conference on Information Technology and Systems, ICITS 2019, Quito, Ecuador, 6/02/19. https://doi.org/10.1007/978-3-030-11890-7_78

Higher Education Challenge Characterization to Implement Automated Essay Scoring Model for Universities with a Current Traditional Learning Evaluation System. / Machicao, José Carlos.
Information Technology and Systems - Proceedings of ICITS 2019. ed. / Manolo Paredes; Carlos Ferrás; Álvaro Rocha. Springer Verlag, 2019. p. 835-844 (Advances in Intelligent Systems and Computing; Vol. 918).

Producción científica: Libro o Capítulo del libro › Contribución a la conferencia › revisión exhaustiva

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Machicao JC. Higher Education Challenge Characterization to Implement Automated Essay Scoring Model for Universities with a Current Traditional Learning Evaluation System. En Paredes M, Ferrás C, Rocha Á, editores, Information Technology and Systems - Proceedings of ICITS 2019. Springer Verlag. 2019. p. 835-844. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-030-11890-7_78

Higher Education Challenge Characterization to Implement Automated Essay Scoring Model for Universities with a Current Traditional Learning Evaluation System

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