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

Research output: Chapter in Book/Report › Conference contribution › peer-review

10 Scopus citations

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.

Original language	American English
Title of host publication	Information Technology and Systems - Proceedings of ICITS 2019
Editors	Manolo Paredes, Carlos Ferrás, Álvaro Rocha
Publisher	Springer Verlag
Pages	835-844
Number of pages	10
ISBN (Print)	9783030118891
DOIs	https://doi.org/10.1007/978-3-030-11890-7_78
State	Indexed - 2019
Event	International Conference on Information Technology and Systems, ICITS 2019 - Quito, Ecuador Duration: 6 Feb 2019 → 8 Feb 2019

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	918
ISSN (Print)	2194-5357

Conference

Conference	International Conference on Information Technology and Systems, ICITS 2019
Country/Territory	Ecuador
City	Quito
Period	6/02/19 → 8/02/19

Bibliographical note

Publisher Copyright:
© 2019, Springer Nature Switzerland AG.

Keywords

Artificial intelligence
Automated essay scoring
Higher education
Knowledge management

Access to Document

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

Cite this

Machicao, J. C. (2019). Higher Education Challenge Characterization to Implement Automated Essay Scoring Model for Universities with a Current Traditional Learning Evaluation System. In 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",

year = "2019",

doi = "10.1007/978-3-030-11890-7\_78",

language = "American English",

isbn = "9783030118891",

series = "Advances in Intelligent Systems and Computing",

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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. in 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).

Research output: Chapter in Book/Report › Conference contribution › peer-review

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AB - 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.

KW - Artificial intelligence

KW - Automated essay scoring

KW - Higher education

KW - Knowledge management

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

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AN - SCOPUS:85061352611

SN - 9783030118891

T3 - Advances in Intelligent Systems and Computing

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EP - 844

BT - Information Technology and Systems - Proceedings of ICITS 2019

A2 - Paredes, Manolo

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Y2 - 6 February 2019 through 8 February 2019

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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. In Paredes M, Ferrás C, Rocha Á, editors, 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

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

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Cite this