Artificial Intelligence for Student Assessment: A Systematic Review
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http://hdl.handle.net/10045/116348
Títol: | Artificial Intelligence for Student Assessment: A Systematic Review |
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Autors: | González-Calatayud, Victor | Prendes Espinosa, M. Paz | Roig-Vila, Rosabel |
Grups d'investigació o GITE: | Grupo de Investigación Interdisciplinar en Docencia Universitaria - Educación y Tecnologías de la Información y Comunicación/Educación Inclusiva (GIDU-EDUTIC/IN) |
Centre, Departament o Servei: | Universidad de Alicante. Departamento de Didáctica General y Didácticas Específicas |
Paraules clau: | Artificial intelligence | Assessment | Education | Student feedback | Technology enhanced learning | Educational innovation |
Àrees de coneixement: | Didáctica y Organización Escolar |
Data de publicació: | 12-de juny-2021 |
Editor: | MDPI |
Citació bibliogràfica: | González-Calatayud V, Prendes-Espinosa P, Roig-Vila R. Artificial Intelligence for Student Assessment: A Systematic Review. Applied Sciences. 2021; 11(12):5467. https://doi.org/10.3390/app11125467 |
Resum: | Artificial Intelligence (AI) is being implemented in more and more fields, including education. The main uses of AI in education are related to tutoring and assessment. This paper analyzes the use of AI for student assessment based on a systematic review. For this purpose, a search was carried out in two databases: Scopus and Web of Science. A total of 454 papers were found and, after analyzing them according to the PRISMA Statement, a total of 22 papers were selected. It is clear from the studies analyzed that, in most of them, the pedagogy underlying the educational action is not reflected. Similarly, formative evaluation seems to be the main use of AI. Another of the main functionalities of AI in assessment is for the automatic grading of students. Several studies analyze the differences between the use of AI and its non-use. We discuss the results and conclude the need for teacher training and further research to understand the possibilities of AI in educational assessment, mainly in other educational levels than higher education. Moreover, it is necessary to increase the wealth of research which focuses on educational aspects more than technical development around AI. |
URI: | http://hdl.handle.net/10045/116348 |
ISSN: | 2076-3417 |
DOI: | 10.3390/app11125467 |
Idioma: | eng |
Tipus: | info:eu-repo/semantics/article |
Drets: | © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
Revisió científica: | si |
Versió de l'editor: | https://doi.org/10.3390/app11125467 |
Apareix a la col·lecció: | INV - GIDU-EDUTIC/IN - Artículos de Revistas |
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Arxiu | Descripció | Tamany | Format | |
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Gonzalez-Calatayud_etal_2021_ApplSci.pdf | 736,48 kB | Adobe PDF | Obrir Vista prèvia | |
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