RT Journal Article
T1 Impact of artificial intelligence on assessment methods in primary and secondary education: systematic literature review
T2 Impacto de la inteligencia artificial en los métodos de evaluación en la educación primaria y secundaria: revisión sistemática de la literatura
A1 Martínez Comesaña, Miguel
A1 Rigueira Diaz, Xurxo
A1 Larrañaga Janeiro, Ana
A1 Martínez Torres, Javier
A1 Ocarranza Prado, Iago
A1 Kreibel, Denis
K1 5801.99 Otras
AB The educational sector can be enriched by the incorporation of artificial intelligence (AI) in various aspects. The field of artificial intelligence and its applications in the education sector give rise to a multidisciplinary field that brings together computer science, statistics, psychology and, of course, education. Within this context, this review aimed to synthesise existing research focused on provide improvements on primary/secondary student assessment using some AI tool. Thus, nine original research studies (641 participants), published between 2010 and 2023, met the inclusion criteria defined in this systematic literature review. The main contributions of the application of AI in the assessment of students at these lower educational levels focus on predicting their performance, automating and making evaluations more objective by means of neural networks or natural language processing, the use of educational robots to analyse their learning process, and the detection of specific factors that make classes more attractive. This review shows the possibilities and already existing uses that AI can bring to education, specifically in the evaluation of student performance at the primary and secondary levels.
PB Revista de Psicodidáctica (English ed.)
SN 25303805
YR 2023
FD 2023-07/12
LK http://hdl.handle.net/11093/5139
UL http://hdl.handle.net/11093/5139
LA eng
NO Revista de Psicodidáctica (English ed.), 128(2): 93-103 (2023)
NO Universidade de Vigo/CISUG
DS Investigo
RD 11-dic-2024