Autor según el artículo: Grimalt-Alvaro, C; Usart, M
Departamento: Pedagogia
Autor/es de la URV: Grimalt Alvaro, Maria del Carme / Usart Rodríguez, Mireia
Palabras clave: Technology Review of literature Online Higher education Gender Artificial intelligence technology students review of literature polarity higher education gender feedback emotions attitudes
Resumen: Sentiment Analysis (SA), a technique based on applying artificial intelligence to analyze textual data in natural language, can help to characterize interactions between students and teachers and improve learning through timely, personalized feedback, but its use in education is still scarce. This systematic literature review explores how SA has been applied for learning assessment in online and hybrid learning contexts in higher education. Findings from this review show that there is a growing field of research on SA, although most of the papers are written from a technical perspective and published in journals related to digital technologies. Even though there are solutions involving different SA techniques that can help predicting learning performance, enhancing feedback and giving teachers visual tools, its educational applications and usability are still limited. The analysis evidence that the inclusion of variables that can affect participants’ different sentiment expression, such as gender or cultural context, remains understudied and should need to be considered in future developments.
Áreas temáticas: Pedagogical & educational research Education & educational research Education Educació Computer science (all) Ciencias sociales
Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
Direcció de correo del autor: mireia.usart@urv.cat carme.grimalt@urv.cat
Identificador del autor: 0000-0003-4372-9312 0000-0002-5314-7706
Fecha de alta del registro: 2023-12-17
Versión del articulo depositado: info:eu-repo/semantics/publishedVersion
Enlace a la fuente original: https://link.springer.com/article/10.1007/s12528-023-09370-5
URL Documento de licencia: http://repositori.urv.cat/ca/proteccio-de-dades/
Referencia al articulo segun fuente origial: Journal Of Computing In Higher Education.
Referencia de l'ítem segons les normes APA: Grimalt-Alvaro, C; Usart, M (2023). Sentiment analysis for formative assessment in higher education: a systematic literature review. Journal Of Computing In Higher Education, (), -. DOI: 10.1007/s12528-023-09370-5
DOI del artículo: 10.1007/s12528-023-09370-5
Entidad: Universitat Rovira i Virgili
Año de publicación de la revista: 2023
Tipo de publicación: Journal Publications
Repositori URV