How to Measure Teachers' Acceptance of AI-driven Assessment in eLearning

The use of AI is becoming a growing reality the educational field. One of the activities in which it is beginning to be implemented is the assessment of student achievement. This way, we can find in the literature an increasing number of investigations focused on the possibilities offered by the ado...

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Detalles Bibliográficos
Autores: Sánchez Prieto, José Carlos, Cruz-Benito, Juan, Therón Sánchez, Roberto, García-Peñalvo, Francisco J.
Tipo de recurso: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2019
País:España
Institución:Universidad de Salamanca (USAL)
Repositorio:GREDOS. Repositorio Institucional de la Universidad de Salamanca
OAI Identifier:oai:gredos.usal.es:10366/140548
Acceso en línea:http://hdl.handle.net/10366/140548
Access Level:acceso abierto
Palabra clave:Artificial intelligence
Technology acceptance model
Education
eLearning
Teachers
1203.17 Informática
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spelling How to Measure Teachers' Acceptance of AI-driven Assessment in eLearningSánchez Prieto, José CarlosCruz-Benito, JuanTherón Sánchez, RobertoGarcía-Peñalvo, Francisco J.Artificial intelligenceTechnology acceptance modelEducationeLearningTeachers1203.17 InformáticaThe use of AI is becoming a growing reality the educational field. One of the activities in which it is beginning to be implemented is the assessment of student achievement. This way, we can find in the literature an increasing number of investigations focused on the possibilities offered by the adoption of AI-driven assessment. However, the use of AI is also a source of concern that raises suspicions in some sectors of our society. In this context, knowing the position of the teachers towards this topic is critical to guarantee the successful development of the field. This paper intends to fill a research gap in the literature by offering a technology adoption model based on TAM to study the factors that condition the use of AI-driven assessment among teachers. To present this model we offer a background on the use of AI in education and the technology acceptance among teachers, as well as the definition of the eight constructs and the relational hypotheses included. Finally, the possibilities of the model and future lines of research are discussed.202020202019info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionapplication/pdfhttp://hdl.handle.net/10366/140548reponame:GREDOS. Repositorio Institucional de la Universidad de Salamancainstname:Universidad de Salamanca (USAL)InglésAtribución-NoComercial-CompartirIgual 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-sa/4.0/info:eu-repo/semantics/openAccessoai:gredos.usal.es:10366/1405482026-06-07T06:28:51Z
dc.title.none.fl_str_mv How to Measure Teachers' Acceptance of AI-driven Assessment in eLearning
title How to Measure Teachers' Acceptance of AI-driven Assessment in eLearning
spellingShingle How to Measure Teachers' Acceptance of AI-driven Assessment in eLearning
Sánchez Prieto, José Carlos
Artificial intelligence
Technology acceptance model
Education
eLearning
Teachers
1203.17 Informática
title_short How to Measure Teachers' Acceptance of AI-driven Assessment in eLearning
title_full How to Measure Teachers' Acceptance of AI-driven Assessment in eLearning
title_fullStr How to Measure Teachers' Acceptance of AI-driven Assessment in eLearning
title_full_unstemmed How to Measure Teachers' Acceptance of AI-driven Assessment in eLearning
title_sort How to Measure Teachers' Acceptance of AI-driven Assessment in eLearning
dc.creator.none.fl_str_mv Sánchez Prieto, José Carlos
Cruz-Benito, Juan
Therón Sánchez, Roberto
García-Peñalvo, Francisco J.
author Sánchez Prieto, José Carlos
author_facet Sánchez Prieto, José Carlos
Cruz-Benito, Juan
Therón Sánchez, Roberto
García-Peñalvo, Francisco J.
author_role author
author2 Cruz-Benito, Juan
Therón Sánchez, Roberto
García-Peñalvo, Francisco J.
author2_role author
author
author
dc.subject.none.fl_str_mv Artificial intelligence
Technology acceptance model
Education
eLearning
Teachers
1203.17 Informática
topic Artificial intelligence
Technology acceptance model
Education
eLearning
Teachers
1203.17 Informática
description The use of AI is becoming a growing reality the educational field. One of the activities in which it is beginning to be implemented is the assessment of student achievement. This way, we can find in the literature an increasing number of investigations focused on the possibilities offered by the adoption of AI-driven assessment. However, the use of AI is also a source of concern that raises suspicions in some sectors of our society. In this context, knowing the position of the teachers towards this topic is critical to guarantee the successful development of the field. This paper intends to fill a research gap in the literature by offering a technology adoption model based on TAM to study the factors that condition the use of AI-driven assessment among teachers. To present this model we offer a background on the use of AI in education and the technology acceptance among teachers, as well as the definition of the eight constructs and the relational hypotheses included. Finally, the possibilities of the model and future lines of research are discussed.
publishDate 2019
dc.date.none.fl_str_mv 2019
2020
2020
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/acceptedVersion
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10366/140548
url http://hdl.handle.net/10366/140548
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.rights.none.fl_str_mv Atribución-NoComercial-CompartirIgual 4.0 Internacional
http://creativecommons.org/licenses/by-nc-sa/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Atribución-NoComercial-CompartirIgual 4.0 Internacional
http://creativecommons.org/licenses/by-nc-sa/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:GREDOS. Repositorio Institucional de la Universidad de Salamanca
instname:Universidad de Salamanca (USAL)
instname_str Universidad de Salamanca (USAL)
reponame_str GREDOS. Repositorio Institucional de la Universidad de Salamanca
collection GREDOS. Repositorio Institucional de la Universidad de Salamanca
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,300724

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