Teachers’ attitudes towards chatbots in education

A technology acceptance model approach considering the effect of social language, bot proactiveness, and users’ characteristics

Datos Bibliográficos

ID23329121
AutoresRaquel Chocarro (0000-0001-8882-9013, Universidad Pública de Navarra (UPNA)), Monica Cortinas (0000-0002-7961-0148, Universidad Pública de Navarra (UPNA), autor de correspondencia), Gustavo Marcos-Matás (0000-0001-8779-0559, Universidad Pública de Navarra (UPNA))
Año2023
Volumen49
Número2
Páginas295-313
Fecha de publicación2023-03-04
Peer ReviewedSí
Open AccessNo
TipoARTICLE
RevistaEducational Studies (JOURNAL)
Identificadores de la revistaISSN: 0013-1946 • E-ISSN: 1532-6993
EditorialInforma UK Limited (PUBLISHER • GB)
DOI10.1080/03055698.2020.1850426
OpenAlexW3126219458
IdiomaEN
Citas recibidas62
Referencias citadas50

The appearance of Artificial Intelligence implementations, such as text-based virtual assistants (chatbots) in education is relatively new. These implementations can be useful for helping teachers and students to solve both educational questions and routine tasks. This paper examines the factors that explain teachers’ acceptance of chatbots through the dimensions of the Technology Acceptance Model (perceived usefulness and perceived ease of use), its conversational design (use of social language and proactiveness), and the teachers’ age and digital skills. The data collection process included a pre-test and an online survey with four different types of chatbots. We analyse 225 responses of primary and secondary education teachers. The results show that the perceived easiness and perceived usefulness leads to greater acceptance of chatbots. As for the chatbots’ features, formal language by a chatbot leads to a higher intention of using them. These results can help in chatbot design and communication decisions, improving the acceptance of the educational community.

Chatbot · Human–computer interaction · Implementation · Mathematics education · Proactivity · Process (computing) · Software engineering · Technology Acceptance Model · Usability · World Wide Web · AI in Service Interactions · Computer Science · Digital Marketing and Social Media · Impact of Technology on Adolescents · Psychology · Social Psychology