Modeling Students’ Perceptions of Chatbots in Learning

Integrating Technology Acceptance with the Value-Based Adoption Model

Bibliographic Data

ID22046258
AuthorsAhlam Mohammed Al-Abdullatif (0000-0003-2815-1137, King Faisal University, corresponding author)
Year2023
Volume13
Issue11
Pages1151
Publication date2023-11-17
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEducation Sciences (JOURNAL)
Journal identifiersISSN: 2227-7102 • E-ISSN: 2227-7102
PublisherMDPI AG (PUBLISHER • IT)
DOI10.3390/educsci13111151
OpenAlexW4388762412
LanguageEN
Citations received24
References cited80

As technology continues to advance, chatbots are likely to become an increasingly vital tool in education. This study digs further into how students perceive and accept chatbots for use in learning activities. The study examines the integrated relationships between the constructs of the technology acceptance model (TAM) and the constructs of the value-based model (VAM), including perceived enjoyment, perceived risk, and perceived value, to predict students’ attitudes and, consequently, their acceptance of chatbots for learning in higher education. A total of 432 respondents participated in an online survey, and the proposed hypotheses were evaluated through structural equation modeling (SEM-PLS). The study offers useful insights on chatbot adoption in Saudi higher education, as the results highlight important drivers of chatbot acceptance among students, including perceived usefulness, perceived ease of use, attitude, perceived enjoyment, and perceived value. Perceived risk was not a significant predictor of students’ attitudes or their acceptance of chatbot use in learning. The results are expected to foster the adoption of chatbot technology in supporting distance learning in Saudi Arabia’s higher education

Chatbot · Human–computer interaction · Knowledge management · Perception · Risk perception · Structural equation modeling · Technology Acceptance Model · Usability · World Wide Web · AI in Service Interactions · Applied Psychology · Computer Science · Digital Marketing and Social Media · Psychology · Social Psychology · Technology Adoption and User Behaviour

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