ABSTRACT
The acceptance of IoT technologies in education by pre-service teachers will affect their intention to use these technologies in the future. Previous research has addressed the effects of variables on the acceptance of IoT technologies in education to a limited degree. Therefore, this study aims to propose and test a structural model that determines educational IoT technology acceptance. This study, the acceptance of IoT in the educational environment is modeled in the context of individual innovativeness and information and communication technologies (ICT) competencies. According to the results of the research conducted with 471 pre-service teachers, 69% intended to use IoT in education is explained in a technology acceptance model (TAM) in which TAM variables, individual innovativeness, and ICT competencies are combined.
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No potential conflict of interest was reported by the author(s).
Correction Statement
This article has been corrected with minor changes. These changes do not impact the academic content of the article.
Additional information
Notes on contributors
Şahin Gökçearslan
Dr Şahin Gökçearslan graduated from Computer Education and Instructional Technology (CEIT), Department of Hacettepe University. Gökçearslan got an M.S. degree at the same program, the same University. In 2013, he got his Ph.D. degree in the field of CEIT, Educational Technology Program, at Ankara University. His research interest is mainly about technology integration, problematic smartphone usage, mobile learning, online learning communities, and computer programming. Currently working in Gazi University Distance Education R&D Center as an Associate Professor. ORCID: 0000-0003-3532-4251. www.sahingokcearslan.com.
Hatice Yildiz Durak
Dr Hatice Yildiz Durak graduated from Computer Education and Instructional Technology (CEIT), Department of Hacettepe University. Durak got an M.S. degree at the same program, the same University. In 2016, he got his Ph.D. degree in the field of CEIT at Gazi University now she is working as an Associate Professor on Computer Technology and Information Systems Department, Faculty of Science, Bartın University, Bartın, Turkey. E-mail: [email protected]. ORCID: 0000-0002-5689-1805. www.hyildizdurak.com.
Nilüfer Atman Uslu
Dr Nilüfer Atman Uslu is an Assistant Professor at Manisa Celal Bayar University. She focuses on ICT integration into learning and teaching processes and teacher professional development. ORCID: 0000-0003-2322-4210.