The User Characteristics Effects to Smart Board Usage on Technology Acceptance Model Variables:TheSample of Bartin Highschool Teachers

Yasar Akca, Gokhan Ozer, Ayse Derya Isik and Ercan Celik
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Yasar Akca: Assistant Professor Dr., Economics and Administrative Faculty, Bartın University, Bartın, Turkiye.
Gokhan Ozer: Professor Dr., Management Faculty, Gebze Technical University, Gebze/Kocaeli,Turkiye
Ayse Derya Isik: Assistant Professor Dr., Education Faculty, Bartın University, Bartın, Turkiye
Ercan Celik: Head master, MBA, Bartın Highschool, Bartın, Turkiye

International Journal of Research in Business and Social Science (2147-4478), 2017, vol. 6, issue 1, 106-116

Abstract: A new technology’s acceptance also gets shaped accordingto users’ features, expectations and perceptions. Technology Acceptance Model (TAM) that developed by Davis (1989), defends that there are perceived usefulness and perceived ease of use variables to determinantsof a new technology’s usage by user. These perceptions predict the user’s behaviorand explainit. The smart board that has common usage inmodern classroomsprovides effectiveness at education and learning activities. Teachers who usesmart boards can present more effectively. This situation increasesthe teacher’s productivity and student’s learning success and improvement the class’s education quality. Existence of the smart board in the classroom motivates all by self. Thanks to this technological device, it is easy to access internet based study materials. This study’s purpose is testing the user features explanation power effects to usage ofsmart board, which is a new educationtool, based on TAM variables. For performing of the research, surveys have actualizedwith 24 teachers at Bartin High Schoolwith smart boards. Survey datahave beeninterpreted based on correlation, factor and regression analyses in WarpPLS 5.0. Results have been concluded from analyse strongly supports research model. Key Words:User Characteristics, Technology Acceptance Model, FATIH Project, Smart Board

Date: 2017
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