Learning with interactive whiteboards Determining the factors on promoting interactive whiteboards to students by Technology Acceptance Model

dc.contributor.authorKilic, Eylem
dc.contributor.authorGuler, Cetin
dc.contributor.authorCelik, H. Eray
dc.contributor.authorTatli, Cemal
dc.date.accessioned2020-01-29T18:52:07Z
dc.date.available2020-01-29T18:52:07Z
dc.date.issued2015
dc.departmentFakülteler, Eğitim Fakültesi, Eğitim Bilimleri Bölümüen_US
dc.description.abstractPurpose - The purpose of this study is to investigate the factors which might affect the intention to use interactive whiteboards (IWBs) by university students, using Technology Acceptance Model by the structural equation modeling approach. The following hypothesis guided the current study: H1. There is a positive relationship between IWB self-efficacy and perceived learning (PL). H2. There is a positive relationship between IWB self-efficacy and perceived ease of use (PEOU). H3. There is a positive relationship between IWB self-efficacy and perceived usefulness (PU). H4. There is a positive relationship between PL and PEOU. H5. There is a positive relationship between PL and PU. H6. There is a positive relationship between PEOU and attitude. H7. There is a positive relationship between PU and attitude. Design/methodology/approach - A survey method was used to collect the data. Purposive sampling was used, and 416 high-school students participated in the current study. Descriptive statistics and structural equation model conducted to test the proposed model were used in data analysis. Findings - All hypotheses formulated within the scope of the research model were statistically confirmed. H1, which assumed that interactive whiteboard self-efficacy (IWBSE) have had a positive impact on PL, was found to be statistically significant. The impact of IWBSE on PL was 0.61 which means that if IWBSE increases one unit, the impact on PL will be an average of 0.61 points. The relationship between IWBSE, which is expressed in H2 and H3, and, respectively, PEOU and PU latent variables, was statistically significant. IWBSE mostly affected PEOU (= 0.51, t = 7.92), and then PU (= 0.16, t = 2.43). The relationship between PL - which is expressed in H4 and H5-and, respectively, PEOU and PU latent variables, was statistically significant. IWBSE mostly affected PU (= 0.63, t = 7.94), and then PEOU (= 0.27, t = 3.95). Originality/value - It is aimed to transform the entire classes into computerized classes (Smart Class) around Turkey with FATIH project which includes usage of interactive boards. Because it is a very big project funded by the government, it is important to evaluate its adaptation among teachers and students. Therefore, the current study aims to investigate the factors which might affect the attitude to use IWBs by high-school students.en_US
dc.identifier.doi10.1108/ITSE-05-2015-0011
dc.identifier.endpage297en_US
dc.identifier.issn1741-5659
dc.identifier.issn1758-8510
dc.identifier.issue4en_US
dc.identifier.scopus2-s2.0-84947269415
dc.identifier.scopusqualityN/A
dc.identifier.startpage285en_US
dc.identifier.urihttps://dx.doi.org/10.1108/ITSE-05-2015-0011
dc.identifier.urihttps://hdl.handle.net/20.500.12639/897
dc.identifier.volume12en_US
dc.identifier.wosWOS:000212574200004
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherEMERALD GROUP PUBLISHING LTDen_US
dc.relation.ispartofINTERACTIVE TECHNOLOGY AND SMART EDUCATIONen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectStudentsen_US
dc.subjectE-Learningen_US
dc.titleLearning with interactive whiteboards Determining the factors on promoting interactive whiteboards to students by Technology Acceptance Modelen_US
dc.typeArticle

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