Modeling student perception of Web 2.0 technologies adoption in Kuwait DISSERTATION
Mohammad Alajmi, University of North Texas, United States
University of North Texas . Awarded
The primary focus of this dissertation was to explore students' perceptions of adopting Web 2.0 applications at the School of Basic Education (SBE) in Kuwait. Although Web 2.0 applications are becoming more popular among the digital generation, there is still no evidence of students' perceptions of adopting the innovation of Web 2.0 technologies in Kuwait. The problem this study addresses is that the current status of Web 2.0 technologies usage by academic students has remained educationally unknown in Kuwait. Therefore, there was a need to investigate the extent to which academic students in SBE are aware of and their usage of Web 2.0 technologies, as well as the factors and obstacles that affect using these technologies.
Rogers’ diffusion of innovation theory (DoI) is employed in this study to specify the factors that influence student perceptions of adopting Web 2.0 applications as learning tools. Data used in this dissertation was gathered via a survey instrument from 350 students at the SBE and was statistically analyzed to find out the answers of the research questions.
This study identified the low rate of Web 2.0 awareness and adoption by the students. Descriptive statistical analysis, such as mean scores and standard deviation, were used to analyze and conclude the findings. In the rates of awareness and adoption of Web 2.0, this study also identified no statistically significant differences between the groups of all the demographic variables except the academic field. The statistically significant differences were identified between the academic variables before and after recoding the academic fields into 5 groups. A t-test and one-way ANOVA were used to determine the statistical significance.
Several factors were examined in the study to identify their influence on the rate of adoption. The factors included the rate of awareness, Rogers’ attributes of innovations, and the obstacles to adopt Web 2.0. The multiple linear regression technique was used to find out the percentage of variance that was explained by three groups of predictors. The overall research model explained 49% of the variance on the rate of adoption. The implications of the findings, in addition to adding empirical evidence to the body of knowledge, highlight areas for professional development, educational and institutional changes and possibility for future research.
Alajmi, M. Modeling student perception of Web 2.0 technologies adoption in Kuwait. Ph.D. thesis, University of North Texas. Retrieved October 19, 2018 from https://www.learntechlib.org/p/129618/.
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