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Article Citation - WoS: 27Citation - Scopus: 43User Acceptance of Social Learning Systems in Higher Education: an Application of the Extended Technology Acceptance Model(Routledge Journals, Taylor & Francis Ltd, 2017) Akman, Ibrahim; Turhan, CigdemThis study aims to explore the users' behaviour and acceptance of social media for learning in higher educational institutions with the help of the extended Technology Acceptance Model (TAM). TAM has been extended to investigate how ethical and security awareness of users affect the actual usage of social learning applications. For this purpose, a survey was conducted and the Structural Equation Model approach was utilised to investigate the direct and indirect causal relationships among the constructs in the research model. Interestingly, the findings from the analysis reveal that, except ease of use', TAM's core and external constructs are significant predictors of actual behaviour towards using social media for learning.Article Citation - WoS: 24Citation - Scopus: 42Using Learning Styles Theory in Engineering Education(Taylor & Francis Ltd, 2008) Cagiltay, Nergiz ErcilStudies have shown that, while learning different concepts, people sometimes take different approaches (learning styles). Accordingly, their performance reflected differently in their academic studies. With the effect of globalisation to the educational environments, the influence of individual learning styles on educational performance is getting more significant. In this study, a learning style assessment tool was used to examine the relationship between students' learning styles and their performance in engineering education programmes. At the beginning of the programme, 285 students' learning styles were measured using a learning style assessment tool. Four years after the engineering education, their performance in the programme was compared with their individual learning styles. This study shows that most of the students are assimilators. Divergers and convergers follow the assimilators. The number of accommodators is very limited. The relationship between engineering students' learning styles and their performance is found: assimilators and convergers performed better than the divergers and accommodators. The performance difference between assimilators and divergers is statistically significant. The results of this study show that the learning style theory is a potential tool for guiding the design and improvement of courses and helping students to improve their individual performance.
