This paper provides a tutorial on epistemic network analysis (ENA), a novel method for identifying and quantifying connections among elements in coded data and representing them in dynamic network models. Such models illustrate the structure of connections and measure the strength of association among elements in a network, and they quantify…

The practice and application of education data mining and learning analytics has become the focus of educational researchers. However, it is still a difficult task to explore the law of group learning and the characteristics of individual learning. In this study, the online learning logs of 1,088 students from 22 classes were analyzed from the…

Networks are of significant importance in many application domains, such as World Wide Web and social networks, which often embed rich topological information. Since network topology captures the organization of network nodes and links, studying network topology is very important to network analysis. In this dissertation, we study networks by…

Language learning occurring in authentic contexts has been shown to be more effective. Virtual worlds provide simulated contexts that have the necessary elements of authentic contexts for language learning, and as a result, many studies have adopted virtual worlds as a useful platform for language learning. However, few studies so far have…

Although many international students experience transitional issues, most research assumes these issues will disappear over time. Using principles of social capital theory, this study addressed whether after three years of study students were able to build multi-national and host social capital links. In this quantitative study of 81 students from…