In relational event networks, the tendency for actors to interact with each other depends greatly on the past interactions between the actors in a social network. Both the volume of past interactions and the time that has elapsed since the past interactions affect the actors' decision-making to interact with other actors in the network. Recently…

Currently, generative AI has undergone rapid development. Numerous studies have attested to the benefits of Gen AI in programming, mathematics and other disciplines. However, since Gen AI mostly uses English as the intrinsic training parameter, it is more effective in facilitating the teaching of courses that use international common notation, but…

Remote association, the ability to form new relations between independent elements, was assessed using the Remote Associates Test (RAT). The Chinese RAT (CRAT) includes the Chinese radical RAT (CRRAT), Chinese word RAT (CWRAT), and Chinese compound RAT (CCRAT). Behavioral research indicates that an individual's performance on the CRAT reflects…

Social network analysis (SNA) examines the relationships that an individual speaker creates and maintains with others in order to explain and predict language behavior. Over the past 20 years, SNA has been used by a growing number of researchers to better understand the language learner and the language learning process, especially in the context…

The recent popularity of models that capture the dynamic coevolution of both network structure and behavior has driven the need for summary indices to assess the adequacy of these models to reproduce dynamic properties of scientific or practical importance. Whereas there are several existing indices for assessing the ability of the model to…

Network analytic methods that are ubiquitous in other areas, such as systems neuroscience, have recently been used to test network theories in psychology, including intelligence research. The network or mutualism theory of intelligence proposes that the statistical associations among cognitive abilities (e.g., specific abilities such as vocabulary…

The emergence of social networks and social media has resulted in exponential increase in the amount of data that link diverse types of richly structured digital objects e.g., individuals, articles, images, videos, music, etc. Such data are naturally represented as heterogeneous networks with multiple types of objects e.g., actors, video,…

An asynchronous online discussion (AOD) is one format of instructional methods that facilitate student-centered learning. In the wealth of AOD research, this study evaluated how students' behavior on AOD influences their academic outcomes. This case study compared the differential analytic methods including web log mining, social network analysis…

The purpose of this article was to explore student participation patterns in online discussion boards related to their characteristics and question types. The characteristics of students enrolled in an online course and the impact of types of discussion questions on student posts were examined. During the 16 weeks of a course, the participation…