Background: Spatial ability (SA) was shown to be important for success in different fields, including STEM. Recent research suggested that SA is a unitary construct, rather than a set of related skills. However, it is not clear how individual differences in different facets of SA emerge, and how they relate to variance in general cognitive…

The underutilization of e-learning among university lecturers is an important issue that needs to be resolved. This study aimed to formulate an e-learning postadoption model for Malaysian universities. Data were collected using self-administered questionnaires involving 36 e-learning experts who from lecturers in public and private universities in…

The rise of social media and its permeation into all aspects of social life has in turn led to its adoption and use by academics in their professional lives. Social media, and social networking sites in particular, require profiles and cultivation of an online identity. An individual may use a range of online platforms, and existing models of…

The purpose of this study is to create a model of tertiary vocational education in Kenya. Despite considerable progress in Kenya over the last 20 years, current education models, low attendance, and low academic proficiency levels preclude many vulnerable learners from becoming employable. Utilizing semi structured interviews of eight Kenyan…

Objective: To use egocentric network analysis to understand how composition and structure of egonetworks relate to violence victimization among college students. Participants: 697 students from a large southeastern university completed online surveys. Methods: Hierarchical logistic regression analyses assessed the relationship between egocentric…

The aim of this article is to explore the characteristics of the new model of PhD programs (using the case of SPSU) and to test the following hypothesis: the new model of PhD programs in Saint-Petersburg State University (SPSU) is relevant and useful for innovative development and knowledge economy formation. The hypothesis was tested according to…

Social Learning Analytics (SLA) seeks to obtain hidden information in large amounts of data, usually of an educational nature. SLA focuses mainly on the analysis of social networks (Social Network Analysis, SNA) and the Web, to discover patterns of interaction and behavior of educational social actors. This paper incorporates the SLA in a smart…

Psychologists are interested in whether friends and couples share similar personalities or not. However, no statistical models are readily available to test the association between personalities and social relations in the literature. In this study, we develop a statistical model for analyzing social network data with the latent personality traits…

In this paper, we evaluate the complete undergraduate co-enrollment network over a decade of education at a large American public university. We provide descriptive and exploratory analyses of the network, demonstrating that the co-enrollment networks evaluated follow power-law degree distributions similar to many other large-scale networks; that…

The purpose of this study is to explore the nature of complex adaptive systems (CAS) and network dynamics in international education (IE) programs in a U.S. higher education institution. I analyze the IE programs through a lens of complexity and network theories and ask how measures of engagement in complex networks affect performance in the IE…

Increasing student retention (successfully finishing a particular course) and persistence (continuing through a sequence of courses or the major area of study) is currently a major challenge for universities. While students' academic and social integration into an institution seems to be vital for student retention, research into the effect of…

Much research on higher education has discussed the positional competition induced by global rankings and the complementary concept of "world-class" universities. This paper investigates the network of social media communication between globally ranked universities. Specifically, it examines whether universities seek to preserve and…

This study investigates a possible way to analyze chat data from collaborative learning environments using epistemic network analysis and topic modeling. A 300-topic general topic model built from TASA (Touchstone Applied Science Associates) corpus was used in this study. 300 topic scores for each of the 15,670 utterances in our chat data were…

We use the Enron email corpus to study relationships in a network by applying six different measures of centrality. Our results came out of an in-semester undergraduate research seminar. The Enron corpus is well suited to statistical analyses at all levels of undergraduate education. Through this article's focus on centrality, students can explore…

The Visitors and Residents model of internet use suggests a continuum of modes of engagement with the online world, ranging from tool use to social spaces. In this paper, we examine evidence derived from a large cohort of students to assess whether this idea can be validated by experimental evidence. We find statistically significant differences…