The past three decades have seen proliferating research on Transnational Higher Education (TNHE), mostly understood through a market-oriented lens as a means of institutional and individual investment in economic and status gains. Less understood is the interplay between the state and the market logic in TNHE. Large-scale research on the…

In the present study, using complex network analysis, we conducted a one-year including two semesters to investigate the effect of social network intervention on college students' social perception biases. One hundred and seventy college students participated in this study. Social network intervention was implemented in the second semester.…

The rapid growth of technology and computer science, which has led to a surge in demand for skilled professionals in this field. The skill set required for computer science jobs has evolved rapidly, creating challenges for those already in the workforce who need to adapt their skills quickly to meet industry demands. To stay ahead of the curve, it…

Mentorship is a valuable component of the growth of junior faculty, but mentorship and the mentorship network in the broadly defined agricultural education discipline is not well understood. This study describes junior faculty mentees in the discipline and their mentors, as well as the mentorship interactions, including the social network of…

Social media has been shown to be an efficient way to engage in networked participatory scholarship (NPS), which is defined as the use of online social networks to share and further develop scholarship. As leaders in the field, educational technology scholars should be at the forefront of this practice. We used social network analysis (SNA) to…

Digital ecosystems are a set of interconnected elements that enable an integrated and seamless digital experience. In education, the use of Artificial Intelligence (AI) has great potential to improve teaching and learning. However, for the expectations placed on the educational use of AI to be met, it is necessary to develop adequate digital…

Network meta-analysis (NMA) is an established method for assessing the comparative efficacy and safety of competing interventions. It is often the case that we deal with interventions that consist of multiple, possibly interacting, components. Examples of interventions' components include characteristics of the intervention, mode (face-to-face,…

This study investigates inter- and intracoder reliability, proposing a new approach based on social network analysis (SNA) and exponential random graph models (ERGM). During a recent exit poll, the responses of voters to two open-ended questions were recorded. A coding experiment was conducted where a group of coders coded a sample of text…

The use of metaverse in mathematics education has revolutionized the way the subject is taught. Metaverse provides immersive and engaging experiences that enhance understanding and enable access to previously inaccessible places. This research discusses papers in the field of metaverse and mathematics, including annual scientific outputs,…

Intelligent technology plays a pivotal role in revolutionizing learning assessments, overcoming the constraints of traditional assessment methods and driving educational innovation. Knowledge tracing (KT) emerges as a critical component for assessing students' learning states and forecasting their future performance. However, existing graph-based…

The Improvement Network Health and Development Framework (INHD Framework) sets a vision for a complex new organizational form for practical problem solving: the Networked Improvement Community (NIC). One critical test of this idealized framework is to explore its usefulness in describing variation in these deliberatively formed, temporary…

Societal structures and memory organization models share network-like features, offering insights into how information spreads and shapes collective memories. In this study, we manipulated the structure of lab-created community networks during a computer-mediated recall task using the Deese-Roediger-McDermott paradigm to test the spreading…

Market research topics and methodologies are gaining presence in the most syllabus of university degrees. Today's students will probably become business managers of companies commercializing different products and services, such as hotels, restaurants, or cultural products and services. Because of this, they must learn how to apply quantitative…

Microblogging sites have become important data sources for studying network dynamics and information transmission. Both areas of study, however, require accurate counts of indegree, or follower counts; unfortunately, collection of complete time series on follower counts can be limited by application programming interface constraints, system…

Context: The importance of the involved stakeholders and their networks in vocational education and training (VET) focussing on international transfer and cooperation is highlighted in various empirical studies. A systematic empirical survey of these by means of social network analysis, however, has hardly been applied to date. This article is…