We're all familiar with the sentiment that "college is the best time of your life." Along with a newfound sense of freedom, students have a unique opportunity to forge lifelong friendships at a point in life when friendship is particularly important. Why is it, then, that so many college students are falling victim to what the US Surgeon…

Promoting continuous learning behavior is a key challenge for online learning. The present paper empirically examines the effects of course network characteristics including course network size, course network diversity, and course strong ties on continuance behavior, considering the moderating impacts of social learning and social exposure.…

Background: There is a growing emphasis on integrating engineering design into K-12 science, technology, engineering, and mathematics (STEM) education. Prior studies have primarily examined the impact of engineering design on student learning outcomes or employed frequency-based static statistical analyses, rather than focusing on student learning…

Despite the ubiquity of variation in child development within individuals, across groups, and across tasks, timescales, and contexts, dominant methods in developmental science and education research still favor group averages, short snapshots of time, and single environments. The Learning Variability Network Exchange (LEVANTE) is a framework…

Studying the networked nature of social and cognitive aspects of learner interactions is the key to understanding how successful collaborative learning occurs in asynchronous online discussion forums (AODFs). Guided by network science and multiplex network analysis, this study compared the differences of network structure and properties between…

Online discussion research has mainly been conducted using case methods. This article proposes a method for comparative analysis based on network metrics such as information entropy and global network efficiency as more holistic measures characterizing social learning group dynamics. We applied social learning optimization analysis of networks…

With the growing attention to the effective use of social network analysis in explaining student learning in STEM (science, technology, engineering, and mathematics) education, the authors explore why college students share knowledge and how they achieve their learning in a laboratory class. In particular, the authors investigate how the social…

Learning analytics (LA) has become an increasingly active field focusing on leveraging learning process data to understand and improve teaching and learning. With the explosive growth in the number of studies concerning LA, it is significant to investigate its research status and trends, particularly the thematic structure. Based on 3900 LA…

Social network analysis (SNA) is increasingly viewed as a contributing methodology to program evaluation to examine the complexities of social programs and interrelationships within the program networks. Despite the growing literature on the topic, more knowledge is needed to understand how, when, and under what conditions social network analysis…

This research aimed to explore (1) the characteristics and patterns of student interactions on online discussion boards throughout a course using social network analysis (SNA) and (2) the mediating effect of social presence, as the underlying mechanism, on the relationship between these interactions and students' learning outcomes. Eighty-four…

Research provides ample evidence that positive social relations and access to knowledge are supportive for educational change. However, few studies have examined how personnel turnover and restructuring in school districts influence these processes, specifically as they relate to leaders' access to research evidence and perception of…

An important factor for First Generation High School students (FGS) in higher education is social capital. To highlight differences in social capital between FGS and their Non-FGS peers (NFGS) by analysing the structure of their ego-centred social networks and its' effect on their career planning, we conducted two cross-sectional studies: on high…

This mixed methods research study explores the university student learning experience of IP subnetting. Using a constructivist perspective, VR software was designed, written, and utilized in a learning process to gather both quantitative and qualitative data about the experience of learning IP subnetting. Participants underwent pre-test and…

The COVID-19 pandemic has brought unprecedented challenges and opportunities for knowledge management systems (KMS) in various domains and sectors. This research explores the strategies to manage expectational knowledge in higher education after the COVID-19 pandemic. This study employed a qualitative research method with a case study design to…

Despite the importance of trustees as leaders in US higher education institutions, our knowledge and understanding of their behavior is limited. This is increasingly problematic as trustees engage more directly with institutions as institutional boundaries have become more porous. We utilize social network analysis and document analysis of…