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…

Socially shared regulation in learning (SSRL) contributes to successful collaborative learning (CL). Empirical research into SSRL has received considerable attention recently, with increasingly available multimodal data, advanced learning analytics (LA), and artificial intelligence (AI) providing promising research avenues. Yet, integrating these…

This study aimed to offer fresh insights into the analysis of attitudes towards learning and perceptions of lifelong learning affecting lifelong learning participation by exploring the differences in network structures between lifelong learning participants and non-participants and identifying the core items with the greatest impact on lifelong…

While methodologies are often presented as standardised procedures which, under specified conditions, should lead to the same conclusions, this case study presents the complex and deeply personal process of research (Addey and Piattoeva 2022). We analyse our application of network ethnography -- an approach presented by Ball (2016) -- to the study…

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…

Background: Select and enact appropriate learning tactics that advance learning has been considered a critical set of skills to successfully complete highly flexible online courses, such as Massive open online courses (MOOCs). However, limited by analytic methods that have been used in the past, such as frequency distribution, sequence mining and…

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…

Despite the growing use of large language models (LLMs) in educational contexts, there is no evidence on how these can be operationalized by students to generate custom datasets suitable for teaching and learning. Moreover, in the context of network science, little is known about whether LLMs can replicate real-life network properties. This study…

The current study investigated whether the difficulty in finding group differences in prosody between speakers with autism spectrum disorder (ASD) and neurotypical (NT) speakers might be explained by identifying different acoustic profiles of speakers which, while still perceived as atypical, might be characterized by different acoustic qualities.…

Network meta-analysis (NMA) is an extension of pairwise meta-analysis (PMA) which combines evidence from trials on multiple treatments in connected networks. NMA delivers internally consistent estimates of relative treatment efficacy, needed for rational decision making. Over its first 20 years NMA's use has grown exponentially, with applications…

As a formally organized field of study, Australian gifted education was established in the early 1980s. Previous studies have examined the quantity and quality of scholarly dissemination and offered the first analyses of the corpus of Australian gifted education empirical research. The purpose of this study is to extend prior findings by…

Simulation-based learning provides students with unique opportunities to develop key procedural and teamwork skills in close-to-authentic physical learning and training environments. Yet, assessing students' performance in such situations can be challenging and mentally exhausting for teachers. Multimodal learning analytics can support the…

This article introduces a network approach to describe the quality of written scientific explanations. Existing approaches evaluate explanations mainly on the level of sentences or as a whole but not on the elementary level of single terms. Moreover, evaluation of explanations is often based on highly inferential scoring techniques. We addressed…

We developed "metadta," a flexible, robust, and user-friendly statistical procedure that fuses established and innovative statistical methods for meta-analysis, meta-regression, and network meta-analysis of diagnostic test accuracy studies in Stata. Using data from published meta-analyses, we validate "metadta" by comparing and…

Understanding complex systems is important in science and has become a prominent aspect of STEM education in recent years. System thinking plays a critical role, focusing on system attributes such as interactions between components, emerging phenomena and hierarchical organisation. In this study, we provide a network analysis of bibliometric…