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…

Understanding and supporting pre-service teachers' creativity in collaborative instructional design has gained increasing attention. To design novel and effective learning experiences or activities for students, they need to build empathy with students, that is, understanding students' learning needs. This study aimed to (1) explore the patterns…

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…

Background: Academic achievement goals are important for student outcomes, including their well-being, collaboration with peers, and academic achievement. Theory and research also indicate that achievement goals are linked to students' social context, playing a role in forming and maintaining peer relationships within the school environment. Aims:…

In the realm of literacy education, curriculum is driven by politics, finances, standardization, and accountability. How specified curricular materials make their way into the classroom often baffles educators. The one thing they know is it is "isn't the one we voted for." This study includes a review of literature on how curricula were…

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…

Online learning communities are becoming increasingly popular as they are known to support collaborative dialogue and knowledge building. Previous studies have typically focused on small, closed learning communities from an individual, static, and aggregated perspective. This research aims to advance our understanding of open and large online…

Background: This study aimed to develop and test new analytics for knowledge-building practices from the transactive perspective. Based on a literature review, network analysis was identified as a promising analytical tool for these practices. We observed two aspects of network analysis that could be further developed: the multilayers of networks…