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…

Over time, the academics' approaches to teaching (i.e., content- or learning-focused approach) were intensively studied. Traditionally, studies estimated the shared variance between the items that describe a behavioral pattern (i.e., the psychometric approach), defined as a learning- or content-focused approach to teaching. In this study, we used…

At many research-intensive universities in North America, there is a disproportionate loss of minoritized undergraduate students from Science, Technology, Engineering, and Mathematics (STEM) majors. Efforts to confront this diversity, equity, and inclusion (DEI) challenge, such as faculty adoption of evidenced-based instructional approaches that…

Motivational factors have long attracted the attention of researchers and educators with their potential to shed light on what drives effective language learning. Although current research now views language learning motivation as a Complex Dynamic System (CDS), there is a dearth of empirical studies utilizing network analysis to understand how…

I present a new model of the self-regulation of virtue that integrates perspectives on emotion, cognition, and motivation. Across three vignette-based studies in US/UK (N = 1,540), I developed through exploratory and confirmatory factor analysis a multi-item measure of broadening and defensive responses, the Self-Regulation of Virtue Inventory…

Sentiments expressed on massive open online course (MOOC) discussion forums significantly influence learning effectiveness and academic performance. The evolution of learning sentiments on MOOC discussion forums is a dynamic process; however, a gap exists in the current understanding of the interplay between evolving sentiments and their impact on…

One of the goals of China's 'Double First-class' initiative is to boost the top-notch disciplines in those next-to-top universities and allow their differentiated paths towards development. This study investigates Chinese universities' policy interpretations and strategic responses to this national initiative through a social network analysis of…

In this dissertation, I argue that the entrepreneurship education literature might be undersocialized in its understanding of how entrepreneurship education programs (EEPs) impact entrepreneurial outcomes. I contend that this organizational context and the pedagogical approaches undertaken can arguably facilitate not only the development of…

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…

Based on 52 studies with samples mostly from English-speaking countries, the current study used Bayesian network meta-analysis to investigate the intervention effectiveness of different reading comprehension strategy combinations on reading comprehension among students with reading difficulties in 3rd through 12th grade. We focused on commonly…

Teachers have gradually been making more use of active methodologies at all educational levels, and some even carry out research in this area. The objective of this research was to develop a bibliometric study in order to gain an in-depth view of the scientific literature on active methodologies in education. An analysis of the classic…

Purpose: The purpose of this study is to reveal how research on brain-based learning (BBL) addressing adult learners' education and training issues has contributed to the overall knowledge base linking neuroscience, adult education and human resource development (HRD) research and practices. Through this comprehensive review of the BBL studies,…

This commentary discusses how research approaches from Cognitive Network Science can be of relevance to research in the field of Learning Analytics, with a focus on modelling the knowledge representations of learners and students as a network of interrelated concepts. After providing a brief overview of research in Cognitive Network Science, I…

In Chinese, writing is a basic competency that pupils should possess. But it is still challenging for teachers to improve pupils' writing abilities. Therefore, this study proposes an intelligence-based cognitive diagnostic feedback strategy to improve pupils' writing ability and writing learning quality by analyzing their writing performance,…

Network analytics has the potential to examine new behaviour patterns that are often hidden by the complexity of online interactions. One of the varied network analytics approaches and methods, the model of collective attention, takes an ecological system perspective to exploring the dynamic process of participation patterns in online and flexible…