Competency-oriented student activities are an important means of enabling teachers to move from teaching fundamental knowledge to developing students' subject competencies. To examine mathematics teacher novice--expert differences in organizing competency-oriented activities, this study collected data from three consecutive lessons taught by an…

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…

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 study examines the temporal co-occurrences of self-regulated learning (SRL) activities and three types of knowledge (i.e., task information, domain knowledge, and metacognitive knowledge) of 34 medical students who solved two tasks of varying complexity in a computer-simulated environment. Specifically, we explored how task complexity…

Background: As a non-cognitive trait, grit plays an important role in human learning. Although students higher in grit are more likely to perform well on tests, how they learn in the process has been underexamined. Objectives: This study attempted to explore how students with different levels of grit behave and learn in an exploratory learning…

This study shows that residual variation can cause problems related to scaling in exponential random graph models (ERGM). Residual variation is likely to exist when there are unmeasured variables in a model--even those uncorrelated with other predictors--or when the logistic form of the model is inappropriate. As a consequence, coefficients cannot…

The present study investigates the relation between language environment and language delay in 63 British-English speaking children (19 typical talkers (TT), 22 late talkers (LT), and 22 late bloomers (LB) aged 13 to 18 months. Families audio recorded daily routines and marked the new words their child produced over a period of 6 months. To…

Time-course model-based network meta-analysis (MBNMA) has been proposed as a framework to combine treatment comparisons from a network of randomized controlled trials reporting outcomes at multiple time-points. This can explain heterogeneity/inconsistency that arises by pooling studies with different follow-up times and allow inclusion of studies…

The present study investigated the Italian version of the Decent Work Scale (DWS) with a sample of 645 workers (females = 65.1%; mean age = 43.9 years; SD = 10.9) according to a network perspective. We compared factorial and network models and estimated the regularized partial correlations for the five DWS domains: "physically and…

The investigation uses Popitz's power theory (1992) to examine relationships among social power position, attractiveness, and verbal aggressiveness comparing social networks of high school and university students. 117 high school PE students and 195 university PE students participated in the research completing both a network and a joint…

Engaging in interactions with peers is important for student learning. Many studies have quantified patterns of student interactions in in-person physics courses using social network analysis, finding different network structures between instructional contexts (lecture and laboratory) and styles (active and traditional). Such studies also find…

In this study, we carried out an online cross-cultural learning activity supported by speech-enabled language translation technology on a social network service with representatives from 13 nationalities. The participants were assigned into two groups: Group I discussed the traditions and related culture of interest whereas Group II discussed…

Grounded in the sense-making literature, this study explores the discourse around and sentiment toward the newly passed Every Student Succeeds Act (ESSA) as discussed on the social media platform Twitter. The study explores the characteristics of and connections between users, the content of posts, and the sentiment toward ESSA. Data consisted of…

Social network-based engineering education (SNEE) is designed and implemented as a model of Education 3.0 paradigm. SNEE represents a new learning methodology, which is based on the concept of social networks and represents an extended model of project-led education. The concept of social networks was applied in the real-life experiment,…

This study investigated the effects of Facebook and Twitter on foreign language (Chinese) learners' written production in both short- (10 days) and long-term (50 days) pseudo-experimental settings. Adopting two concepts (i.e. symmetric vs. asymmetric) from matrix theory in social network analysis, we categorized Facebook as a symmetric social…