Traditionally, researchers employ human raters for scoring responses to creative thinking tasks. Apart from the associated costs this approach entails two potential risks. First, human raters can be subjective in their scoring behavior (inter-rater-variance). Second, individual raters are prone to inconsistent scoring patterns…

Purpose: The purpose of this study was twofold: (1) to determine whether there are speech rhythm differences between preschool-age children who stutter that were eventually diagnosed as persisting (CWS-Per) or recovered (CWS-Rec) and children who do not stutter (CWNS), using empirical spectral analysis and empirical mode decomposition of the…

Learning analytics dashboards (LADs) provide educators and students with a comprehensive snapshot of the learning domain. Visualizations showcasing student learning behavioral patterns can help students gain greater self-awareness of their learning progression, and at the same time assist educators in identifying those students who may be facing…

Despite considerable advances in knowledge tracing algorithms, educational technologies that use this technology typically continue to use older algorithms, such as Bayesian Knowledge Tracing. One key reason for this is that contemporary knowledge tracing algorithms primarily infer next-problem correctness in the learning system, but do not…

Background: Poor sleep is commonplace among traditional entry university students. Lifestyle modifications, such as time management behaviors, may improve sleep quality by allocating sufficient time for sleep and mitigating stress-associated sleep latency inefficiencies. Purpose: The purpose of our study was to evaluate time management behaviors…

The research on which we report in this paper was framed within the socioepistemological theory and dealt with the fundamental role of variational practices in the understanding of COVID-19 pandemic graphs. Given the proliferation of mathematical graphs related to the pandemic in the media, we proposed to analyse the variational practices in use…

The current study took a person-centered approach to examine the heterogeneity of changes in children's emotions and persistence during a goal-blocking task and examined how different profiles of emotions and persistence related to children's self-regulation. Children's anger, sadness, and persistence were rated in a goal-blocking task in…

Many studies show that augmented reality (AR) provides multiple benefits to science education, including learning gains, motivation to learn, and collaborative learning. However, while using AR largely depends on the teachers' willingness, existing literature lacks studies that identify teachers' intentions to use this technology. This study…

Previous research has suggested that infants are able to distinguish between possible and impossible events and make basic probabilistic inferences. However, much of this research has focused on children's intuitions about past events for which the outcome is already determined but unknown. Here, we investigated children's ability to use…

We designed this study to find out if teachers' beliefs and intentions would have an impact on children's self-regulation skills and to see if teachers would estimate self-regulation skills of children properly. There were 43 teachers and 190 preschool children as participants. We asked teachers to report their beliefs about teaching and we also…

Academics' conceptions of teaching (ACTs) and academics' teaching approaches (ATAs) are essential factors in informing academics' teaching behaviors. However, empirical evidence from longitudinal research exploring the causal link between ACTs and ATAs is lacking. In the current study, we employed a cross-lagged panel model approach in three waves…

Education determines life chances across the globe, but human capital and skill formation offer context-specific advantages in the labour market during the transition from school to work. Our study focuses specifically on the varying effects of low skill on youth 'not in employment, education or training' (NEET) statuses via educational…

Educational psychology usually focuses on explaining phenomena. As a result, researchers seldom explore how well their models predict the outcomes they care about using best-practice approaches to predictive statistics. In this paper, we focus less on explanation and more on prediction, showing how both are important for advancing the field. We…

Since the advent of massive open online courses (MOOC), it has been the focus of educators and learners around the world, however the high dropout rate of MOOC has had a serious negative impact on its popularity and promotion. How to effectively predict students' dropout status in MOOC for early intervention has become a hot topic in MOOC…

Care leavers, one of the most vulnerable groups in society, are underrepresented in higher education (HE). This study follows 16 entire birth cohorts of alumni of youth villages in Israel (born 1982-1997, N = 44,164) and is based on national administrative data. Using Propensity Score Matching we created a double sized comparison group from the…