Difficulties regulating emotions have been coined as inherent to autism, possibly even presenting a core difficulty of autism. While several models of emotion regulation have been proposed in the past, in this targeted review article, we aim to map emotion regulation difficulties in autistic individuals within the framework of the extended process…

This study examined the longitudinal relationships among self-concept clarity (SCC), hope, and subjective well-being (i.e., emotional well-being and cognitive well-being). Specifically, we tested both the between-person and within-person associations of SCC with subjective well-being among 2,001 Chinese adolescents (age range 11-24 years, 42.9%…

Emotions of learners are fundamental and significant in e-learning as they encourage learning. Machine learning models are presented in the literature to look at how emotions may affect e-learning results that are improved and optimized. Nevertheless, the models that have been suggested so far are appropriate for offline mode, whereby data for…

Existing research has revealed key factors influencing mathematical flexibility, defined as the capacity to understand, generate, and apply a variety of strategies in solving mathematical problems. However, there is currently a lack of an integrated theoretical framework to systematically consolidate various sources of individual differences in…

In e-learning environments, most adaptive systems do not consider the learner's emotional state when recommending activities for learning difficulties, blockages, or demotivation. In this paper, we propose a new approach of emotion-based adaptation in e-learning environments. The system will allow recommendation resources/activities to motivate…

Personality has been identified as a possible antecedent to emotions experienced in the foreign language (FL) classroom. However, contrasting results and differing personality models have resulted in ambiguous findings. This study set out to delve deeper into the role of personality as a predictor of FL emotions through a series of increasingly…

The study of giftedness and evolution toward talent development models have been approached mostly from an educational perspective. Talent potential development cannot be understood without comprehensively looking at all individuals' facets. This work proposes a theory by which talent potential, considered by the conjunction of cognitive and non…

Efklides and colleagues developed the Metacognitive and Affective model of Self-Regulated Learning (MASRL) to provide a comprehensive theoretical framework of self-regulated learning (SRL). The distinguishing feature of MASRL is that it stresses metacognitive experiences and other subjective experiences (e.g., motivational, affective) as critical…

This study based on the Hedonic Motivation System Adoption Model (HMSAM), the Expectation Confirmation Model (ECM), and Task Technology Fit (TTF), explores the factors influencing users' continuance intention in gamified learning within metaversity. A total of 286 valid questionnaires were collected using random sampling. The data were analyzed…

The author has been influenced throughout his time in mathematics education by the work of Caleb Gattegno. Gattegno made extensive use of the word awareness whereas much educational literature from a psychological perspective talks about memory (for example, Justicia-Galiano, MartÌn-Puga, Linares & Pelegrina, 2017). This has, amongst other…

In the current paper, we examined the dimensional structure of parenting using a bifactor model of observed parenting domains during infancy. We validated our parenting dimensions by examining correlations with indicators of family well-being and child development. Data come from a longitudinal cohort that recruited a diverse sample of mothers…

This article explores leadership lessons that can be drawn from popular sport icons. These lessons reveal how athletes leverage their status to drive social change or how they inspire others through performance-based practices that align with effective modern-day leadership skills. We present four cases to illustrate key leadership competencies…

Emotion detection through sensors is intrusive and expensive, making it impractical for many educational settings. As an alternative, sensor-free affect detection, which relies solely on interaction log data for machine learning models, has been explored. However, sensor-free emotion detectors have not significantly improved performance when…

With the fast development of artificial intelligence and emerging technologies, automatic recognition of students' facial expressions has received increased attention. Facial expressions are a kind of external manifestation of emotional states. It is important for teachers to assess students' emotional states and adjust teaching activities…

This study investigated the role of anger expression and control in the relationships between mindfulness and romantic relationship quality. 237 emerging adults (167 females and 70 males) who had been in a relationship for at least three weeks (range = 3 weeks - 84 months) completed a set of questionnaires that assessed mindfulness, anger…