Given the recent emphasis on exploring valence in creative behavior, this study examines negative creativity via a person-situation interactionist perspective. By manipulating goal valence (uses or misuses) and object valence (positive or negative), four conditions of an adapted Divergent Thinking task were used to predict positive and negative…

This paper provides a thorough examination of the role of Artificial Intelligence (AI), particularly ChatGPT and other AI language models, in the realm of education. Drawing insights from existing literature and a novel study on educator perspectives, the paper delves into the potential advantages, ethical dilemmas, and factors shaping educators'…

It is widely accepted that general intelligence and phonological awareness contribute to children's acquisition of reading and spelling skills. A further candidate in this regard is orthographic knowledge (i.e., the knowledge about permissible letter patterns). It consists of two components, word-specific (i.e., the knowledge of the spelling of…

This study aimed at investigating the relationship between multiple-intelligence and thinking patterns through critical thinking among tenth-grade students in Abu Dhabi private schools. This study used descriptive approach and SEM. Also, the study sample consisted of 350 students from five private schools in Abu Dhabi. The instruments used were…

A longitudinal study was conducted to identify unique sources of individual differences in later understanding of the equal sign as a relational symbol of equivalence (i.e., formal understanding of mathematical equivalence). The sample included 141 children from a mid-sized city in the Midwestern United States (M[subscript age] = 6 years, 2 months…

Transparency and trustworthiness are among the key requirements for the ethical use of learning analytics (LA) and artificial intelligence (AI) in the context of social inclusion and equity. However, research on these issues pertaining to users is lacking, leaving it unclear as to how transparent and trustworthy current LA tools are for their…

The important role of early self-regulation skills has been repeatedly demonstrated in research. However, there is a lack of studies that have simultaneously examined the influence of hot and cool self-regulation skills on school performance and behavior problems in a longitudinal design from preschool to elementary school and controlling…

The authors examined whether school counselors' emotional intelligence predicted their comprehensive school counseling program (CSCP) implementation and whether engagement in transformational leadership practices mediated the relationship between emotional intelligence and CSCP implementation. The sample for the study consisted of 792 school…

As generative artificial intelligence (GenAI) increasingly penetrates language education, understanding learners' continued intention to use this technology becomes crucial. This study examines EFL learners' continuance intention to use GenAI for language learning through PLS-SEM and fsQCA methodologies. Participants were undergraduate EFL…

Generative artificial intelligence brings opportunities and unique challenges to nontraditional higher education students, stemming, in part, from the experience of the digital divide. Providing access and practice is critical to bridge this divide and equip students with needed digital competencies. This mixed-methods study investigated how…

Effective teaching practices are essential for enhancing classroom instruction and student learning. However, a comprehensive understanding of the factors influencing teachers' instructional practices remains elusive. This study employs machine learning (ML) to identify the most significant predictors influencing the instructional practices of…

An enduring challenge in visual-spatial research has been to identify the factors contributing to individual differences in ability. This research investigated the overall, verbal, and nonverbal visual-spatial ability of 61 (34 boys) three- to five-year-olds (M[subscript age] = 57.3 months; SD = 7.9) and the following factors known to be related…

Recently, tracking student behavior has become a very important phase for constructing adaptive educational systems. Several researchers have developed various methods based on machine learning for better tracing students' knowledge. Most of these methods have shown an effective estimation of student features and an accurate prediction of future…

This study investigated the relationship between non-cognitive factors (mathematics anxiety, Emotional Intelligence, and mathematics self-concept) and mathematics performance in students with and without Mathematics Learning Disability (MLD). Participants were 340 3rd, 4th, and 5th grade students from a public elementary school. Results showed…

This study assessed the differences in the emotional intelligence of gifted adolescent students and talented adolescent students in Bahrain. The sample consisted of 80 gifted adolescent students and 80 talented adolescent students in Grades 9 through 12. A multivariate analysis of variance (MANOVA) indicates that there were significant differences…