Digital game addiction has become a prevalent issue among adolescents. This study aimed to elucidate both the relationship between digital game addiction severity and academic procrastination, as well as school burnout, and to examine the indirect role of academic procrastination in the connection between digital game addiction severity and school…

In Japan, the gender gap in attendance at 4-year universities is narrowing, yet significantly fewer women apply to selective colleges. A growing body of literature suggests that gendered expectations of educational returns and cultural stereotypes, most compellingly reflected in parental influence, are pivotal in shaping children's college…

Coping Power (CP) is an empirically supported school-based intervention for children at risk for aggression. A child's social status with peers and the extent to which they accurately perceive it are important aspects of preadolescent social development that may influence how intervention format affects disruptive behavior outcomes. Further,…

There has been a notable increase in students' usage of generative artificial intelligence (GenAI) tools, such as ChatGPT, for academic purposes. The current study aimed to investigate the relationships between students' innovation consciousness, need for cognition, and their usage of ChatGPT. The study also examined the relationship between…

The aim of this study is to develop a valid and reliable measurement tool to measuring teachers' leader-member exchange behaviors. The study group of the research consists of 396 teachers working in secondary schools in the central districts of Eskisehir, Odunpazari and Tepebasi, in the 2018-2019 academic year. The construct validity of the scale…

This research investigates whether academic integrity can be strengthened through a holistic educative approach that combines compulsory modules on academic integrity, pedagogy that challenges punitive approaches, and an embedded curriculum. We present quantitative and qualitative data from surveys and interview responses from students to…

Background: The digital literacy landscape has undergone significant changes over the last 5 years, from the impact of the COVID-19 pandemic to the emergence of Artificial Intelligence (AI) technologies. The COVID-19 pandemic hastened the necessity for advanced digital skills for remote work and online collaboration, while the current AI era…

Background: Learning analytics dashboards (LAD) have been developed as feedback tools to help students self-regulate their learning (SRL) by using the large amounts of data generated by online learning platforms. Despite extensive research on LAD design, there remains a gap in understanding how learners make sense of information visualised on LADs…

This study aimed to develop and validate the Metacognitions about Generative AI Use Scale (MGAUS) to assess college students' metacognitive beliefs about generative AI and to explore these metacognitions as predictors of generative AI addiction risk. A total of 1229 college students from China participated in the study, providing data through an…

This study proposes and validates a sequential digital-physical-psychological (DPP) pathway model to explain how social media use facilitates international students' cross-cultural adaptation through behavioral and psychological mediation. Building on media system dependency theory and social learning theory, the model posits that digital…

Teacher gesture recognition aims to identify and interpret teacher gestures within academic settings. It has been applied in domains such as teaching performance evaluation, the optimization of online education, and special needs education. However, the background similarity of teacher gestures, the inter-class similarity, and the intra-class…

Feature engineering plays a critical role in the development of machine learning systems for educational contexts, yet its impact on student trust remains understudied. Traditional approaches have focused primarily on optimizing model performance through expert-crafted features, while the emergence of AutoML offers automated alternatives for…

Eye-tracking studies tested the understanding of two types of speech acts (questions and assertions) in 14-, 18-, and 30-month-olds (N = 280; 149 females; ethnicity data collection forbidden, testing in 2021-2024). Experiments involved objects either hidden or visible for a speaker. By 14 months, when the speaker asked questions, infants focused…

This study explores the perspectives of professionals working with children on the impact of digital device use in schools on health and learning. A survey was conducted among 62 experts, including doctors, psychologists, and opticians, to determine safe daily limits for time spent on digital devices for different age groups. The results suggest…

This paper describes the evaluation of one year of infant/early childhood mental health consultation (IECMHC) in subsidized early care and education settings provided by the New York City Early Childhood Mental Health Network. The evaluation examined direct and indirect outcomes of IECMHC including (1) improved classroom practices by ECE teachers,…