The literature on generative "Artificial Intelligence" (AI) in education primarily focuses on its immediate benefits and applications, such as personalized learning, student engagement, and content generation. However, there is a notable absence of empirical research concerning the holistic use of generative AI within educational…

This study aimed to explore the impact of basic psychological needs on satisfaction with using generative AI and ChatGPT in particular. Further, an adaptation of the "Basic Psychological Need Satisfaction for Technology Use" (BPN-TU) scale was conducted throughout the study. The study developed a unique research model based on the…

This study aims to determine the extent of leisure participation, digital addiction, and phubbing tendencies among adolescents. This study was descriptive correlational study. The study was conducted with a sample of 410 adolescents in a province in Northern X. As the data collection tools, an Information Form, the Leisure Activity Participation…

This study tests a moderate mediation model and clarifies the mechanisms linking screen exposure to children's socioemotional competence. The objective is to examine if children's emotional ability mediates the relationship between screen exposure and socioemotional competence, and if parental media mediation moderates this pathway. Using…

The aim of this study extends the structural models in the existing literature to understand the role of multiple screen addictions (MSA) in the process while considering the relationships between goal orientation, GPA, and autonomous learning as predictors of online engagement. This study used a relational screening model to explore relations…

Recent research on more comprehensive models of student learning in adaptive math learning software used an indicator of student reading ability to predict students' tendencies to engage in behaviors associated with so-called "gaming the system." Using data from Carnegie Learning's MATHia adaptive learning software, we replicate the…

Health behavior, mental health, and school satisfaction are associated in school-aged youth. However, most previous research examining such associations does not account for unique groupings of these variables based on person-centered analyses. This study examined student mental health profiles and their association with health behaviors and…

The goal of the present study was to identify predictive factors related to cyberbullying by using supervised machine learning in a sample of Chinese adolescents during the COVID-19 pandemic. Participants included 2053 (M[subscript age]=16.36 years, SD = 1.14 years; 44.6% boys) adolescents from Fujian province, China. Data on cyberbullying,…

This study explores the influence of digital literacy, parental styles, and background variables on digital game addiction among elementary school students. Given the formative nature of early childhood and the significant role of parental influence, understanding these relationships is essential to promoting healthy digital habits. The sample…

This study investigated the levels and predictors of school happiness among primary school students, with a particular emphasis on justice disposition. The sample consisted of 1065 students from public schools in three provinces of Aegean Region in Türkiye. Data were collected using the Justice Disposition Scale and the School Happiness Scale, and…

This study aims to examine how external locus of control (eLoC) impacts students' academic procrastination behaviors in asynchronous distance education with regard to compulsive internet habits, cyberloafing, disrespect for copyright, learning goal orientation, and self-efficacy. The sample comprised a total of 916 undergraduate students.…

China's recent implementation of the three-child policy is expected to have profound implications for population dynamics, leading to potential changes in preschool enrollment and subsequent demand for preschool teachers. This study addresses this issue by utilizing population forecasting software (PADIS-INT) to project population growth trends…

This study investigates the relationship between preservice teachers' digital transformation awareness and their 21st-century information literacy skills. A cross-sectional survey design was employed with 378 preservice teachers at a Turkish state university. Data were collected through a Personal Information Form, the Digital Transformation…

Providing pre-training on new material can simplify complex content for learners who may need guidance to understand basic facts and organize their efforts. However, the effect of pre-training on learning outcomes is controversial because it tends to vary by context. Our aim was to investigate the effectiveness of pre-training in reducing…

Background/Purpose: This study investigates the effectiveness of integrating Artificial Intelligence (AI) with Problem-Based Learning (PBL) to enhance high school students' conflict resolution skills within the context of civic education. The initiative responds to the increasing need for pedagogical models that simultaneously foster ethical…