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…

Background: This study aimed to: (a) explore differences in the prevalence of nomophobia and smartphone addiction (SA) from pre- to during COVID-19; (b) identify students' self-reported changes in smartphone reliance and screen time during COVID-19; and (c) examine whether self-perceived changes in smartphone usage predicted nomophobia and SA…

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…

To explore the relationships among parenting styles, children's electronic media usage (EMU) and children's problem behaviours (CPB), 1,224 preschoolers aged 3-6 years old (52.0% boys; 30.9% aged 3 years old, 34.6% aged 4 years old, 26.1% aged 5 years old, and 8.4% aged 6 years old) and their parents were enrolled in the present study by means of…

Mobile phones have become essential learning tools with their extensive features and functionalities, contributing to the emergence of mobile learning. These devices enable communication and collaboration both inside and outside the classrooms while also aiding in information seeking, collection, and content generation. Yet, the use of mobile…

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 aim of this study was to determine the relationship between the intrinsic motivation levels and self-directed learning levels of learners within a massive open online course environment. In addition, the relationship between these variables and the technology competences/average daily use times of technology were also studied. This study was…

Computer gameplay and social media are the two most common forms of entertainment in the digital age. Many scholars share the assumption that leisure-time digital consumption is associated with CS affinity, but there is a dearth of research evidence for this relationship. Female students generally spend less time on gaming and more time on social…

Objective: To examine how time spent on handheld screens was related to internalizing mental health symptoms in college students and whether time spent in nature was associated with fewer mental health symptoms. Participants: Three hundred seventy-two college students (M[subscript age] = 19.47 ± 1.74, 63.8% female; 62.8% college freshman).…

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 research analyzed the predictive effect of personality types on online unethical behaviors and the relationship between these two variables. Online unethical behaviors are discussed in terms of gender, educational level, and ethics course experience. The study group of the research conducted in the correlational survey model consisted of 269…