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João C. Silva; José Coelho Rodrigues; Vera L. Miguéis – Education and Information Technologies, 2024
Implementation of information and communication technologies (ICTs) in education is defined as the incorporation of ICTs into teaching and learning activities, both inside and outside the classroom. Despite widely studied, there is still no consensus on how it affects student performance. However, before evaluating this, it is crucial to identify…
Descriptors: Students, Influences, Information Technology, Telecommunications
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Haoyue Qian; Chenggong Wang; Hui Li – Education and Information Technologies, 2024
Prolonged digital use is prevalent among young children. Still, it is unclear which parental risk factors contribute to this and whether cultural background (western vs. non-western) and parental role (mother vs. father/parents) could moderate this impact. A systematic literature search identified 52 empirical studies with 54,334 children in a…
Descriptors: Literature Reviews, Meta Analysis, Preschool Children, Computer Use
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Lei Du; Beibei Lv – Education and Information Technologies, 2024
This research examines the influence of integrating generative artificial intelligence (GAI) in education, focusing on its acceptance and utilization among elementary education students. Grounded in the Task-Technology Fit (TTF) Theory and an expanded iteration of the Unified Theory of Acceptance and Use of Technology (UTAUT) model, the study…
Descriptors: Influences, Student Attitudes, Artificial Intelligence, Technology Uses in Education
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Boulus Shehata; Ahmed Tlili; Ronghuai Huang; Michael Agyemang Adarkwah; Mengyu Liu; Tingwen Chang – Education and Information Technologies, 2024
Despite the importance of Student-Centered Learning (SCL), limited information exists in the literature on how SCL can be facilitated by various educational technologies. This study, therefore, explores the literature to investigate the role of educational technology in supporting SCL. Particularly, it builds on the American Psychological…
Descriptors: Student Centered Learning, Educational Technology, Educational Research, Educational Trends
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Zheng Zhong; Sijia Feng; Shuaizhen Jin – Education and Information Technologies, 2024
This study examines the impact of various factors on teachers' anxiety toward teaching in Virtual Reality (VR) environments. Specifically, the research proposes a hypothetical model and investigates the influence of technical proficiency, self-efficacy, and school support on VR teaching anxiety. A total of 329 teachers with prior experience in VR…
Descriptors: Influences, Anxiety, Computer Simulation, Educational Technology
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Chunlin Qi; Nanchang Yang – Education and Information Technologies, 2024
Improving adolescent digital resilience in the digital era, guiding adolescents to correctly face and adapt to the pressures, challenges, or adversities brought on by technology, and assisting adolescents in better adapting to digital life is an unavoidable task under the new normal of education and information technology changes. At this point,…
Descriptors: Resilience (Psychology), Stress Variables, Adolescents, Technology
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Caitlin Frawley; Laurie O. Campbell – Education and Information Technologies, 2025
Emerging technologies in education, such as wearable devices, tangible user interfaces, virtual reality, augmented reality, and robotics can support learners' motivations, achievement, engagement, and collaboration skills. However, knowledge of teachers' intentions to adopt and utilize emerging technologies are limited. In this study, a path…
Descriptors: Influences, Intention, Technology Uses in Education, Teacher Attitudes
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Ayman Alarabiat; Omar Hujran; Dimah Al-Fraihat; Ali Aljaafreh – Education and Information Technologies, 2024
Previous Online Learning (OL) studies have provided significant insights into why students would adopt or use OL but far less attention has been directed towards understanding why they would reject or resist continuing to use OL. The capability of OL to simulate the learning process to be equivalent to classroom learning remains an unresolved…
Descriptors: Learner Engagement, Resistance (Psychology), Electronic Learning, Influences
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Ziqing Peng; Yan Wan – Education and Information Technologies, 2024
Understanding preferences surrounding artificial intelligence (AI) and human teaching assistants (TAs) helps managers improve AI TAs, effectively deploying AI and human TAs, and providing better services to learners. The literature has explored how AI TAs' characteristics affect students' use intention, neglecting students' comparative behaviors…
Descriptors: Artificial Intelligence, Teaching Assistants, Student Attitudes, Anxiety
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Thorsten Otto; Barbara Thies – Education and Information Technologies, 2024
In recent years, social media such as YouTube, TikTok, and Instagram have become an essential part of the everyday lives of children and young adults. Integrating elements of these social media into higher education may have the potential to enhance situational intrinsic learning motivation through the emotional design and proximity to students'…
Descriptors: Influences, Social Media, Student Motivation, Student Attitudes
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Ahmet Kara; Funda Ergulec; Esra Eren – Education and Information Technologies, 2024
Online learning environments have become increasingly prevalent in higher education, necessitating an understanding of factors influencing student engagement. This study examines the mediating role of self-regulated online learning in the relationship between five-factor personality traits and student engagement among university students. A sample…
Descriptors: Self Management, Electronic Learning, Student Behavior, Personality Traits
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Saltos-Rivas, Rafael; Novoa-Hernández, Pavel; Rodríguez, Rocío Serrano – Education and Information Technologies, 2023
Being digitally competent is an imperative requirement for the 21st century university teacher, a fact recognized by both the literature and policymakers. Although this topic has been addressed in different reviews and critical studies recently, none of them have systematically and explicitly addressed the factors that explain, or are explained…
Descriptors: College Faculty, Digital Literacy, Competence, Influences
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Engin Kutluay; Feride Karaca – Education and Information Technologies, 2025
An exploratory sequential mixed-method study is designed to develop and test a comprehensive model explaining the relationships between factors associated with smartphone addiction and high school students' academic achievement. Involving two main phases of qualitative and quantitative, focus group discussions with high school students and…
Descriptors: Models, Handheld Devices, Telecommunications, Addictive Behavior
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Juan José García-Machado; Minerva Martínez Ávila; Nicoleta Dospinescu; Octavian Dospinescu – Education and Information Technologies, 2024
In recent years educational institutions are increasingly using online learning and because of this trend it is necessary to investigate its impact on student academic performance. Although this topic has been addressed in different educational fields before, there is an objective justification for our approach. Thus, the reasoning behind this…
Descriptors: Electronic Learning, Influences, Academic Achievement, Student Motivation
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Liu, Kaifeng; Yao, Jingtao; Tao, Da; Yang, Tianrui – Education and Information Technologies, 2023
The present study aimed to examine whether and to what extent university student online learning performance was influenced by individual-technology fit (ITF), task-technology fit (TTF), environment-technology fit (ETF), and whether the influence was mediated by their behavioral, emotional, and cognitive engagement. A theoretical research model…
Descriptors: College Students, Electronic Learning, Educational Technology, Learner Engagement
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