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Sher Abbas; Liu Junqi; Liu Rongbing – Education and Information Technologies, 2025
This study examines the relationship between digital citizenship practices (DCP) and online student behavior (OSB). This study investigates the mediating role of digital technology engagement and technology use in the relationship between DCP and OSB. This study used a sample of 551 students from various schools and universities in China, and the…
Descriptors: Foreign Countries, Student Behavior, Technology Uses in Education, Educational Technology
Tzu-Chien Liu; Yi-Chun Lin – Educational Technology Research and Development, 2025
Professional vision (PV), which includes the ability to perceive and interpret classroom events, is important for classroom behaviour management, particularly in the training of student teachers. However, to date, few assessment systems that can assess student teachers' professional vision by immersing them in a realistic classroom environment…
Descriptors: Student Teachers, Observation, Classroom Techniques, Computer Simulation
Stephanie D. Smith; Fayth Walbridge; Tiffany Harris; Mairin C. Cotter; Rachel Kaplan; Brittany Garza; Zachary Wilde; Arianna Delgadillo; Richard Mohn; Brad Dufrene – School Mental Health, 2024
The Good Behavior Game (GBG), a universal classroom management intervention, has shown clear benefits in promoting the behavioral, social-emotional, and academic development of students. However, the quality with which this intervention is delivered tends to diminish over time, which decreases the likelihood of these positive outcomes. By…
Descriptors: Classroom Techniques, Fidelity, Intervention, Technology Uses in Education
Sarah W. Beck; Sarah Levine – Reading Research Quarterly, 2024
In "Parable of the Sower," Octavia Butler (1993) wrote: "Any Change may bear seeds of benefit. Seek them out. Any Change may bear seeds of harm. Beware" (p. 116). In this paper, we apply this command to a speculative examination of the consequences of text-based generative AI (GAI) for adolescent writers, framing this…
Descriptors: Artificial Intelligence, Writing (Composition), Student Behavior, Writing Processes
Anass Bayaga – Education and Information Technologies, 2025
This study examines the influence of AI-powered and emerging technologies on pedagogical practices in higher education, focusing on their role on behavioural intention (BI) and actual usage among educators and students. The research hypothesises that the relationship between each Unified Theory of Acceptance and Use of Technology (UTAUT)…
Descriptors: Artificial Intelligence, Educational Technology, Teaching Methods, Educational Innovation
Sarah Levine; Sarah W. Beck; Chris Mah; Lena Phalen; Jaylen PIttman – Journal of Adolescent & Adult Literacy, 2025
Educators and researchers are interested in ways that ChatGPT and other generative AI tools might move beyond the role of "cheatbot" and become part of the network of resources students use for writing. We studied how high school students used ChatGPT as a writing support while writing arguments about topics like school mascots. We…
Descriptors: Natural Language Processing, Artificial Intelligence, Technology Uses in Education, Writing (Composition)
Miftah Arifin; Anas Ma'ruf Annizar; Moh. Khusnuridlo; Abd. Halim Soebahar; Agus Yudiawan – Journal of Education and e-Learning Research, 2025
This study examines a level and model for technology acceptability and use in online learning inside universities. The unified theory of UTAUT is used as an analysis tool. An associative quantitative method is used with a sample of 392 students. Data were collected by distributing questionnaires through a specially designed Google Form. The data…
Descriptors: Educational Technology, Electronic Learning, Technology Uses in Education, College Students
Dhatri Pandya; Keyur Rana; Aditi Padhiyar – Education and Information Technologies, 2025
With the advent of closed-circuit television systems (CCTV) in the era of technology, a massive amount of video data is generated daily. CCTV are installed at several educational institutions to monitor students' behavior and ensure their safety. Human activity monitoring is done manually. Abnormal human actions refer to rare or unusual actions in…
Descriptors: Technology Uses in Education, Handheld Devices, Telecommunications, Classroom Environment
Wenji Wang; Wenjuan Wang – Journal of Computer Assisted Learning, 2025
Background Study: The combination of artificial intelligence (AI) and foreign language learning is emerging as a significant trend in language education. Objectives: This study aimed to investigate the impact of technology acceptance, attitude and motivation on behavioural intentions regarding the use of AI in language learning. Methods:…
Descriptors: College Students, Student Behavior, Intention, Educational Technology
Yujie Zhou; Liping Deng – Australasian Journal of Educational Technology, 2024
Smartphone multitasking is prevalent in university classrooms, yet the nature and characteristics of this behavior have not been sufficiently understood. This empirical study explores in-class smartphone multitasking behaviors using diverse research approaches to achieve a more authentic and holistic understanding of this pervasive behavior.…
Descriptors: Handheld Devices, Telecommunications, Student Behavior, Time Management
Lijuan Huang; Adiza A. Musah – Journal of Pedagogical Research, 2024
In the ever-changing sector of education, the use of technology has become critical to innovation and increased learning opportunities. This research illustrates the intricate connections that exist between augmented reality [AR] and tremendous educational attributes, thinking about how AR might modify conventional teaching approaches. The…
Descriptors: Computer Simulation, Creativity, Student Behavior, Teaching Methods
Ray Buss; Amy Markos; Josephine Marsh – Impacting Education: Journal on Transforming Professional Practice, 2025
Generative AI has emerged as a tool to assist doctoral students as they conduct academic research and writing. In this study, we explored two ways AI has been used by students in our EdD program--informally and independently and in a more formalized, guided manner. First, we found students have been engaged in self-directed, informal, independent…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Doctoral Students
Zhongling Pi; Xuran Li; Mengjie Tong; Xin Zhao; Jiayu Wang; Xiying Li; Xiangchao Guo – Journal of Computer Assisted Learning, 2025
Background: Instructors' facial expressions in instructional videos can greatly influence how learners perceive their emotions, thereby affecting students' attention to the learning content and their overall performance. While the short-term effects of instructors' specific facial expressions in instructional videos have been well documented, less…
Descriptors: Video Technology, Technology Uses in Education, Teacher Behavior, Nonverbal Communication
Lisa Swindull – Journal of the American Academy of Special Education Professionals, 2025
This paper aims to inform other practitioners working with students with autism spectrum disorder about how to create and implement activity schedules for use in schools. This paper includes a review of research regarding the effectiveness of activity schedules on on-task behavior and the ability to transition. Creating these schedules has been…
Descriptors: Students with Disabilities, Autism Spectrum Disorders, Scheduling, Activities
Irum Alvi – Education and Information Technologies, 2024
Virtual Reality (VR) technology has become a powerful tool for Second Language (L2) learning, but few studies have explored the factors influencing learners' experiences and intentions, particularly in developing countries like India. The purpose of the study is to reveal both the reception of VR technology for L2 learning in India and the factors…
Descriptors: Computer Simulation, Second Language Learning, Foreign Countries, Developing Nations