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Showing 1 to 15 of 31 results Save | Export
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Nina Bergdahl; Melissa Bond; Jeanette Sjöberg; Mark Dougherty; Emily Oxley – International Journal of Educational Technology in Higher Education, 2024
Educational outcomes are heavily reliant on student engagement, yet this concept is complex and subject to diverse interpretations. The intricacy of the issue arises from the broad spectrum of interpretations, each contributing to the understanding of student engagement as both complex and multifaceted. Given the emergence and increasing use of…
Descriptors: Learner Engagement, College Students, Student Behavior, Educational Technology
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Wenjing Li; Ziyi Kuang; Xiaoxue Leng; Richard E. Mayer; Fuxing Wang – Educational Psychology Review, 2024
Although gesturing onscreen instructors are widely included in video lectures, it is still unclear whether, when, and how they are conducive to learning. To clarify this issue, we conducted a set of three-level meta-analyses of 662 effect sizes from 83 articles, spanning Web of Science, PsycINFO, ERIC, Education Research Complete, ProQuest…
Descriptors: Nonverbal Communication, Video Technology, Educational Technology, Teacher Behavior
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Roe, Jasper; Perkins, Mike – International Journal for Educational Integrity, 2022
This article reviews the literature surrounding the growing use of Automated Paraphrasing Tools (APTs) as a threat to educational integrity. In academia there is a technological arms-race occurring between the development of tools and techniques which facilitate violations of the principles of educational integrity, including text-based…
Descriptors: Automation, Technology Uses in Education, Integrity, Plagiarism
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Seokmin Kang; Chun-Hao Chang; Sungyeun Kim – Educational Technology & Society, 2025
Virtual tools are rapidly supplementing physical tools in classrooms. Although extensive research has compared the benefits of using virtual and physical manipulatives, few studies have systematically explored the learning benefits of using a physical and a virtual tool. As the major learning goal in science, technology, engineering, and…
Descriptors: Educational Technology, Technology Uses in Education, Manipulative Materials, STEM Education
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Elmoazen, Ramy; Saqr, Mohammed; Khalil, Mohammad; Wasson, Barbara – Smart Learning Environments, 2023
Remote learning has advanced from the theoretical to the practical sciences with the advent of virtual labs. Although virtual labs allow students to conduct their experiments remotely, it is a challenge to evaluate student progress and collaboration using learning analytics. So far, a study that systematically synthesizes the status of research on…
Descriptors: Learning Analytics, Higher Education, Medical Education, Student Behavior
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Jingyuan Chen; Zongjian Fu; Hongfeng Liu; Jinku Wang – International Journal of Web-Based Learning and Teaching Technologies, 2024
With its immersive, interactive, and creative capabilities, virtual reality (VR) has been widely used in educational settings to provide students with challenging real-world experiences. As a result, interest in its effectiveness has grown. The goal of this meta-analysis is to examine how VR technology affects students' motivation to study. A…
Descriptors: Computer Simulation, Educational Technology, Learner Engagement, Instructional Effectiveness
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Chris D. Craig; Robin Kay – Higher Learning Research Communications, 2023
Objectives: Immersive virtual reality (IVR) provides opportunities to learn within a nonphysical, digital world. The purpose of this critical review was to examine published systematic reviews regarding the benefits and challenges of IVR in higher education to inform best practices. Method: We followed the Preferred Reporting Items for Overviews…
Descriptors: Computer Simulation, Technology Uses in Education, Content Analysis, Educational Technology
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Hui-Tzu Hsu; Chih-Cheng Lin – Journal of Computer Assisted Learning, 2024
Background: Behavioural intention (BI) has been predicted using other variables by adopting the technology acceptance model (TAM). However, few studies have examined whether BI can predict learning performance. Objectives: The present study used an extended TAM to investigate whether students' BI is a predictor of their listening learning…
Descriptors: Intention, Vocabulary Development, Handheld Devices, College Students
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Sy-Yi Tzeng; Kuang-Chao Yu – Journal of Technology Education, 2024
There are two difficulties associated with many previous evaluations of students' attitudes toward technology. First, most questionnaires focus on social and family environments, neglecting the schooling environment. Second, although some studies have considered the schooling environment, there has been no systematic review of these studies. To…
Descriptors: Student Attitudes, Educational Technology, Technology Uses in Education, Educational Environment
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Wang, Jingxian; Tigelaar, Dineke E. H.; Zhou, Tian; Admiraal, Wilfried – Journal of Computer Assisted Learning, 2023
Background: The impact of mobile technology usage on student learning in various educational stages has been the subject of ongoing empirical and review research. The most recent meta-analyses on various types of mobile technology use for potential benefits of learning covered the empirical studies up to about nine years ago. Since then, the use…
Descriptors: Educational Technology, Telecommunications, Handheld Devices, Elementary Secondary Education
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Assis, Luciana; Rodrigues, Ana Carolina; Vivas, Alessandro; Pitangui, Cristiano Grijó; Silva, Cristiano Maciel; Dorça, Fabiano Azevedo – International Journal of Distance Education Technologies, 2022
The automation of learning object recommendation and learning styles detection processes has attracted the interest of many researchers. Some works consider learning styles to recommend learning objects. On the other hand, other works automatically detect learning styles, analyzing the behavior of students in intelligent tutorial systems in…
Descriptors: Research Reports, Instructional Materials, Correlation, Cognitive Style
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Salas-Pilco, Sdenka Zobeida; Yang, Yuqin; Zhang, Zhe – British Journal of Educational Technology, 2022
The COVID-19 pandemic has forced higher education institutions to implement online learning activities based on virtual platforms, allowing little time to prepare and train faculty members to familiarize students with digital technologies. While previous studies have looked at how students engaged with digital technologies in their learning…
Descriptors: COVID-19, Pandemics, Higher Education, School Closing
Hunduma, Chala Mosisa; Mekuria, Yilfashewa Seyoum – Online Submission, 2023
The main objective of this study is to identify the constraint hindering ICT integration in Ethiopian public secondary schools. The study's results demonstrate that the Integration of ICT is still in its infant stages due to a lack of infrastructure, insufficient funds, lack of technical and administrative support, lack of time, teachers'…
Descriptors: Barriers, Technology Integration, Educational Technology, Public Schools
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Karolina Urton; Mariola Moeyaert; Kerstin Nobel; Anne Barwasser; Richard T. Boon; Matthias Grünke – Exceptionality, 2025
This study employed a meta-analytic approach to examine the effectiveness of graphic organizers (GOs) in improving academic and behavioral outcomes for K-12 students with disabilities, drawing from the single-case special education literature. Moderators at participant and study level were analyzed in addition to the main effects. A comprehensive…
Descriptors: Instructional Materials, Students with Disabilities, Instructional Effectiveness, Academic Achievement
Gretchen Scheibel; Kathleen N. Zimmerman; Howard P. Wills – Journal of Special Education Technology, 2023
Self-monitoring is a promising evidence-based intervention for students who benefit from supplemental supports to stay on-task during academic periods. I-Connect, a technology-based self-monitoring intervention with a substantial body of research, allows students to discretely recognize and record their behavior on a mobile or desktop app at…
Descriptors: Time on Task, Self Management, Educational Technology, Student Behavior
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