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Müslüm Atas; Helmut Lindner; Thomas Strametz; Fatima Jammoul; Johannes Feiner; Antonius Metry Saad – International Association for Development of the Information Society, 2024
With the rapid growth of digital education, e-learning has become essential for offering accessible and flexible learning opportunities. This paper investigates strategies to achieve long-term learning outcomes and reduce study time in e-learning. It explores various techniques, including self-testing, spaced repetition, and the serial position…
Descriptors: Electronic Learning, Time on Task, Memory, Learning Strategies
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Laura McNeill; Mohammad Mohi Uddin; Lesley Regalado – TechTrends: Linking Research and Practice to Improve Learning, 2025
Although research exists on traditional and virtual internships, there is a significant gap in understanding virtual instructional technology (IT) internships for graduate students. Specifically, this study addresses three key areas: (1) the unique benefits and challenges experienced by graduate students in virtual IT internships, (2) the…
Descriptors: Authentic Learning, Educational Technology, Guided Pathways, Internship Programs
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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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Dahwi Ahn; Jason C. K. Chan – Applied Cognitive Psychology, 2025
COVID-19 greatly increased the online delivery of higher education. But one limitation of online learning is that students often struggle to stay engaged while watching online lectures. We examined whether including an instructor's face in lecture videos (instructor visibility) enhances student engagement or learning. In two preregistered…
Descriptors: Learner Engagement, Video Technology, Lecture Method, Student Attitudes
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Andri Ioannou; Ourania Miliou; Yiannis Georgiou; Stella Timotheou; Louise Barkhuus; Jennifer Rode – Educational Technology Research and Development, 2025
E-textiles provide an interesting field of research as they "blend traditional craft with modern science" (Peppler, 2016) and help learners "broaden their own perceptions of computing" (Searle et al., 2016). Despite the promising findings by primarily long-term interventions structured around e-textiles, educational curriculum…
Descriptors: STEM Education, Foreign Countries, Textiles Instruction, Technology Uses in Education
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I-Fan Liu; Hui-Chun Hung; Che-Tien Liang – Interactive Learning Environments, 2024
With the rise of big data, artificial intelligence, and other emerging information technologies, an increasing number of students without computer science (CS) backgrounds have begun to learn programming. Programming is considered a complex task for beginners, and instructors find it difficult to quickly address all the problems that students…
Descriptors: Programming, Student Attitudes, Blended Learning, Video Technology
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Daniela Decker; Martin Merkt – Journal of Computer Assisted Learning, 2024
Background: Virtual reality (VR) offers much potential for learning, but it challenges learners' orientation. Objectives: This paper investigates whether it is possible to use light or movement cues to facilitate orientation in a search task in a desktop-VR environment so that participants can better attend to the learning content presented…
Descriptors: Cues, Educational Technology, Computer Simulation, Light
Theresa Huff – ProQuest LLC, 2024
Anxiety in college students is at an all-time high, and the online learning environment can inadvertently add to that anxiety. Instructors and instructional designers play a vital role in supporting these online learners. While online learner anxiety around belonging and technology use have been studied, little research exists around course and…
Descriptors: Anxiety, College Students, Online Courses, Educational Technology
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Lars de Vreugd; Anouschka van Leeuwen; Marieke van der Schaaf – Journal of Computer Assisted Learning, 2025
Background: University students need to self-regulate but are sometimes incapable of doing so. Learning Analytics Dashboards (LADs) can support students' appraisal of study behaviour, from which goals can be set and performed. However, it is unclear how goal-setting and self-motivation within self-regulated learning elicits behaviour when using an…
Descriptors: Learning Analytics, Educational Technology, Goal Orientation, Learning Motivation
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Hyun-Bin Hwang; Matthew D. Coss; Shawn Loewen; Kaitlyn M. Tagarelli – Studies in Second Language Acquisition, 2024
Research on mobile-assisted language learning (MALL) has revealed that high rates of attrition among users can undermine the potential benefits of this learning method. To explore this issue, we surveyed 3,670 adult MALL users based on the Unified Theory of Acceptance and Use of Technology (UTAUT) and also conducted an in-depth analysis of their…
Descriptors: Learner Engagement, Handheld Devices, Nontraditional Students, Adults
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Lijia Lin; Shan Li; Xiaoshan Huang; Fu Chen – Distance Education, 2024
The purpose of the study was to examine (a) students' social annotation behaviors and engagement change in an undergraduate course throughout the semester, and (b) which social annotation behaviors impact active engagement time. A total of 91 university students' social annotation behaviors, as well as their active engagement time in readings,…
Descriptors: Computer Mediated Communication, Documentation, Undergraduate Students, Student Behavior
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Gretchen Scheibel; Tyler A. Hicks; Kathleen N. Zimmerman; Jesse R. Pace – Remedial and Special Education, 2024
Intensive interventions are time- and resource-demanding interventions designed to be implemented with a single student with unique learning needs. Economic evaluation provides a methodology for evaluating the time and material resource costs of implementing these interventions to provide detailed feasibility information for educators considering…
Descriptors: Intervention, Cost Effectiveness, Teacher Attitudes, Time on Task
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Olivier Habimana; Mathias Nduwingoma; Irénée Ndayambaje; Jean Francois Maniraho; Ali Kaleeba; Dany Kamuhanda; Evariste Mwumvaneza; Marie Claire Uwera; Albert Ngiruwonsanga; Evode Mukama; Celestin Ntivuguruzwa; Gerard Nizeyimana; Ezechiel Nsabayezu – Education and Information Technologies, 2025
This study explores the level of engagement with Information and Communication Technology (ICT) supported content among students and teachers in learning sciences and basic computing at Rwandan lower secondary schools. Data were collected from ten well-equipped smart classrooms across ten schools. A sample of 394 participants included ten deputy…
Descriptors: Foreign Countries, Educational Technology, Technology Uses in Education, Secondary School Students
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Merve Basdogan; Curtis J. Bonk – Educational Technology & Society, 2025
This descriptive-interpretive qualitative study analyzed educational technology scholars' written discourse with the goal of promoting sustainable terminology usage in the educational technology field. The study analyzed 105 conceptual definitions extracted from 191 doctoral dissertations on various forms of technology-based learning, including…
Descriptors: Foreign Countries, Doctoral Dissertations, Language Usage, Vocabulary
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Zixi Li; Curtis J. Bonk; Chen Zhou – Interactive Technology and Smart Education, 2024
Purpose: This study aims to investigate a unique approach to learning languages through self-directed online learning. Specifically, it explores the self-management abilities and skills learners need while learning a language outside traditional classroom settings when using mobile-assisted learning technology. Design/methodology/approach: A…
Descriptors: Self Management, Independent Study, Second Language Learning, Electronic Learning
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