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Ruf, Alessia; Zahn, Carmen; Roos, Anna-Lena; Opwis, Klaus – Educational Technology Research and Development, 2023
Videos are an increasingly popular medium for supporting learning in various educational settings. Nowadays, newly designed video-based environments contain enhanced tools that allow for specific interactions with video materials (such as adding annotations and hyperlinks) which may well support generative learning and conceptual understanding.…
Descriptors: Educational Technology, Video Technology, Learning Processes, Concept Formation
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Darejeh, Ali; Marcus, Nadine; Sweller, John – Educational Technology Research and Development, 2021
When novice users try to learn to use a software application that includes a variety of high element interactivity tools, the complex structure of the software can increase cognitive load and render the tools incomprehensible. Accordingly, there is a need for an efficient teaching approach that can provide practical knowledge to users while…
Descriptors: Educational Technology, Computer Software, Teaching Methods, Cognitive Processes
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Zheng, Xudong; Ma, Yunfei; Yue, Tingyan; Yang, Xianmin – Educational Technology Research and Development, 2023
The purpose of this study was to investigate the effects of different types of cues and self-explanation prompts in instructional videos on intrinsic motivation, learning engagement, learning outcomes, and cognitive load, which were indicators to measure deep learning performance. Seventy-two college students were randomly assigned to one of the…
Descriptors: Cues, Reflection, Prompting, Video Technology
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Sweller, John – Educational Technology Research and Development, 2020
Cognitive load theory provides instructional recommendations based on our knowledge of human cognition. Evolutionary psychology is used to assume that knowledge should be divided into biologically primary information that we have specifically evolved to acquire and biologically secondary information that we have not specifically evolved to…
Descriptors: Cognitive Processes, Difficulty Level, Educational Technology, Epistemology
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Elme, Liisalotte; Jørgensen, Maria L. M.; Dandanell, Gert; Mottelson, Aske; Makransky, Guido – Educational Technology Research and Development, 2022
The goal of the current study was to investigate the effects of an immersive virtual reality (IVR) science simulation on learning in a higher educational setting, and to assess whether using self-explanation has benefits for knowledge gain. A sample of 79 undergraduate biology students (40 females, 37 males, 2 non-binary) learned about…
Descriptors: Computer Simulation, Educational Technology, Technology Uses in Education, STEM Education
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Huang, Fang; Teo, Timothy; Zhou, Mingming – Educational Technology Research and Development, 2020
This large-scale study used the extended technology acceptance model to examine the different factors influencing Chinese university students' intentions to use the Internet-based technology with a learning focus. Specifically, the subject norm was conceptualised as a three-dimensional construct consisting of teacher influence, peer influence and…
Descriptors: Foreign Countries, Educational Technology, College Students, Internet
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Zhao, Shu; Kinshuk; Yao, Ying; Ya, Nan – Educational Technology Research and Development, 2021
Mobile social media are increasingly being used in education. They provide an effective way to address the imbalance between teaching supply and demand for older adults. However, few studies have investigated which factors contribute to older adults' intention to use mobile social media for learning. This study uses a sequential explanatory mixed…
Descriptors: Foreign Countries, Social Media, Telecommunications, Handheld Devices
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Sun, Yanyan; Gao, Fei – Educational Technology Research and Development, 2020
This study examines the relationships among intrinsic motivation, critical variables related to technology adoption, and students' behavioral intention in mobile-assisted language learning (MALL). To test the hypothesized model through a path analysis, 169 survey responses were collected from undergraduate students who were foreign language…
Descriptors: Student Motivation, Educational Technology, Technology Uses in Education, Intention
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Sánchez-Mena, Antonio; Martí-Parreño, José; Miquel-Romero, María José – Educational Technology Research and Development, 2019
Educational video games (EVGs) offer instructors a myriad of opportunities to motivate and engage students in the learning process. Nevertheless, instructors can be influenced by barriers that prevent them from using EVGs in their courses (e.g. lack of expertise with EVGs). Instructors can also be influenced by different drivers that might…
Descriptors: Video Games, Educational Technology, Technology Uses in Education, Teaching Methods
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Nebel, Steve; Schneider, Sascha; Beege, Maik; Kolda, Franziska; Mackiewicz, Valerie; Rey, Günter Daniel – Educational Technology Research and Development, 2017
Complex, multimedia software such as educational videogames offer a wide range of elements to modify learner behavior. The adjustment of such software might support learning, especially in complex settings like collaborative or cooperative scenarios. Coming from a theoretical background of educational psychology, our experiment seeks to implement…
Descriptors: Video Games, Educational Technology, Technology Uses in Education, Cooperative Learning
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Leslie, Kimberley Crompton; Low, Renae; Jin, Putai; Sweller, John – Educational Technology Research and Development, 2012
Two experiments using the science topics of Magnetism and Light were conducted with younger learners (Year 5) who had no prior knowledge of the topics, and older learners (Year 6) who had studied the topics previously. Half of the learners were presented the information in auditory form only while the other half were presented the auditory…
Descriptors: Expertise, Prior Learning, Redundancy, Age Differences
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Hatsidimitris, George; Kalyuga, Slava – Educational Technology Research and Development, 2013
Learning with instructional animations may overstretch limited working memory resources due to intense processing demands associated with transient information. The authors investigated whether explicit instructional advice coupled with a task-specific learner control mechanism (such as a timeline scrollbar) could facilitate the successful…
Descriptors: Animation, Computer Assisted Instruction, Prior Learning, Learner Controlled Instruction
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Pastore, Raymond S. – Educational Technology Research and Development, 2010
The purpose of this study was to examine the effects of diagrams and time-compressed instruction on learning and learners' perceptions of cognitive load. The following design factors, visuals (visuals and non-visuals) and time-compressed instruction (0%-normal paced, 25, and 50%) were presented to 216 university students to analyze learning in a…
Descriptors: Multimedia Materials, Multimedia Instruction, Achievement Tests, Time Factors (Learning)
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Erlandson, Benjamin E.; Nelson, Brian C.; Savenye, Wilhelmina C. – Educational Technology Research and Development, 2010
Educational multi-user virtual environments (MUVEs) have been shown to be effective platforms for situated science inquiry curricula. While researchers find MUVEs to be supportive of collaborative scientific inquiry processes, the complex mix of multi-modal messages present in MUVEs can lead to cognitive overload, with learners unable to…
Descriptors: Education Majors, Undergraduate Study, Cooperation, Cognitive Processes
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Beers, Pieter J.; Boshuizen, Henny P. A.; Kirschner, Paul A.; Gijselaers, Wim; Westendorp, Jochem – Educational Technology Research and Development, 2008
Many researchers use information and communications technology (ICT)-tools to augment learning in a great variety of tasks. Their effects are generally measured in terms of intended outcomes. This article argues for the use of additional, more general measures to obtain a more complete impression of the effects of ICT-tools. The first study…
Descriptors: Recall (Psychology), Information Technology, Telecommunications, Difficulty Level