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Showing 1 to 15 of 65 results Save | Export
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Mutlu-Bayraktar, Duygu; Ozel, Pinar; Altindis, Fatih; Yilmaz, Bulent – Interactive Learning Environments, 2023
The aim of this study is to compare subjective and objective cognitive load measurements in a multimedia learning environment. For this purpose, 20 university students studied in multimedia environments designed by researchers during which eye movements and multichannel electroencephalography (EEG) signals were recorded. Self-report ratings were…
Descriptors: Cognitive Processes, Difficulty Level, Multimedia Instruction, Eye Movements
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Pinar Ozel; Duygu Mutlu-Bayraktar; Tugba Altan; Veysel Coskun; Ali Olamat – Interactive Learning Environments, 2023
This study aims to conduct a systematic review of studies on neuroimaging measurements used in multimedia learning research. The particular aim of the review is to explore how cognitive processes in multimedia learning are studied with relevant variables through neuroimaging technology. Studies that met the inclusive criteria were selected and…
Descriptors: Cognitive Processes, Difficulty Level, Multimedia Instruction, Multimedia Materials
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Costley, Jamie; Lange, Christopher – Interactive Learning Environments, 2023
The use of e-learning personalization allows learners to control their learning by choosing which content to process and how to process it. In order to explain the processes that occur when students use e-learning personalization, this study looks at how it interacts with two other variables: sequencing and fading, a scaffolding technique where…
Descriptors: Electronic Learning, Individualized Instruction, Cognitive Processes, Difficulty Level
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Chi-Cheng Chang; Tseng-Chuan Chen – Interactive Learning Environments, 2024
This study aims to explore how e-textbooks with emotional design affect students' emotion, cognitive load and learning achievement. There were 147 freshman students in total: the experimental group I, II and control group consisted of 49, 47 and 51 students, using e-textbooks with emotional design, without emotional design and traditional paper…
Descriptors: Electronic Books, Technology Uses in Education, Handheld Devices, College Freshmen
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Ünal Çakiroglu; Seval Bilgi – Interactive Learning Environments, 2024
The aim of this explanatory study is to identify the causes of intrinsic cognitive load in programming process. For this purpose, a method based on two dimensions; programming knowledge types (syntactic, semantic, and strategic) and programming constructs was proposed. The proposed method was tested with high school students enrolled in Computer…
Descriptors: Cognitive Processes, Difficulty Level, Programming, Interaction
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Winters, Scarlett; Farnsworth, Kimberly; Berry, Douglas; Ellard, Susan; Glazewski, Krista; Brush, Thomas – Interactive Learning Environments, 2023
This study used an explanatory mixed methods research design to examine the scaffolding strategies of middle school teachers during a design problem-based learning (PBL) unit. Both quantitative and qualitative techniques were used in data collection and analysis, and the findings were integrated for interpretation. Our analysis of classroom…
Descriptors: Middle School Students, Problem Based Learning, Classroom Observation Techniques, Cognitive Structures
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Lee, Yuan-Hsuan; Hong, Huang-Yao – Interactive Learning Environments, 2023
This study investigated multimodal multiple text comprehension (MMTC) among forty-eight Taiwanese university students, considering their cognitive and affective characteristics. A randomized trial with pre- and post-tests design was applied. The experiment group received a browser-embedded note-taking device along with epistemic prompting. The…
Descriptors: Foreign Countries, College Students, Reading Comprehension, Individual Differences
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Yilmaz, Rabia M. – Interactive Learning Environments, 2023
In this study, the effects of using cueing with a narrator in animations on science learning and cognitive load level of elementary students have been revealed. For this purpose, a quantitative research design is used in the study. 223 third grade students, 124 of them are girls and 99 of them are boys, have formed the sample. The results show…
Descriptors: Cues, Animation, Educational Media, Learning Processes
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Kai-Yi Chin; Ching-Sheng Wang – Interactive Learning Environments, 2024
This study developed a VR-based mobile learning system to simulate the natural environment of a geopark for university students to learn geological knowledge. This learning method used a Google cardboard equipped with smartphones, where students can watch stereoscopic scenes and experience virtual environments as if visiting the geopark. In order…
Descriptors: Foreign Countries, Computer Simulation, Handheld Devices, Geology
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Baichang Zhong; Siyu Su; Xiaofan Liu; Zehui Zhan – Interactive Learning Environments, 2023
Brief Summary: Technology-Based Embodied Learning (TBEL) is a hotspot in learning science. By systematically reviewing 49 SSCI journal articles, this paper revealed the relationship between any two of sample group, sample size, duration, subject distribution, research design, and measurement instrument, etc. In general, the major results showed…
Descriptors: Technology Uses in Education, Cognitive Processes, Comprehension, Skill Development
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Dongyu Yu; Xing Yao; Kaidi Yu; Dandan Du; Jinyi Zhi; Chunhui Jing – Interactive Learning Environments, 2024
The objective of this study was to determine the differential effects of the presentation position of the augmented reality--head worn display (AR-HWD) interface and the audiovisual-dominant multimodal learning material on learning performance and cognitive load across different learning tasks in training for high-speed train driving. We selected…
Descriptors: Artificial Intelligence, Computer Simulation, Computer Peripherals, Computer Interfaces
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Wu, Pengfei; Ma, Fengjuan; Yu, Shengquan – Interactive Learning Environments, 2023
A linked data approach provides new opportunities for annotating, interlinking, sharing and enriching massive open online educational resources. However, it can be difficult for non-expert users to build and utilize the educational linked data in educational settings. Thus, flexible and user-friendly ways to represent, interlink, visualize and…
Descriptors: Art Education, Design, Undergraduate Students, Student Motivation
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Jon-Chao Hong; Jhen-Ni Ye; Jian-Hong Ye; Ling-Wen Kung – Interactive Learning Environments, 2024
Attentional control theory indicates that concentration is considered an important variable that contributes to learning. There are some devices for players to practice their concentration, but there are few virtual reality (VR) designs which can increase the level of difficulty for students to discipline their mental concentration with…
Descriptors: Attention Control, Predictor Variables, Cognitive Processes, Difficulty Level
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Wan, Haipeng; Yu, Shengquan – Interactive Learning Environments, 2023
Most online learning researchers use resource recommendation and retrieve based on learning performance and learning style to provide accurate learning resources, but it is a closed and passive adaptive way. Learners always do not know the recommendation rationale and just receive the result-oriented recommended resources without having a chance…
Descriptors: Electronic Learning, Intelligent Tutoring Systems, Artificial Intelligence, Cognitive Mapping
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Costley, Jamie – Interactive Learning Environments, 2022
The purpose of this study was to build on the existing research into the relationships between collaboration and germane cognitive load in online learning environments. Where this study differs is the examination into the importance of the system functionality of online environments and its relationship to germane cognitive load and collaboration.…
Descriptors: Cooperative Learning, Foreign Countries, Cognitive Processes, Difficulty Level
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