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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
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
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
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
Shang, Hui-Fang – Interactive Learning Environments, 2022
Previous studies have been done to research the effects of different electronic feedback (e-feedback) modes of helping English as a foreign language (EFL) students improve their writing. The purpose of this study was to employ online peer feedback (OPF) and automated corrective feedback (ACF) to assess EFL learners' writing performance in the…
Descriptors: Computer Mediated Communication, Peer Evaluation, Feedback (Response), Automation
Chen, Chia-Chen; Huang, Po-Hao – Interactive Learning Environments, 2023
In order to explore whether STEAM education in combination with elementary school curriculums can help students' learning performance, this study developed a digital learning system. This digital learning system combined STEAM concepts with elements of gamebased learning. This study developed the curriculum content based on the unit of…
Descriptors: Art Education, STEM Education, Electronic Learning, Handheld Devices
Premlatha, K. R.; Dharani, B.; Geetha, T. V. – Interactive Learning Environments, 2016
E-learning allows learners individually to learn "anywhere, anytime" and offers immediate access to specific information. However, learners have different behaviors, learning styles, attitudes, and aptitudes, which affect their learning process, and therefore learning environments need to adapt according to these differences, so as to…
Descriptors: Electronic Learning, Profiles, Automation, Classification
Chu, Hui-Chun; Chen, Jun-Ming; Tsai, Chieh-Lun – Interactive Learning Environments, 2017
Mathematics has been widely recognized as being challenging for most students. In this study, an online formative peer-tutoring approach was proposed to cope with this problem, and an online learning system was developed accordingly. To evaluate the effectiveness of the proposed approach, an experiment was conducted to explore its effects on…
Descriptors: Peer Teaching, Tutoring, Electronic Learning, Student Behavior
Al-Samarraie, Hosam; Selim, Hassan; Teo, Timothy; Zaqout, Fahed – Interactive Learning Environments, 2017
When faced with excessive detail in an online environment, typical users have difficulty processing all the elements of representation. This in turn creates cognitive overload, which narrows the user's focus to a few select items. In the context of e-learning, we translated this aspect as the learner's demand for a system that facilitates the…
Descriptors: Foreign Countries, Undergraduate Students, Instructional Design, Online Courses
Lin, Hao-Chiang Koong; Chen, Mei-Chi; Chang, Chih-Kai – Interactive Learning Environments, 2015
This study integrates augmented reality (AR) technology into teaching activities to design a learning system that assists junior high-school students in learning solid geometry. The following issues are addressed: (1) the relationship between achievements in mathematics and performance in spatial perception; (2) whether system-assisted learning…
Descriptors: Geometry, Secondary School Mathematics, Instructional Effectiveness, Mathematics Instruction
Chen, Min; Yu, Sheng Quan; Chiang, Feng Kuang – Interactive Learning Environments, 2017
Most ubiquitous learning researchers use resource recommendation and retrieving based on context to provide contextualized learning resources, but it is the kind of one-way context matching. Learners always obtain fixed digital learning resources, which present all learning contents in any context. This study proposed a dynamic ubiquitous learning…
Descriptors: Electronic Learning, Educational Technology, Instructional Materials, Models
Hsu, Ching-Kun; Hwang, Gwo-Jen – Interactive Learning Environments, 2014
Personal computer assembly courses have been recognized as being essential in helping students understand computer structure as well as the functionality of each computer component. In this study, a context-aware ubiquitous learning approach is proposed for providing instant assistance to individual students in the learning activity of a…
Descriptors: Electronic Learning, Educational Technology, Comparative Analysis, Conventional Instruction
Liu, Han-Chin; Chuang, Hsueh-Hua – Interactive Learning Environments, 2011
This study investigated how the format of verbal instructions in computer simulations and prior knowledge (PK) affected 8th graders' cognitive load (CL) level and achievement in a multimedia learning environment. Although PK was not found to significantly affect student performance and CL level, instruction format was found to impact both.…
Descriptors: Electronic Learning, Instructional Design, Prior Learning, Grade 8