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Wenjing Wang; Mengqi Xiong; Binbin Guo; Rongchuan Huang; Mengxue Li; Mengyao Li; Xue Feng; Tianyu Qin; Zixu Wei – Mind, Brain, and Education, 2025
Working memory is a hot topic in the field of cognitive neuroscience and has attracted the attention of many researchers in the field of education. In recent years, it has been found that the cognitive ability related to spatial information in working memory can positively affect STEM academic performance, which is highly important for educational…
Descriptors: Short Term Memory, Spatial Ability, Cognitive Ability, STEM Education
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Wenbin Zhou; Wenya Nan; Kaiwen Xiong; Yixuan Ku – npj Science of Learning, 2024
Neurofeedback (NF) training is a closed-loop brain training in which participants learn to regulate their neural activation. NF training of alpha (8-12 Hz) activity has been reported to enhance working memory capacity, but whether it affects the precision in working memory has not yet been explored. Moreover, whether NF training distinctively…
Descriptors: Participation, Short Term Memory, Visual Learning, Visual Stimuli
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Yufeng Ke; Shuang Liu; Long Chen; Xiashuang Wang; Dong Ming – npj Science of Learning, 2023
The neural basis for long-term behavioral improvements resulting from multi-session transcranial direct current stimulation (tDCS) combined with working memory training (WMT) remains unclear. In this study, we used task-related electroencephalography (EEG) measures to investigate the lasting neurophysiological effects of anodal high-definition…
Descriptors: Short Term Memory, Biofeedback, Stimulation, Brain
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Shemaila Saleem; Syed Hamid Habib – Journal of Autism and Developmental Disorders, 2024
Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by impaired social interaction, verbal and nonverbal communication, and behaviors or interests. Besides behavioral, psychopharmacological and biomedical interventions there is increasing evidence of non-invasive treatments like neurofeedback (NFB) that can improve brain…
Descriptors: Autism Spectrum Disorders, Children, Adolescents, Biofeedback
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Yi Zhang; Ke Xu; Yun Pan; Zhongling Pi; Jiumin Yang – Active Learning in Higher Education, 2025
The current study investigated the effects of segmentation design and drawing on college students' video learning. Participants were 158 college students randomly assigned to view either a segmented or continuous video lecture (video type: segmented vs continuous) and who either received instructed to draw while learning or no instructions at all…
Descriptors: College Students, Video Technology, Lecture Method, Eye Movements
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Ali Nouri – Review of Education, 2025
This paper presents a scoping review of the literature on educational neurotechnology, examining its types, methods, applications, opportunities and challenges. A total of 4236 articles were identified from PubMed, ScienceDirect, Scopus, Web of Science and ERIC, with 471 peer-reviewed studies selected and analysed following PRISMA guidelines and…
Descriptors: Educational Technology, Neurosciences, Brain, Biofeedback
Andrew Burleson – ProQuest LLC, 2024
Across three separate investigations, this dissertation documents work examining the role of higher-order processes and cognitive effort during the top-down compensatory repair of degraded speech, specifically perceptual restoration. Perceptual restoration is a phenomenon where a listener can perceptually restore or repair speech…
Descriptors: Critical Thinking, Linguistics, Cognitive Processes, Auditory Training
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Zhongling Pi; Xin Guo; Caixia Liu; Jiumin Yang – Active Learning in Higher Education, 2025
Students are often encouraged to explain recently-taught information to others to enhance their learning in various settings including face-to-face in the classroom, through text, or in educational videos. However, nearly all studies on the impact of explaining things to others have focused on the effects of explaining to a less-knowledgeable…
Descriptors: Peer Teaching, Prior Learning, Video Technology, Peer Relationship
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Dian Jiao – Learning: Research and Practice, 2025
Neurotechnology is increasingly transforming education with promising potential for providing tailored support for neurodivergent students. By utilizing electroencephalography (EEG), functional near-infrared spectroscopy (fNIRS), neurofeedback, and brain-computer interfaces (BCIs), these technologies enable real-time monitoring of students'…
Descriptors: Neurodevelopmental Disorders, Students with Disabilities, Technology Uses in Education, Brain