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Showing 1 to 15 of 62 results Save | Export
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Luo, Zhenzhen; Zheng, Chaoyu; Gong, Jun; Chen, Shaolong; Luo, Yong; Yi, Yugen – Education and Information Technologies, 2023
Learning interest affects the way of learning and its process, which is an important factor that affects the learning effect. At present, students' learning interest in a teaching environment is mainly based on a traditional questionnaire or case analysis, which is not conducive for teachers to promptly access students' interest in class to…
Descriptors: Student Interests, Artificial Intelligence, Attention, Psychological Patterns
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Yao, Shenghui; Xie, Lifen; Chen, Yiji – Education and Information Technologies, 2023
To explore the effect of active social media use (ASMU) on the mechanisms of flow experience (FE), 433 questionnaires incorporating an active social media use scale, academic self-efficacy (ASE) scale, and flow experience scale were collected from college students. This study is expected to enrich flow experience theory and provide a foundation…
Descriptors: College Students, Social Media, Self Efficacy, Academic Achievement
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Liping Deng; Yujie Zhou; Jaclyn Broadbent – Education and Information Technologies, 2024
As digital devices become ubiquitous in learning contexts, they have become the main source of distraction that leads to distractive multitasking. This underscores the growing importance of self-regulated learning as a means of combating distraction and persisting in learning. This study aims to bridge the perspectives of self-regulation and…
Descriptors: Attention, Self Management, College Students, Foreign Countries
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Luo, Zhenzhen; Jingying, Chen; Guangshuai, Wang; Mengyi, Liao – Interactive Learning Environments, 2022
A student's interest level can strongly affect the learning process, and thus, can be considered an important factor in the effort to improve learning. Presently, student interest is primarily assessed by administering questionnaires or conducting case analyses. However, this method cannot provide timely feedback in the learning environment to…
Descriptors: Student Interests, Technology Uses in Education, Models, Attention
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Blanco, Ivan; Boemo, Teresa; Martin-Garcia, Oscar; Koster, Ernst H. W.; De Raedt, Rudi; Sanchez-Lopez, Alvaro – Cognitive Research: Principles and Implications, 2023
The aim of the present research was to develop and test the efficacy of a novel online contingent attention training (i.e., OCAT) to modify attention and interpretation biases, improve emotion regulation, and reduce emotional symptom levels in the face of major stressors. Two proof-of-principle studies were carried out. In study 1, 64…
Descriptors: Attention, Training, Bias, Cognitive Processes
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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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Ingram, Joanne; Hand, Christopher J.; Maciejewski, Greg – Applied Cognitive Psychology, 2021
Studies examining the effect of social isolation on cognitive function typically involve older adults and/or specialist groups (e.g., expeditions). We considered the effects of COVID-19-induced social isolation on cognitive function within a representative sample of the general population. We additionally considered how participants 'shielding'…
Descriptors: Social Isolation, COVID-19, Pandemics, Cognitive Processes
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Qin Sun; David S. Ackerman; Ning Fu – Marketing Education Review, 2024
This study examined the impact of student engagement on satisfaction with an undergraduate marketing research course. Student engagement consisted of three dimensions in this study, namely physical engagement, emotional engagement, and cognitive engagement. Flow theory was used to examine the potential impact of the disruption of student learning…
Descriptors: Learner Engagement, Student Satisfaction, Undergraduate Study, Marketing
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Hong, Jon-Chao; Liu, Xiaohong; Cao, Wei; Tai, Kai-Hsin; Zhao, Li – Educational Technology & Society, 2022
With the outbreak of COVID-19, more online learning has been adopted for distance learning. However, the effectiveness of online learning for those students engaged in it for the first time has not been discussed. This study aims to investigate perceived ineffectiveness of online learning and its antecedents related to cognitive and affective…
Descriptors: Self Efficacy, Electronic Learning, Psychological Patterns, Instructional Effectiveness
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Juárez-Varón, David; Bellido-García, Isabel; Gupta, Brij-B. – Comunicar: Media Education Research Journal, 2023
The aim of this work is to register and analyse, using neurotechnology, in onsite onsite and online university educational context, the effect on relevant variables in the learning process. This represents an innovation in the current academic literature in this field. In this study, neuroscience technology has been used to measure the cognitive…
Descriptors: Higher Education, Stress Variables, Attention, Learner Engagement
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Hopman, Rachel J.; LoTemplio, Sara B.; Scott, Emily E.; McKinney, Ty L.; Strayer, David L. – Cognitive Research: Principles and Implications, 2020
Exposure to environments that contain natural features can benefit mood, cognition, and physiological responses. Previous research proposed exposure to nature restores voluntary attention -- attention that is directed towards a task through top down control. Voluntary attention is limited in capacity and depletes with use. Nature provides unique…
Descriptors: Physical Environment, Urban Environment, Environmental Influences, Natural Resources
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Persson, Roland S. – International Journal for Talent Development and Creativity, 2021
The significance of illusion as a positive force in everyday life has been underestimated in both societal discourse and in empirical science. The objective of this study is to provide a synthesis of many academic disciplines' understanding of illusion and reality by proposing a taxonomy of functional and dysfunctional subjective realities as…
Descriptors: Psychosis, Misconceptions, Cognitive Processes, Creativity
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Lüdeke, Sören; Przibilla, Bodo; Linderkamp, Friedrich – International Journal of School & Educational Psychology, 2023
Children with externalizing behavior problems are likely to show poor school achievements, problems in social interactions with teachers and peers and an elevated school-related stress. Though class climate is a meaningful variable to explain school achievements and aspects of emotional well-being, there are hardly any studies that consider class…
Descriptors: Elementary School Students, Behavior Problems, Antisocial Behavior, Classroom Environment
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Duijzer, Carolien; Van den Heuvel-Panhuizen, Marja; Veldhuis, Michiel; Doorman, Michiel; Leseman, Paul – Educational Psychology Review, 2019
Embodied learning environments have a substantial share in teaching interventions and research for enhancing learning in science, technology, engineering, and mathematics (STEM) education. In these learning environments, students' bodily experiences are an essential part of the learning activities and hence, of the learning. In this systematic…
Descriptors: Cognitive Processes, Human Body, STEM Education, Motion
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Cross Francis, Dionne; Eker, Ayfer; Liu, Jinqing; Lloyd, Kemol; Bharaj, Pavneet – Journal of Mathematics Teacher Education, 2022
In this study, we investigated the relationship between teachers' post-instruction noticing (PIN) and the quality of their mathematics instruction. We analyzed the conversations of elementary teachers around five coached lessons and scored their level of post-instruction noticing and the mathematical quality of the instruction of the lesson. We…
Descriptors: Elementary School Teachers, Mathematics Instruction, Attention, Instructional Effectiveness
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