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Showing 1 to 15 of 58 results Save | Export
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Shu-Ling Wang; John J. H. Lin; Pin-Chun Su – Educational Technology & Society, 2024
Although research suggests a relationship among personal characteristics, behaviors, and performance, there has been limited examination of these influences in the context of intelligence tests using eye movement techniques. Thus, this study explored the roles of personal characteristics (i.e., visual/verbal cognitive styles, self-efficacy) and…
Descriptors: Self Efficacy, Thinking Skills, Eye Movements, Cognitive Style
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Chen, Liwen – Educational Technology & Society, 2023
The aim of this Q-study was to identify and categorize learners' learning styles and preferences with regard to the incorporation of gamification-enhanced activities in a partially flipped gamified classroom during a Taiwan university eighteen week's Introduction to Marketing course. Q-methodology was used because it identifies assorted viewpoints…
Descriptors: Cognitive Style, Flipped Classroom, Teaching Methods, Q Methodology
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Samarakou, Maria; Tsaganou, Grammatiki; Papadakis, Andreas – Educational Technology & Society, 2018
Technology-mediated learning is very actively and widely researched, with numerous e-learning environments designed for different educational purposes developed during the past few decades. Still, their organization and texts are not structured according to any theory of educational comprehension. Modern education is even more flexible and, thus,…
Descriptors: Electronic Learning, Cognitive Style, Educational Theories, Teaching Methods
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Anna Y. Q. Huang; Jei Wei Chang; Albert C. M. Yang; Hiroaki Ogata; Shun Ting Li; Ruo Xuan Yen; Stephen J. H. Yang – Educational Technology & Society, 2023
To improve students' learning performance through review learning activities, we developed a personalized intervention tutoring approach that leverages learning analysis based on artificial intelligence. The proposed intervention first uses text-processing artificial intelligence technologies, namely bidirectional encoder representations from…
Descriptors: Academic Achievement, Tutoring, Artificial Intelligence, Individualized Instruction
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Chuang, Tsung-Yen; Yeh, Martin K.-C.; Lin, Yu-Lun – Educational Technology & Society, 2021
Students with different cognitive styles benefit from different instructional strategies, including learning through playing video games. Although playing video games can be an effective learning method, we do not know its impact on the reasoning ability of students with different cognitive styles. The purposes of this study are to investigate…
Descriptors: Game Based Learning, Video Games, Computer Games, Puzzles
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Li, Wei; Chiu, Chuang-Kai; Tseng, Judy C. R. – Educational Technology & Society, 2019
In context-aware ubiquitous learning, the learning resources of the learning environment are limited, and the learners need to frequently move between learning targets. Therefore, how to provide appropriate learning paths for students in the real world is essential in context-aware ubiquitous learning. In this study, a personalized navigation…
Descriptors: Cognitive Style, Navigation, Electronic Learning, Educational Technology
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Huang, Tien-Chi; Chen, Mu-Yen; Hsu, Wen-Pao – Educational Technology & Society, 2019
Augmented reality (AR) technology has recently been applied to outdoor learning in an attempt to overcome the drawbacks associated with traditional teaching environments. This study conducted an experiment designed to examine how augmented reality (AR) technology in mobile devices can be used to generate virtual objects to create a context-aware,…
Descriptors: Simulated Environment, Computer Simulation, Educational Technology, Technology Uses in Education
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Wang, Chao; Lu, Hong – Educational Technology & Society, 2018
This study focused on the effect of examinees' ability levels on the relationship between Reflective-Impulsive (RI) cognitive style and item response time in computerized adaptive testing (CAT). The total of 56 students majoring in Educational Technology from Shandong Normal University participated in this study, and their RI cognitive styles were…
Descriptors: Item Response Theory, Computer Assisted Testing, Cognitive Style, Correlation
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Hsu, Ting-Chia; Chang, Shao-Chen; Liu, Nan-Cen – Educational Technology & Society, 2018
This study employed an eye-tracking machine to record the process of peer assessment. Each web page was divided into several regions of interest (ROIs) based on the frame design and content. A total of 49 undergraduate students with a visual learning style participated in the experiment. This study investigated the peer assessment attitudes of the…
Descriptors: Eye Movements, Measurement, Peer Evaluation, Web Sites
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López-Vargas, Omar; Ibáñez-Ibáñez, Jaime; Racines-Prada, Oswaldo – Educational Technology & Society, 2017
The present research's objective is to examine the effects of metacognitive scaffolding and cognitive style in the Field Dependence-Independence (FDI) dimension on cognitive load (CL) and learning achievement (LA) in high school students, when they interact with a hypermedia environment on philosophy (logic). Fifty-four students belonging to two…
Descriptors: High School Students, Metacognition, Cognitive Style, Difficulty Level
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Chen, Zhi-Hong; Chen, Sherry Y.; Chien, Chih-Hao – Educational Technology & Society, 2017
Game-based learning comprises of a set of concrete scenarios, which can be presented with various presentation modalities (e.g., text, text with graphic, and context). Such presentation modalities disseminate information in different ways. On the other hand, cognitive styles affect how people process information. Accordingly, the study presented…
Descriptors: Foreign Countries, Undergraduate Students, Student Attitudes, Educational Games
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Ho, Shu-Chun; Hsieh, Sheng-Wen; Sun, Pei-Chen; Chen, Cheng-Ming – Educational Technology & Society, 2017
The increasing advance of mobile devices and wireless technologies has generated great interest in ubiquitous learning (u-learning) among academia, practitioners, and policy makers. However, design elements that incorporate learning styles and learning strategies into u-learning system applications in English as a Foreign Language (EFL) education…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Cognitive Style
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Mahnane, Lamia – Educational Technology & Society, 2017
In this paper, we show how data mining algorithms (e.g. Apriori Algorithm (AP) and Collaborative Filtering (CF)) is useful in New Social Network (NSN-AP-CF). "NSN-AP-CF" processes the clusters based on different learning styles. Next, it analyzes the habits and the interests of the users through mining the frequent episodes by the…
Descriptors: Social Networks, Pretests Posttests, Cognitive Style, College Students
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Yang, Hui-Yu – Educational Technology & Society, 2016
The present study examines how various types of attention cueing and cognitive preference affect learners' comprehension of a cardiovascular system and cognitive load. EFL learners were randomly assigned to one of four conditions: non-signal, static-blood-signal, static-blood-static-arrow-signal, and animation-signal. The results indicated that…
Descriptors: Foreign Countries, Attention, Cues, Visualization
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Chen, Sherry Y.; Yeh, Chia-Chi – Educational Technology & Society, 2017
Various hints have been proposed to scaffold students. Such hints can be broadly divided into direct hints and indirect hints. On the other hand, individual differences existed among learners. In particular, cognitive styles greatly affect student learning. However, there is a lack of studies to investigate how cognitive styles affect students'…
Descriptors: Cognitive Style, Language Usage, English for Academic Purposes, English (Second Language)
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