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Fan, Yue; Lane, H. Chad; Delialioglu, Ömer – Educational Technology & Society, 2022
Due in part to its flexibility and open design, the video game Minecraft has emerged as a popular tool for teaching and learning. Inspired by prior research showing the influence of problem-solving mindsets in physical settings, this study is an effort to understand the extent to which an open-ended task influences subsequent problem-solving…
Descriptors: Creativity, Game Based Learning, Video Games, Problem Solving
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Ratnasari, Wiwit; Chou, Tzu-Chuan; Huang, Chen-Hao – Educational Technology & Society, 2023
The digital revolution has heavily influenced digital game-based learning, yet as the revolution progresses, the conception of such learning has shifted along with the increasing complexity of the digital environment. Our study thus aims to identify research standing at this important juncture and to explain the shift in digital game-based…
Descriptors: Educational Research, Citation Analysis, Network Analysis, Game Based Learning
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Xiao-Ming Wang; Wen-Qing Zhou; Gwo-Jen Hwang; Shi-Man Wang; Tong Huang – Educational Technology & Society, 2024
Knowing the factors affecting students' learning achievement in digital learning is a crucial educational issue nowadays. However, recent research has paid less attention to how an individual's internal factors (prior knowledge) influence their learning achievement through cognitive engagement, and previous studies generally employed students'…
Descriptors: Electronic Learning, Prior Learning, Cognitive Processes, Learner Engagement
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Mehmet Donmez; Kursat Cagiltay – Educational Technology & Society, 2024
This study investigated the design processes for developing eye training materials for children with low vision (CLV) using computer game applications based on eye movement tracking to enhance their vision skills. The primary aim was to create interactive eye training materials tailored to improve CLV's vision abilities. Employing a design-based…
Descriptors: Eye Movements, Visual Impairments, Parent Attitudes, Special Education Teachers
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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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Feng, Xuanqi; Yamada, Masanori – Educational Technology & Society, 2021
It is challenging to utilize learning analytic technologies to examine gameplay log data for game-embedded assessment in the field of game-based learning. Analytical approaches based on a new perspective focusing on complicated contextual data are imperative in the current scenario. A relatively new concept called precision education, which…
Descriptors: Learning Analytics, Behavior Patterns, Informal Education, Game Based Learning
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Chen, Si; Zhang, Sujing; Qi, Grace Yue; Yang, Junfeng – Educational Technology & Society, 2020
Game-based learning (GBL) has been widely recognised in research, and evidently benefited for learners. However, what GBL is perceived by teachers and learners has been a concern that might impact on quality of teaching and learning in the GBL environment. Game-based pedagogy meticulously designed from a teacher's perspective was regarded as…
Descriptors: Game Based Learning, Experienced Teachers, Instructional Design, Teacher Education
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Huang, Biyun; Hew, Khe Foon – Educational Technology & Society, 2021
A design-based study was conducted in iterative cycles to test the effectiveness of the updated goal-access-feedback-challenge-collaboration (updated-GAFCC) gamification design model. The test-bed was a 10-week undergraduate introductory information management course. Students from three consecutive school years participated in the study, with the…
Descriptors: Computer Games, Feedback (Response), Comparative Analysis, Undergraduate Students