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Lin, Xiao-Fan; Wang, Jing; Chen, Yingshan; Zhou, Yue; Luo, Guoyu; Wang, Zhaoyang; Liang, Zhong-Mei; Hu, Xiaoyong; Li, Wenyi – Educational Technology & Society, 2023
Computational thinking (CT) is an imperative competency in the 21st century. Mindtools can assist students in understanding concepts and decomposing tasks during CT development through programming. However, students may encounter challenges in complex CT problem-solving tasks due to being confused when using mindtools without proper guidance.…
Descriptors: Reflection, Academic Achievement, Student Behavior, Computation
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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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Liew, Tze Wei; Tan, Su-Mae – Educational Technology & Society, 2016
The Cognitive-Affective Theory of Learning with Media framework posits that the multimedia learning process is mediated by the learner's mood. Recent studies have shown that positive mood has a facilitating effect on multimedia learning. Though literature has shown that negative mood encourages an individual to engage in a more systematic,…
Descriptors: Schemata (Cognition), Transfer of Training, Psychological Patterns, Programming
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Heo, Misook; Chow, Anthony – Educational Technology & Society, 2005
The purpose of the study was to investigate the impact of an experimental online learning tool on student performance. By applying cognitive load theory to online learning, the experimental tool used was designed to minimize cognitive load during the instructional and learning process. This tool enabled students to work with programming code that…
Descriptors: Feedback (Response), Control Groups, Graduate Students, Online Courses