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Blending Computational Thinking and Learner-Paced Segment: Content Expert Evaluation of Digital Video Courseware Development
Abstract
This study explores the development and implementation of digital video courseware (DVC) combining computational thinking (CT) and segmentation techniques to enhance educational outcomes. Segmentation, particularly self-explanation, improves engagement and achievement, while system-paced segmentation reduces cognitive load for novices, boosting retention. The courseware fosters CT skills like algorithmic thinking and supports learner-paced flexibility for better information processing. Content experts evaluated its design, pedagogical relevance, and CT alignment. Results highlight improved understanding, retention, and performance, offering insights for advancing learner-centered education through CT integration and adaptive pacing.
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