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Title:      IDENTIFYING PROBLEM-SOLVING PROFILES TO INFORM SCAFFOLDING IN DIGITAL PROBLEM-SOLVING ENVIRONMENTS
Author(s):      Jorgen Ivar Sikk and Kairit Tammets
ISBN:      978-989-8704-72-6
Editors:      Demetrios G. Sampson, Dirk Ifenthaler and Pedro Isaías
Year:      2025
Edition:      Single
Keywords:      Problem-Solving Skills, Technology-Enhanced Learning, Student Profiles, Digital Learning Resources
Type:      Full Paper
First Page:      275
Last Page:      282
Language:      English
Cover:      cover          
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Paper Abstract:      This study investigates the development of students' problem-solving skills in technology-enhanced learning (TEL) environments, focusing on the interplay between domain knowledge, metacognitive strategies, and fading scaffolding. Through a design-based research approach, we engaged three eighth-grade classes (N=75) in a physics-based troubleshooting scenario delivered via an H5P-integrated digital platform, collecting performance data, metacognitive ratings, and process analytics. Cluster analysis of MAPS rubric scores revealed three distinct learner profiles—Expert, Novice, and Struggling—which differed significantly across all problem-solving dimensions (p < .001). Experts demonstrated integrated knowledge and adaptive strategies, excelling in both domain-specific application and logical progression, while Novices showed scaffold dependency and Struggling students exhibited fragmented knowledge structures. Domain knowledge emerged as the strongest predictor of problem-solving success, especially for complex tasks, with knowledge gain playing a secondary role. Metacognitive planning and monitoring were most influential among Experts, explaining 43% of variance in their problem-solving skills, but were less predictive for Novices and Struggling students. Our findings demonstrate that combining process-oriented analytics with cognitive and metacognitive measures enables early identification of learner needs and supports the design of adaptive, technology-enhanced instructional systems that foster meaningful learning across diverse student profiles.
   

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