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Thiyaporn Kantathanawat; Natarika Thongsomnuek; Mai Charoentham; Paitoon Pimdee – Educational Process: International Journal, 2025
Background/purpose. The increasing prevalence of digital tools in education necessitates models that enhance students' metacognitive skills. Despite this need, limited research exists on structured pedagogical approaches to foster metacognition within digital learning contexts. This study aimed to develop and evaluate the Cognitive Innovation…
Descriptors: Educational Technology, Technology Uses in Education, Metacognition, Skill Development
A Contextualized, Differential Sequence Mining Method to Derive Students' Learning Behavior Patterns
Kinnebrew, John S.; Loretz, Kirk M.; Biswas, Gautam – Journal of Educational Data Mining, 2013
Computer-based learning environments can produce a wealth of data on student learning interactions. This paper presents an exploratory data mining methodology for assessing and comparing students' learning behaviors from these interaction traces. The core algorithm employs a novel combination of sequence mining techniques to identify deferentially…
Descriptors: Data Analysis, Middle School Students, Information Retrieval, Student Behavior