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Tracking the Development of L2 Reading Subskills Using Longitudinal Cognitive Diagnosis Models
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Huilin Chen; Zhiqing Lin; Qipeng Chen; Peida Zhan – Language Assessment Quarterly, 2025
Because of the need to provide fine-grained longitudinal diagnostic feedback, longitudinal cognitive diagnosis is an emerging approach that integrates cross-sectional cognitive diagnosis models (CDM) with longitudinal data analysis techniques. By adopting the generalized longitudinal higher-order log-linear CDM, this study attempted to track the…
Descriptors: Longitudinal Studies, Diagnostic Tests, Clinical Diagnosis, Reading Skills
Integrating Mastery Adaptive and Problem-Solving (MAPS) Digital Technology Skills into a Thai Community College Student Learning Model
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Thiyaporn Kantathanawat; Anyamanee Ussarn; Mai Charoentham; Paitoon Pimdee – Educational Process: International Journal, 2025
Background/purpose: The increasing integration of digital technology in education underscores the need for instructional models that support personalized, skill-based, and problem-solving focused learning. While traditional pedagogies often fail to address these needs comprehensively, this study proposes that the Mastery Adaptive Problem-Solving…
Descriptors: Educational Technology, Technology Uses in Education, Problem Solving, Mastery Learning
Integrating 4C/ID Model into Computer-Supported Formative Assessment System to Improve the Effectiveness of Complex Skills Training for Vocational Education
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Haoxin Xu; Tianrun Deng; Xianlong Xu; Xiaoqing Gu; Lingyun Huang; Haoran Xie; Minhong Wang – Education and Information Technologies, 2025
In the 21st century, the urgent educational demand for cultivating complex skills in vocational training and learning is met with the effectiveness of the four-component instructional design model. Despite its success, research has identified a notable gap in the address of formative assessment, particularly within computer-supported frameworks.…
Descriptors: Models, Instructional Design, Computer Assisted Testing, Formative Evaluation
Profiling the Skill Mastery of Introductory Programming Students: A Cognitive Diagnostic Modeling Approach
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Manuel B. Garcia – Education and Information Technologies, 2025
The global shortage of skilled programmers remains a persistent challenge. High dropout rates in introductory programming courses pose a significant obstacle to graduation. Previous studies highlighted learning difficulties in programming students, but their specific weaknesses remained unclear. This gap exists due to the predominant focus on the…
Descriptors: Programming, Introductory Courses, Computer Science Education, Mastery Learning