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Download full textMatayoshi, Jeffrey; Uzun, Hasan; Cosyn, Eric – International Educational Data Mining Society, 2022
Knowledge space theory (KST) is a mathematical framework for modeling and assessing student knowledge. While KST has successfully served as the foundation of several learning systems, recent advancements in machine learning provide an opportunity to improve on purely KST-based approaches to assessing student knowledge. As such, in this work we…
Descriptors: Knowledge Level, Mathematical Models, Learning Experience, Comparative Analysis
Liu, Xiufeng – 1994
Problems of validity and reliability of concept mapping are addressed by using item-response theory (IRT) models for scoring. In this study, the overall structure of students' concept maps are defined by the number of links, the number of hierarchies, the number of cross-links, and the number of examples. The study was conducted with 92 students…
Descriptors: Alternative Assessment, Computer Assisted Testing, Concept Mapping, Correlation
