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Wang, Fei; Huang, Zhenya; Liu, Qi; Chen, Enhong; Yin, Yu; Ma, Jianhui; Wang, Shijin – IEEE Transactions on Learning Technologies, 2023
To provide personalized support on educational platforms, it is crucial to model the evolution of students' knowledge states. Knowledge tracing is one of the most popular technologies for this purpose, and deep learning-based methods have achieved state-of-the-art performance. Compared to classical models, such as Bayesian knowledge tracing, which…
Descriptors: Cognitive Measurement, Diagnostic Tests, Models, Prediction
Bradshaw, Laine; Levy, Roy – Educational Measurement: Issues and Practice, 2019
Although much research has been conducted on the psychometric properties of cognitive diagnostic models, they are only recently being used in operational settings to provide results to examinees and other stakeholders. Using this newer class of models in practice comes with a fresh challenge for diagnostic assessment developers: effectively…
Descriptors: Data Interpretation, Probability, Classification, Diagnostic Tests
Nicolaou, Christiana T.; Nicolaidou, Iolie; Zacharia, Zacharias; Constantinou, Constantinos P. – Journal of Computers in Mathematics and Science Teaching, 2007
This article reports on a research effort that investigated whether the use of Microcomputer-Based Labs (MBLs), implemented within an inquiry-based activity sequence on phase transformations (melting and freezing), contributes to the development of fourth grade (9-10 year-old) students' conceptual understanding and ability to construct and…
Descriptors: Grade 4, Experimental Groups, Control Groups, Concept Formation

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