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Reddick, Rachel – International Educational Data Mining Society, 2019
One significant challenge in the field of measuring ability is measuring the current ability of a learner while they are learning. Many forms of inference become computationally complex in the presence of time-dependent learner ability, and are not feasible to implement in an online context. In this paper, we demonstrate an approach which can…
Descriptors: Measurement Techniques, Mathematics, Assignments, Learning
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Chen, Weiyu; Joe-Wong, Carlee; Brinton, Christopher G.; Zheng, Liang; Cao, Da – International Educational Data Mining Society, 2018
Adaptive online courses are designed to automatically customize material for different users, typically based on data captured during the course. Assessing the quality of these adaptive courses, however, can be difficult. Traditional assessment methods for (machine) learning algorithms, such as comparison against a ground truth, are often…
Descriptors: Online Courses, Comparative Analysis, Statistics, Correlation