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Restricted Bayesian network is an efficient classification model. However, so far some researchers still attempt to improve the performance by considering directions of edges, because traditional learning method merely takes into account log likelihood, which is not suitable for learning classifiers, when learning a tree topological structure. In this paper, we analyze the search spaces and the equivalent...
Assessing scientific inquiry skills in INQPRO, a scientific inquiry learning environment developed in this research work, presents two major challenges: (i) identifying a set of important features from a series of student interactions for assessment of scientific inquiry skills is difficult. Such difficulty stemmed not only because there exists ways a student interacts with the scientific inquiry...
This study uses data envelopment analysis and Bayesian networks in e-learning systems evaluation and classification, respectively. By maximizing the weighted summed-outputs-to-weighted-summed-inputs ratio, we obtain the scores of individual as well as groups of reviewers from relative efficiency perspectives. The efficiencies are used as training data to construct the classification model for further...
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