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Currently, many educational institutions are highly oriented to improve the quality of education and students? learning achievement-examination result. To fulfil such intention, predicting students? performance by analyzing their learning behavior is one of the best way can be taken into account. Once the performance was predicted, it will be easy for teachers, school authority or other related parties...
Bloom's Taxonomy describes the classification of learning into various domains. The "Cognitive domain" tries to separate learning process into different levels based on the ability of a person to think. This is very helpful to detect whether a given question is memory based or application based. The primary aim of this paper is to demonstrate the utilization of Bloom's Taxonomy to grade...
Concerning the limitations that the accuracy of predication is lower in the traditional model of movie box-office prediction and classification, this paper proposes a novel model of movie box-office revenue prediction. The model is based on the relationship of movie box-office and the user behaviors. The algorithm could be summarized as follows. Firstly, this paper uses the Latent Factor Model (LFM)...
Adaptive automation (AA) has emerged as a viable solution to improving human performance in complex environments. However, understanding when to prompt, pause, and terminate AA remains unclear. Augmenting the user with physiological sensors offers new insight into the user’s state, and thus, offers insight into when and how to implement AA. The research presented investigates the efficacy of prediction...
Linear regression and classification techniques are very common in statistical data analysis but they are often able to extract from data only linear models, which can be a limitation in real data context. Aim of this study is to build an innovative procedure to overcome this defect. Initially, a multiple linear regression analysis using the best-subset algorithm was performed to determine the variables...
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