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This paper assesses the potential of one approach to predicting student performance in an introductory computer science class using information about students' preparation, attitudes and study habits. An expert system has been utilized for this purpose. The expert system accepts data related to seven different categories of preparation, belief and attitude and, through the partial activation of multiple...
An introductory artificial intelligence course may represent the first subject exposure for many students. Prior to taking this course, students may have formed perceptions regarding the difficulty of artificial intelligence from books, television, movies and other media featuring extrapolations of the technology. This paper analyzes what effects student perceptions of their ability to succeed in...
Navigation systems for drivers tend to vocalize what they want, when they want. Drivers who need to clarify instructions are often required to read directions in text form, which is a safety risk during real-time control. Instead, we investigate how a two-way-audio command interface might work. Data is easily extracted from text directions so that questions can be answered without knowledge of the...
In this paper, an overview on existing data mining techniques for time series modeling and analysis will be provided. Classification of available literature on time series data mining shows that the main research orientations can be divided into three subfields: Dimensionality Reduction (Time Series Representation), Similarity Measures and Data Mining Tasks.
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