Animation is one of the useful contemporary educational technologies in teaching complex subjects. There is a growing interest in proper use of learner-technology interaction to promote learning quality for different groups of learner needs. The purpose of this study is to investigate if an interaction approach supports weak learners, who have poor domain knowledge and comprehension difficulty ...

The main goal of this doctoral research is to plan and to build statistic machine learning system for “traffic flow manage control” of urban area for a prediction of traffic flow problem. I also present a new algorithm for improving the accuracy of boosting algorithms for learning binary concepts, which will be used as statistics machine learning. This new algorithm is based on ideas presented ...

Boosting approaches are based on the idea that high-quality learning algorithms can be formed by repeated use of a “weak-learner”, which is required to perform only slightly better than random guessing. It is known that Boosting can lead to drastic improvements compared to the individual weak-learner. For two-class problems it has been shown that the original Boosting algorithm, called AdaBoost...

How do differences in prior conceptual knowledge affect the nature and rate of learning? To answer this question, we built a computational model of learning, called SimStudent, and conducted a controlled simulation study to investigate how learning a complex skill changes when the system is given “weak” domain-general vs. “strong” domain-specific prior knowledge. We measured SimStudent’s learni...

over the past 25 years, autonomy has been a popular focus for discussion and increasingly influential in foreign language educa- tion. most research is concentrated on learner autonomy, while teacher autonomy has been seriously neglected. recently, however, researchers and experts have realized that to enhance learner autonomy, we must enhance teacher autonomy (e.g., benson 2000; little 1995; l...

In this paper, a boosting-based incremental hybrid intrusion detection system is introduced. This system combines incremental misuse detection and incremental anomaly detection. We use boosting ensemble of weak classifiers to implement misuse intrusion detection system. It can identify new classes types of intrusions that do not exist in the training dataset for incremental misuse detection. As...

Learner autonomy has been described as the ultimate objective in many language teaching programs since the third quarter of the twentieth century and educators have highlighted the significant role of promoting learner autonomy in the process of language learning and teaching. However, only limited number of studies has been awarded to what leaner autonomy mean to teachers. This study addressed...