In the recent years, diagnosing students’ learning problems after testing and providing learning suggestions for them are an important research issue. Many studies have been conducted to develop a method for analyzing learning barriers of students such that helpful learning suggestions or guidance can be provided based on the analysis results. In this paper, we present a new procedure for integ...

conclusions according to the results, male students preferred to use the kinesthetic learning style more than females, while, female students preferred the aural learning style. knowledge about the learning styles of students at educational institutes is valuable and helps solve learning problems among students, and allows students to become better learners. results out of 184 participants who ...

Modular learning, inspired by divide and conquer, learns a large number of localized simple concepts (classiiers or function approximators) as against single complex global concept. As a result, modular learning systems are eecient in learning and eeective in generalization. In this work, a general model for modular learning systems is proposed whereby, specialization and localization is induce...

Along with the progress of information and communication technologies (ICT) the use of web-based instruction (WBI) is also becoming popular tool as an education resources by the. Instructors are using WBIs as a tool for delivering and distributing the learning content. In support of web based learning, a tool AlgoWBIs is developed for algorithm learning and evaluated by the various experts. Exp...

Recently, testing and diagnostic learning systems have been considered as a useful tool for analyzing students’ learning problems and giving helpful learning suggestions to them to improve their learning performance. Among the existing methods, a multi-expert approach has introduced a set of rules to integrate test item-concept relationship opinions given by multiple experts. However, when inte...

Existing machine-learning work has shown that algorithms can benefit from curricula—learning first on simple examples before moving to more difficult examples. While most existing work on curriculum learning focuses on developing automatic methods to iteratively select training examples with increasing difficulty tailored to the current ability of the learner, relatively little attention has be...

Increasingly, in our everyday lives, we rely on our ability to access and understand complex information. Just as the search engine played a key role in helping people access relevant information, there is evidence that the next generation of information tools will provide users with a greater ability to analyse and make sense of large amounts of raw data. Visualization technologies are set to ...

Discriminative models such as logistic regression profit from the ability to incorporate arbitrary rich features; however, complex dependencies among overlapping features can often result in weight undertraining. One popular method that attempts to mitigate this problem is logarithmic opinion pools (LOP), which is a specialized form of product of experts model that automatically adjusts the wei...

In many multiagent systems, agents need to negotiate amongst themselves in order to reach agreements. In such systems, agents (or the users they represent) often have private preferences about the negotiation. For instance, agents may have strong preferences for some outcomes over others, and preferences about how the negotiation is conducted. In a multiagent system, without a centralized contr...

Compliant control is a standard method for performing fine manipulation tasks, like grasping and assembly, but it requires estimation of the state of contact (s.o.c.) between the robot arm and the objects involved. Here we present a method to learn a model of the movement from measured data. The method requires little or no prior knowledge and the resulting model explicitly estimates the s.o.c....