A dual-process model for recall is described, which is based on an architecture for the inductive learning of symbolic categories. The dual-process mechanism (generate-and-recognize) is shown to follow directly as a consequence of the inductive learning method used.

With a number of students, the purpose of collaborative learning is to assign these students to the right teams so that the promotion of skills of each team member can be facilitated. Although some team formation solutions have been proposed, the problem of extracting more effective features to describe the skill proficiency of students for better collaborative learning is still open. To that e...

This paper describes a naturalistic approach to the development of a large-scale, functional, cognitively plausible model of language comprehension, and contrasts the approach with mainstream cognitive modeling and computational linguistic research. An approach to research is described which accepts the theoretical constraints of a cognitive architecture, while replacing the fine-grained empiri...

Effective technologies for learning and doing mathematics should be based on sound cognitive theory, be empirically tested against alternatives, and be primarily addressed at mathematics as a modeling language. I will discuss the status and promise of researchbased "intelligent" systems that support students in mathematical modeling and tool use. Such systems are beginning to reshape the mathem...

Background: Love trauma syndrome includes a set of symptoms manifesting after the end of an emotional relationship and negatively affecting performance in various areas. Objectives: The current study aimed at determining the effect of object relations mediated by cognitive emotion regulation on the prediction of love trauma syndrome in female students. Methods: The correlation-based structura...

In recent times, there have been a lot of efforts for improving the ossified Internet architecture in a bid to sustain unstinted growth and innovation. A major reason for the perceived architectural ossification is the lack of ability to program the network as a system. This situation has resulted partly from historical decisions in the original Internet design which emphasized decentralized ne...

A recent innovation in student knowledge modeling is the replacement of static estimates of the probability that a student has guessed or slipped with more contextual estimation of these probabilities [2], significantly improving prediction of future performance in one case. We extend this method by adjusting the training set used to develop the contextual models of guessing and slipping, remov...

Serious games that should adapt training to the individual might benefit from methods that are developed for intelligent tutoring systems. One method, model tracing, might be used for domains with a strict hierarchy, while complex domains that lack such a hierarchy might use the method we introduce in this paper as teacher modeling. It takes the perspective of a teacher, who does not always kno...

This short paper reports some initial experimental demonstrations of the theoretical framework: the massive amount of data in the large-scale cognitive radio network can be naturally modeled as (large) random matrices. In particular, using experimental data we will demonstrate that the empirical spectral distribution of the large sample covariance matrix—a Hermitian random matrix—agree with its...

UML (Unified Modeling Language) developed by a group of leading experts in object-oriented methodologies has become the de facto standard object-oriented development methodology in the ware industry. However, many graphical notations in UML only have informal English definitions and thus are error-prone and cannot be formally analyzed. In the past several years, many researchers around the worl...