Extensive reading (ER) is an effective way to provide large amounts of comprehensible input to foreign language learners, but many teachers and administrators remain unconvinced, and it has been argued that there is still insufficient evidence to support the claims that have been made regarding its benefits. Few studies have looked at ER’s effect on reading fluency. This article reports on an i...

Sense-making, within enactive theories, provides a novel way of understanding how a comprehensible and manageable world arises for a subject. Elaboration of the concept of sense-making allows a fundamental reframing of the notion of perception that does not rely on the pick up of information about a pre-given world. In rejecting the notion of the subject as an input/output system, it is also ne...

Computational intelligence techniques in control have facilitated the automatic generation of control strategies with little or no human input about the system. The present research examines the use of evolution in the generation of rule-based controllers for nonlinear problems, where the derived controllers are in a compact, comprehensible form. The approach is able to evolve rule structures s...

Singularity is an inherent characteristic of a closed-chain manipulator. This paper presents an approach to singularity analysis of the planar 3-RRR parallel manipulator. On the basis of screw theory, the motion/force transmission analysis of the manipulator is first achieved. The singularity is classified into three types: constraint singularity, input transmission singularity, and output tran...

Data mining is a form of knowledge discovery required for solving problems in a specific domain. Classification is a technique used for discovering class labels of unknown data. Different methods for classification exists like bayesian, decision trees, rule based, neural networks etc. Before applying any mining technique, irrelevant and redundant features needs to be removed. Filtering is done ...

New words were embedded in highand low-constraint sentences and presented three times in a random order to adult learners of Chinese as a second language. The learners explained the meaning of each word in their native languages and their answers were scored by other native speakers. The overall accuracy was .47 with no effect of constraint or frequency. When the data were limited to those word...

We present a dialogue system that automatically generates indoor route instructions in German when asked about locations, using text-based natural language input and output. The challenging task in this system is to provide the user with a compact set of accurate and comprehensible instructions. We describe our approach based on high-level instructions. The system is described with four main mo...

Most student modelling systems seek to develop a model of the internal operation of the cognitive system. In contrast, Input-Output Agent Modelling (IOAM) models an agent in terms of relationships between the inputs and outputs of the cognitive system. Previous IOAM systems have demonstrated high predictive accuracy in the domain of elementary subtraction. These systems use zeroth-order inducti...

This paper describes the experiments carried out in the context of the BEST-project, an interdisciplinary project with researchers from the Law faculty and the AI department of the VU University Amsterdam. The aim of the project is to provide laymen with information about their legal position in a liability case, based on retrieved case law. The process basically comes down to (1) analyzing the...