according to a basic prediction made by the revised hierarchical model (rhm,kroll & stewart, 1994), there is no l2 conceptual connection at the beginning stages of language learning as l2 learners mostly rely on l1 conceptual connections to retrieve the meaning of the l2 words.with increasing proficiency, however, there would be a direct access from l2 to the conceptual system. available litera...

We describe a system, G2A, that produces ACT-R models from GOMS models containing hierarchical methods, visual and memory stores, and control constructs. Because GOMS is a more abstract formalism than ACT-R, a single GOMS operator might be plausibly translated in different ways into ACT-R productions (e.g., a GOMS Look-for operator might be carried out by different visual search strategies in A...

We describe a system, G2A, that produces ACT-R models from GOMS models containing hierarchical methods, visual and memory stores, and control constructs. Because GOMS is a more abstract formalism than ACT-R, a single GOMS operator might be plausibly translated in different ways into ACT-R productions (e.g., a GOMS Look-for operator might be carried out by different visual search strategies in A...

As computers have become more powerful, the simulations and data processing applications that use them have become resource hungry, and, at the same time more complex. The complexity of simulations has increased in terms of the number of dimensions (from 1D to 2D to 3D), the set of equations being simulated (from one equation, to multiple equations in one domain, to multiple equations in multip...

The purpose of this qualitative exploratory study was to identify factors that influenced prospective and experienced secondary level science teachers’ reasoning as they evaluated or selected tasks to formatively assess their students’ understanding of scientific concepts. The analysis of the coded written responses revealed two categories of factors that influenced the teachers’ reasoning: (1)...

This paper follows the scenarios and task models debate by reviewing the contributions of task modelling and scenario based approaches from a cognitive perspective. A framework of cognitive affordances is introduced to discuss the merits and limitations of each approach. An extension of the modelling theme, generic task models, is proposed to augment the contribution of knowledge reuse to the d...

In this paper we present our first participation at RepLab Campaign. Our work is focused in two contributions. The first one is the use of an IR method to address Polarity and Filtering tasks. These two tasks can be seen as the same problem: to find the most relevant class to annotate a given tweet. For that, we applied a classical IR approach, using the tweet content as query against an index ...

PURPOSE The aim of the present work is to analyze the potential of the cross-correlation component of the multiscale structural similarity metric (R*) to predict human performance in detail detection tasks closely related with diagnostic x-ray images. To check the effectiveness of R*, the authors have initially applied this metric to a contrast detail detection task. METHODS Threshold contras...

This case study investigated how five novice teachers of French went about implementing tasks. In particular, the investigation aimed at finding out about implementational demands that imposed challenges for the teachers and how they coped with these challenges. The study also looked at the complementary relationship between implementational demands and task design factors and how these impact ...