People rapidly learn the capabilities of a new location, without observing every service and product. Instead they map a few observations to familiar clusters of capabilities. This paper proposes a similar approach to computer discovery of routine location capabilities, applying machine learning to predict unobserved capabilities based on a combination of a small body of local observations and ...

In graphical or diagrammatic representations, not only the basic component of a diagram, but also a collection of multiple components can form a unit with semantic significance. We call such a collection a “global object”, and we consider how this can assist in reasoning using diagrammatic representation. In this paper, we investigate reasoning with correspondence tables as a case study. Corres...

this article reports on the findings of a study that investigated the impact of manipulating task performance conditions on listening task performance by learners of english as a foreign language (efl). the study was designed to explore the effects of changing complexity dimensions on listening task performance and to achieve two aims: to see how listening comprehension task performance was aff...

Informed by the expectancy-value and social cognitive theories of learning, the present study proposed a path model to investigate the impact of motivational beliefs as defined by listening self-efficacy, three types of goal orientations, and task value on self-regulation of Iranian EFL learners, in addition to the unique contribution of each to the variability in the listening comprehension sc...