In this paper we describe the learner model ontology and learner model agent in a multi-agent architecture of learning support systems. The learner model ontology facilitates 1) sharable specification of the functionalities of learner model agent; 2) fluent communication between the learner model agent and other agents. The example of a learner model ontology and learner model agent shows that ...

this study aimed to investigate how iranian efl learners performed in producing sentences containing idioms and whether they had any problems in producing such sentences. this query, subsequently, raised the question of whether idioms influenced the participants’ grammaticality judgment on idiom-containing sentences. for this purpose, firstly, the writings of 24 learners were investigated for a...

Interleaving exemplars of to-be-learned categories-rather than blocking exemplars by category-typically enhances inductive learning. Learners, however, tend to believe the opposite, even after their own performance has benefited from interleaving. In Experiments 1 and 2, the authors examined the influence of 2 factors that they hypothesized contribute to the illusion that blocking enhances indu...

Interleaving exemplars of to-be-learned categories—rather than blocking exemplars by category— typically enhances inductive learning. Learners, however, tend to believe the opposite, even after their own performance has benefited from interleaving. In Experiments 1 and 2, the authors examined the influence of 2 factors that they hypothesized contribute to the illusion that blocking enhances ind...

One way to define a Nash equilibrium is by positing a set of beliefs (or conjectures) for each player over (about) the actions of their opponents that has the property that, given these beliefs, when each player best responds, the actions taken confirm the initial beliefs. This rational expectations definition leaves open the question of how beliefs and actions get into this self-confirming sta...