Traditional Knowledge Tracing, which traces students’ knowledge of each decomposed individual skill, has been a popular student model for adaptive tutoring. Unfortunately, such a model fails to model complex skill practices where simple decompositions cannot capture potential additional skills that underlie the context as a whole constituting an interconnected chunk. In this work, we propose a ...

This paper revisits the two-hop forwarding policy in delay tolerant networks (DTNs) and provides a rich study of their performance and optimization which includes (i) Derivation of closed form expressions for the main performance measures such as success delivery probability of a packet (or a message) within a given deadline. (ii) A study of competitive and cooperative operations of DTNs and de...

Main verb identification is the task of automatically identifying the predicate-verb in a sentence. It is useful for many applications in Chinese Natural Language Processing. Although most studies have focused on the model used to identify the main verb, the definition of the main verb should not be overlooked. In our specification design, we have found many complicated issues that still need t...

We investigated whether environmental support can be used to circumvent the problem state bottleneck in human multitasking. Previously, it was shown that people can only maintain a single chunk of information in their problem state resource, the central part of working memory. Consequently, when the problem state resource was required by multiple tasks concurrently, performance decreased. This ...

Computational models of learning provide an alternative technique for identifying the number and type of chunks used by a subject in a specific task. Results from applying CHREST to chess expertise support the theoretical framework of Cowan and a limit in visual short-term memory capacity of 3-4 items. An application to learning from diagrams illustrates different identifiable forms of chunk. C...