The performance prediction and task sequencing in traditional adaptive intelligent tutoring systems needs information gained from expert and domain knowledge. In a former work a new efficient task sequencer based on a performance prediction system was presented, which only needs former performance information but not the expensive expert and domain knowledge. In this paper we aim to support thi...

Surgical simulation for medical education is increasingly perceived as a valuable addition to traditional teaching methods. Simulators provide a structured learning experience, permitting practice without danger to patients, and simulators facilitate the teaching of rare or unusual cases. Simulators can also be used to provide an objective assessment of skills. This paper is a survey of current...

In this paper, we propose a new framework that unifies the output of three information extraction (IE) tasks entity mentions, relations and events as an information network representation, and extracts all of them using one single joint model based on structured prediction. This novel formulation allows different parts of the information network fully interact with each other. For example, many...

We present a case study in the use of performance modeling for parallel application development, with a biological cell simulation as our target application. We show that a simple performance model is adequate for determining data layout for arrays and linked structures, and validate our model against experimental results for some application kernels. We quantify the importance of optimizing ac...

Expressive performance modeling requires different information for each expressive dimension. Most systems, however, rely on a single approach for all dimensions. Further, tempo and timing are mostly treated as one atomic entity instead of being decomposed into elements and treated separately. We propose a performance model that discriminates expressive dimensions with regard to the modeling ap...

Online learning has great potential to provide students with meaningful learning (Anderson, 1996), however online learning like any other form of structured learning requires careful design, management and facilitation. The world of virtual education with its variety of learning environments built on the basis of students remote from any physical classroom, promotes a need to establish systems ...

Few-shot learning refers to understanding new concepts from only a few examples. We propose an information retrieval-inspired approach for this problem that is motivated by the increased importance of maximally leveraging all the available information in this low-data regime. We define a training objective that aims to extract as much information as possible from each training batch by effectiv...

......................................................................................4 Introduction...................................................................................4 Methods.......................................................................................6 Results.......................................................................................11 Discussion............

Performance prediction asks how much time executing an application is likely to take on a particular machine. Machine ranking asks which of a set of machines is likely to execute an application most quickly. These two questions are discussed within the context of large parallel applications run on supercomputers. Different techniques are surveyed, including a framework for a general approach th...

A new theoretical/empirical model has been developed for performance prediction of hard rock TBMs. The model uses information on the rock properties and cutting geometry to calculate TBM rate of penetration. The model can also be used for TBM butterhead design optimization to achieve maximum performance in a given geology.