This study explored the effect of contrastive phrase resynthesis instruction ongaining the teachability hypothesis stages in self-paced versus time-constrained oralproduction and recognition. Three groups (i.e., 23 learners) of high beginner femalelearners in an English language institute were randomly selected from a cohort oflearners. One group received contrastive metalinguistic instruction ...

Advances in information technologies have resulted in the use of pedagogical agents to facilitate learning. Although several studies have been conducted to examine the effects of pedagogical agents on learning, little is known about gender stereotypes of agents and how those stereotypes influence student learning and attitudes. This study investigates if the pedagogical agent’s gender influence...

Curriculum learning and self-paced are the training strategies that gradually feed samples from easy to more complex. They have captivated increasing attention due their excellent performance in robotic vision. Most recent works focus on designing curricula based difficulty levels input or smoothing feature maps. However, labels control utility a curriculum manner is still unexplored. In this w...

We propose to learn a curriculum or a syllabus for supervised learning with deep neural networks. Specifically, we learn weights for each sample in training by an attached neural network, called ScreenerNet, to the original network and jointly train them in an end-to-end fashion. We show the networks augmented with our ScreenerNet achieve early convergence with better accuracy than the state-of...

OBJECTIVE The objective of this study was to design a Web-based implantable cardioverter defibrillator (ICD) module that would allow greater access to learning which could occur at an individual's convenience outside the fast-paced clinical environment. MATERIALS AND METHODS A Web-based ICD software educational program was developed to provide general knowledge of the function of the ICD and ...

Although unsupervised person re-identification (Re-ID) has drawn increasing research attention recently, it remains challenging to learn discriminative features without annotations across disjoint camera views. In this paper, we address the Re-ID with a conceptually novel yet simple framework, termed as Multi-label Learning guided self-paced Clustering (MLC). MLC mainly learns three crucial mod...