This paper describes one university’s approach to improving the quality of teaching and learning at the institutional level, based on the premise of improving the design of curriculum rather than focusing on the skills of teachers as such. The paper describes the process by which university-wide principles of curriculum design were defined and agreed, as well as the parallel campaigns needed to...

Our goal is to develop a hybrid cognitive model of how humans acquire skills on complex cognitive tasks. We are pursuing this goal by designing hybrid computational architectures for the NRL Navigation task, which requires competent sensorimotor coordination. In this paper, we empirically compare two methods for control knowledge acquisition (reinforcement learning and a novel variant of action...

Brain tumors (BTs) are spreading very rapidly across the world. Every year, thousands of people die due to deadly brain tumors. Therefore, accurate detection and classification essential in treatment Numerous research techniques have been introduced for BT as well based on traditional machine learning (ML) deep (DL). The ML classifiers require hand-crafted features, which is time-consuming. On ...

This paper summarizes the research work conducted for a survey of a group of Japanese University students’ attitudes towards a hybrid language learning course. It determines how two different ways of teaching, traditional in-class structured and online unstructured lessons, significantly affected their perceptions about their learning English in a foreign language (EFL) course. As an introducti...

We have been developing a system AirTransNote, a computermediated learning system that employs digital pen to realize papercentric augmented classroom. Although the approach was sophisticated, it restricted feedback effects which potentially improve learning. To maximize the feedback effects of the system, we present a hybrid approach of augmented classroom environment. We classified the type o...

1 We examine phrase alignment in a hybrid connectionist framework. We describe the architecture and the learning algorithm of our approach. Simulations have been carried out to demonstrate the feasibility of this approach using two corpora. Although the results of our approach are still at an early stage, we found that a hybrid approach to phrase alignment has the potential to provide good resu...