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Aim. To assess the impact of an intervention aimed to build capacity of registered nurses to enhance the clinical learning environment for undergraduate nursing students. Workplace learning is vital for the development of skills, attributes and knowledge of student nurses. Registered nurses need to be appropriately prepared to maximise student learning during clinical placement.
Background. The...
Aiming at the problem of the "semantic gap" and the "dimensionality curse", this paper discussed the model of cross-media retrieval. The methods of feature extraction and fusion of multimedia were given for processing high-dimensional data, and a nonlinear hybrid classifier based on support vector hidden Markov models was design for implementation semantic mapping and learning...
For the majority college students in Taiwan, learning and using terminologies of a specific domain between Chinese and English interchangeably are quite a challenge. Most of the students seek for assistances from library resources or search for answers on web. Unfortunately, the students would not be able to identify the correctness of their findings, or the worse, the students cannot choose the right...
Self-configuration is one of the most important functions of autonomic networks because it determines optimal use of resources during network's operation. However, this task is very complex as it must be performed according to service contracts between users and operators, network's infrastructure and workload. Knowledge Plane is a recently proposed concept to address this complexity by using cognitive...
Open-ended systems and unknown dynamical environments present challenges to the traditional machine learning systems, and in many cases traditional methods are not applicable. Lifelong reinforcement learning is a special case of dynamic (process-oriented) reinforcement learning. Multi-task learning is a methodology that exploits similarities and patterns across multiple tasks. Both can be successfully...
This research explores the research method of photo elicitation, where participants take photos that are later used to promote conversation in interviews and focus groups, as both a research and a pedagogical tool in an engineering education context. Different methodological implementations are investigated as research methods, and its potential use as a pedagogical tool to promote active group learning...
In this paper, we contribute to the work on design thinking and learning by examining students' creativity within engineering design activities. In particular, we investigate how students explore novel solutions while exploiting prior knowledge. We present findings from a field study of a nine-week long design project where student design teams worked on renewable energy solutions for a farm in New...
Reputation is a well established means to determine trustworthiness in online systems in various contexts, e.g. online transactions, product recommendation, e-mail spam fighting, etc. However, typically these reputation systems are "closed'' outside of the community: the set of participants, their possible actions, their evaluation and the mechanism to derive trust evaluations are predetermined...
Sketching user interface and virtual reality (VR) techniques to education application has become popular, promising to make the teaching and learning experience more natural and efficient for users. The adaptive support can improve the intelligence during the interaction process between user and systems to emphasize the individual needs. In this paper, we present the sketching user interface for geometry...
Mobile learning is transforming the way of tradition education. But most of e-learning system and contents are not suitable for mobile device. In order to provide suitable mobile learning services, the approach for self-adaptation is proposed in this paper. Firstly, the formal definitions of context and its influence on learning service, including NCxt, side S, weighing Q and adaptation coefficient...
Active modeling is required in learning settings to cope with the dynamic evolution of the knowledge, since learners competences evolves over time as they participate in the course activities. Moreover, one of the main issues in a competence based eLearning process is to deliver personalized instructional designs adjusted to both 1) intrinsic characteristics of users (i.e. learning styles) and 2)...
This paper looks at a combination of teaching evaluations, performed across three cultures. The research indicates that many institutions of higher education that undertake teaching evaluations, not only follow traditional strategies, but leave open the possibility that measured teaching outcomes may not be aligned with effective learning practices. This paper suggests a more aligned approach should...
One of the key features of emerging and future wireless systems is the continuous increase in the number and diversity of available radio access technologies. A great number of research efforts in the past decade have focused on ways to more efficiently exploit the various wireless access technologies. Among the recent trends in this direction are cognitive wireless networks and systems, targeting...
The continuous evolution of wireless systems has resulted in a number of new and powerful wireless networking standards. The concept of Beyond the Third Generation Systems (B3G) emerged in an attempt to exploit the variety of the available access standards to the benefit of end-users, operators and manufacturers. In this context, a key topic in the research area of B3G/4G networks is related to mechanisms...
Policies have been explored as a basis for autonomic management. In many cases, there is a need for policy-driven autonomic systems to have the ability to adapt the use of policies based, for example, on past experience, in order to deal with human error or the unpredictability in workload characteristics. This suggests that learning approaches can offer significant potential benefits in providing...
Current pervasive environments should contain mechanisms, such as personalization, that adapt the environment to help the user meet their individual needs. However, manually creating, maintaining and utilizing a preference set is no easy task for a user, requiring continued time and effort. A more desirable approach is to implicitly build and maintain the preference set by using monitoring and learning...
For learning Bayesian Network (BN) structures, it has become common practice to use the Bayesian Dirichlet (BD) scoring criterion. In contrast to most other scoring metrics that functionally can be interpreted as regularized maximum likelihood criteria, the BD metric cannot be considered as such. The functional dissimilarity of the BD metric compared to other metrics is an obstacle from an analytical...
In this paper novel approach for programming of intelligent equipment based on usage of context and learning is proposed. Main feature of this approach is opportunity of combination of programming and learning, fuzzy and deterministic representation of knowledge and routine in one system. The elements of context based language for robot (CBLR) applying this approach are described.
For situated reinforcement learning agents to succeed in complex real world environments they have to be able to efficiently acquire and reuse control knowledge in order to accomplish new tasks faster and to accelerate the learning of new policies. While hierarchical learning approaches which transfer previously acquired skills and representations to model and control new tasks have the potential...
A computer simulation process of Emotion is viewed as a complete course of events by theory of affective computing flow. Based on this theory, the use of existing multi-agent technology and learning theory will achieve the model of affective computing in the computer, single-agent structure in the system of individual learners used to simulate learner in the learning process emotional excitation process,...
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