At the Royal Melbourne Hospital, the Genetic Counsellors identified the desire to learn from each other, and engage in new forms of learning. Subsequently, a pilot project focusing on reflection, accountability, and experiential learning was developed. Live supervision with peers was identified as the model which fitted the learning objectives of the team. The aims of the project were to: 1. De...

BACKGROUND Quality of supervision is a major predictor for successful PhD projects. A survey showed that almost all PhD students in the Health Sciences in Denmark indicated that good supervision was important for the completion of their PhD study. Interestingly, approximately half of the students who withdrew from their program had experienced insufficient supervision. This led the Research Edu...

Due to significant aging trends in coming decades, health care service in western countries is no longer able to satisfy the national care needs. Patients are increasingly expected to perform Self-Care, facing them with severe medical adherence problems. We are exploring the possibilities of personal virtual assistants in the supervision of Self-Care. Because this is ethically complicated, we f...

Despite outstanding success in vision amongst other domains, many of the recent deep learning approaches have evident drawbacks for robots. This manuscript surveys recent work in the literature that pertain to applying deep learning systems to the robotics domain, either as means of estimation or as a tool to resolve motor commands directly from raw percepts. These recent advances are only a pi...

At the very beginning of working with the group as a supervisor – the dynamics of which I will analyse more thoroughly in the section Personal Experience, group members were discussing their personal experience of the supervisee’s position, their past, present and anticipated relationship with the supervisor and their experience of the supervision of the supervisor. Although they broached many ...

Training in a variety of skills while caring for patients, without the burden of unnecessary tasks, and with meaningful feedback and supervision and time for reflection and self-care -- too much to ask?

One of the most promising directions of deep learning is the development of self-supervised methods that can substantially reduce the quantity of manually-labeled training data required to learn a model. Several recent contributions, in particular, have proposed self-supervision techniques suitable for tasks such as image classification. In this work, we look instead at self-supervision for geo...

To improve the quality of health care in Nepal, supervision/ monitoring involving periodic visits by the district supervisor to health facilities (top-down approach) is in practice. It is not objectively implemented because of time and financial constraints and terrain of the country. To assess the effectiveness of a pre-tested strategy i.e. peer-group discussion with self-assessment piloted th...

Distance education has been an important research issue of multimedia computing and communication. Since the instructional activities are implemented on cyberspace, how to control behaviors of students and to increase the degree of communication awareness has been a challenging issue. This paper presents an advanced Petri Net model to analyze the workflow of a web-based multiple participants vi...