A sweetspot for innovation:developing games with purpose through student-staff collaboration

Within industry as well as academia, developing games that have wider impact on society has been of particular interest in the last decade. The increasing use of terms such as ‘games with purpose’, ‘serious games’ and gamification’ has been mirrored in a flurry of activity in games research. Broader applications of games beyond entertainment are now well-understood and accepted, with universities and companies excelling in creating games to serve particular needs. However, it is not explicitly clear how undergraduates of game design and development courses can be directly involved in serious game creation. With most undergraduates inspired by commercial games development, and the games industry requiring that universities teach specific technical skills in their courses, balancing the research aspirations of academics with the educational requirements of an appropriate undergraduate course can be a difficult balancing act. In this paper, the authors present three case studies of games with purpose developed through collaboration between undergraduate students and academic staff. In all cases, the educational value of the projects for the students is considered in relation to the research value for the academics, who face increasing demands to develop research outcomes despite a necessity to provide a first-rate learning experience and nurture future game developers

Fiscal Update, October 5, 2005

The Fiscal Division newsletter, published weekly during session and periodically during the interim

ICE: Enabling Non-Experts to Build Models Interactively for Large-Scale Lopsided Problems

Quick interaction between a human teacher and a learning machine presents numerous benefits and challenges when working with web-scale data. The human teacher guides the machine towards accomplishing the task of interest. The learning machine leverages big data to find examples that maximize the training value of its interaction with the teacher. When the teacher is restricted to labeling examples selected by the machine, this problem is an instance of active learning. When the teacher can provide additional information to the machine (e.g., suggestions on what examples or predictive features should be used) as the learning task progresses, then the problem becomes one of interactive learning. To accommodate the two-way communication channel needed for efficient interactive learning, the teacher and the machine need an environment that supports an interaction language. The machine can access, process, and summarize more examples than the teacher can see in a lifetime. Based on the machine's output, the teacher can revise the definition of the task or make it more precise. Both the teacher and the machine continuously learn and benefit from the interaction. We have built a platform to (1) produce valuable and deployable models and (2) support research on both the machine learning and user interface challenges of the interactive learning problem. The platform relies on a dedicated, low-latency, distributed, in-memory architecture that allows us to construct web-scale learning machines with quick interaction speed. The purpose of this paper is to describe this architecture and demonstrate how it supports our research efforts. Preliminary results are presented as illustrations of the architecture but are not the primary focus of the paper

EASTWEB: building an integrated leading Euro-Asian higher education and research community in the field of the Semantic WEB

Based on the experience of the EC funded project EASTWEB, a project involving Universities from Italy (main partner), Austria, Ireland, Poland, China, India and Thailand, we describe a set of on going and planned collaboration activities. We highlight what we see the major advantages but also the difficulties in carrying out such a program

Developing downloadable TUIs for online pedagogic activities

The Web has changed how we interact with the World’s information and knowledge. As a result there have been several changes to the education sector, especially in online distance learning. Nevertheless, most of the e-Learning activities struggle to break the GUI paradigm. The HCI community has focused on the use of Tangible User Interfaces (TUI) for pedagogic purposes thus producing some evidence of the potential that embodied cognition might bring to constructivist learning. New education movements such as the Edupunk movement argue for an empowerment of independent learners, following the constructivist perspective where learners have to have a more active role by experimenting and discovering concepts on their own. However, we think that accessing TUI systems via Web can lead to pedagogic activities that break the GUI paradigm in education on the Web. This paper presents a case study: three prototypes of TUIs for online learning and exploration were developed and tested, investigating the usability and engagement provided by this kind of interactive tools. <br/

Home-based physical therapy with an interactive computer vision system

In this paper, we present ExerciseCheck. ExerciseCheck is an interactive computer vision system that is sufficiently modular to work with different sources of human pose estimates, i.e., estimates from deep or traditional models that interpret RGB or RGB-D camera input. In a pilot study, we first compare the pose estimates produced by four deep models based on RGB input with those of the MS Kinect based on RGB-D data. The results indicate a performance gap that required us to choose the MS Kinect when we tested ExerciseCheck with Parkinson’s disease patients in their homes. ExerciseCheck is capable of customizing exercises, capturing exercise information, evaluating patient performance, providing therapeutic feedback to the patient and the therapist, checking the progress of the user over the course of the physical therapy, and supporting the patient throughout this period. We conclude that ExerciseCheck is a user-friendly computer vision application that can assist patients by providing motivation and guidance to ensure correct execution of the required exercises. Our results also suggest that while there has been considerable progress in the field of pose estimation using deep learning, current deep learning models are not fully ready to replace RGB-D sensors, especially when the exercises involved are complex, and the patient population being accounted for has to be carefully tracked for its “active range of motion.”Published versio

Addressing the challenges of ECMO simulation

This document is the Accepted Manuscript. The final, definitive version of this paper has been published in Perfusion, May 2018, published by SAGE Publishing, All rights reserved.Introduction/Aim: The patient’s condition and high-risk nature of extracorporeal membrane oxygenation (ECMO) therapy force clinical services to ensure clinicians are properly trained and always ready to deal effectively with critical situations. Simulation-based education (SBE), from the simplest approaches to the most immersive modalities, helps promote optimum individual and team performance. The risks of SBE are negative learning, inauthenticity in learning and over-reliance on the participants’ suspension of disbelief. This is especially relevant to ECMO SBE as circuit/patient interactions are difficult to fully simulate without confusing circuit alterations. Methods: Our efforts concentrate on making ECMO simulation easier and more realistic in order to reduce the current gap there is between SBE and real ECMO patient care. Issues to be overcome include controlling the circuit pressures, system failures, patient issues, blood colour and cost factors. Key to our developments are the hospital-university collaboration and research funding. Results: A prototype ECMO simulator has been developed that allows for realistic ECMO SBE. The system emulates the ECMO machine interface with remotely controllable pressure parameters, haemorrhaging, line chattering, air bubble noise and simulated blood colour change. Conclusion: The prototype simulator allows the simulation of common ECMO emergencies through innovative solutions that enhance the fidelity of ECMO SBE and reduce the requirement for suspension of disbelief from participants. Future developments will encompass the patient cannulation aspect.Peer reviewe

How do trainee doctors learn about research? Content analysis of Australian specialist colleges' intended research curricula

Objectives: Patients do better in research-intense environments. The importance of research is reflected in the accreditation requirements of Australian clinical specialist colleges. The nature of college-mandated research training has not been systematically explored. We examined the intended research curricula of Australian trainee doctors described by specialist colleges, their constructive alignment and the nature of scholarly project requirements. Design: We undertook content analysis of publicly available documents to characterise college research training curricula. Setting: We reviewed all publicly accessible information from the websites of Australian specialist colleges and their subspecialty divisions. We retrieved curricula, handbooks and assessment-related documents. Participants: Fifty-eight Australian specialist colleges and their subspecialty divisions. Primary and secondary outcome measures: Two reviewers extracted and coded research-related activities as learning outcomes, activities or assessments, by research stage (using, participating in or leading research) and competency based on Bloom’s taxonomy (remembering, understanding, applying, analysing, evaluating, creating). We coded learning and assessment activities by type (eg, formal research training, publication) and whether it was linked to a scholarly project. Requirements related to project supervisors’ research experience were noted. Results: Fifty-five of 58 Australian college subspecialty divisions had a scholarly project requirement. Only 11 required formal research training; two required an experienced research supervisor. Colleges emphasised a role for trainees in leading research in their learning outcomes and assessments, but not learning activities. Less emphasis was placed on using research, and almost no emphasis on participation. Most learning activities and assessments mapped to the ‘creating’ domain of Bloom’s taxonomy, whereas most learning outcomes mapped to the ‘evaluating’ domain. Overall, most research learning and assessment activities were related to leading a scholarly project. Conclusions: Australian specialist college research curricula appear to emphasise a role for trainees in leading research and producing research deliverables, but do not mandate formal research training and supervision by experienced researchers