4 research outputs found
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Virtual exams: has COVID-19 provided the impetus to change assessment methods in medicine?
AIMS: The ongoing COVID-19 pandemic has disrupted and delayed medical and surgical examinations where attendance is required in person. Our article aims to outline the validity of online assessment, the range of benefits to both candidate and assessor, and the challenges to its implementation. In addition, we propose pragmatic suggestions for its introduction into medical assessment. METHODS: We reviewed the literature concerning the present status of online medical and surgical assessment to establish the perceived benefits, limitations, and potential problems with this method of assessment. RESULTS: Global experience with online, remote virtual examination has been largely successful with many benefits conferred to the trainee, and both an economic and logistical advantage conferred to the assessor or organization. Advances in online examination software and remote proctoring are overcoming practical caveats including candidate authentication, cheating prevention, cybersecurity, and IT failure. CONCLUSION: Virtual assessment provides benefits to both trainee and assessor in medical and surgical examinations and may also result in cost savings. Virtual assessment is likely to be increasingly used in the post-COVID world and we present recommendations for the continued adoption of virtual examination. It is, however, currently unable to completely replace clinical assessment of trainees. Cite this article: Bone Jt Open 2021;2(2):111-118
Towards flexible personalized learning and the future educational system in the fourth industrial revolution in the wake of Covid-19
This is an Accepted Manuscript of an article published by Taylor & Francis in Higher Education Pedagogies on 25/02/2021, available online: https://doi.org/10.1080/23752696.2021.1883458The concept of the Fourth Industrial Revolution is examined and related to a ubiquitously connected and pervasively proximate (UCaPP) world, Volatility, Uncertainty, Complexity, Ambiguity (VUCA) as well as Barnett's concept of 'supercomplexity' in Higher Education and its response to Covid-19. Pedagogies need to be aligned with institutional and views about 'quality education' but with respect to the likely changes in the nature of undergraduate student intake in the formulation of a Future Educational System. Considerations include students from 'nontraditional' sources adapting to existing university structures and how
adaptive structures might accommodate these students on top of changes and disruptions resulting from Covid-19. We consider that mobile devices (phones and tablets) allow Personal Learning Environments (PLEs) to be developed in accordance with individual students' needs. PLEs allow ubiquitous, flexible educational structures to be developed to improve personalised and quality education. Educational policies should be associated with connectivist approaches involving active learning via broad curriculum development and the core values of 'hybrid-flexible' learning and appreciate the importance of individual student needs and capabilities, socio-economic as well as academic. We stress the importance of broadening access to higher education, in particular, those who have been 'neglected' by current procedures
The MOBILE AUGMENTED REALITY APPLICATION FOR IMPROVING LEARNING OF ELECTRONIC COMPONENT MODULE IN TVET
Teens and young adults may get training in anything from the basics to advanced skills in various workplace and academic settings at Technical and Vocational Education Training and Education (TVET) institutions. Some aspects of teaching and learning in TVET cannot be articulated clearly, and trainees cannot perceive how things fit together. The study was conducted to determine the optimal platform to develop mobile Augmented Reality applications for TVET trainees and, to assess the TVET trainee’s readiness for AR-based mobile application training deployment. An online questionnaire was sent to trainees at Industrial Training Institute in Malaysia via the online system. A marker-based Augmented Reality application was created for the Basic Electronic Components module utilizing Unity software, the Vuforia engine, and C# script. Finally, the trainees were allowed to test the generated application. The trainees were interviewed to obtain data on their responses. The results indicate that 83% of the TVET trainees own and use android as the application platform. The results of the pre-test and post-tests used to gauge the success of the Augmented Reality application show that its usage in the sub-learning module significantly improved memory recalls for the TVET trainees. The outcomes showed that the Augmented Reality application suited the participants' learning needs and improved the effectiveness of their learning. The result from this project will serve as a pre-test for determining the most suitable platform to deploy the Augmented Reality application to be developed in the future
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Mobile depth sensing technology and algorithms with application to occupational therapy healthcare
This thesis was submitted for the award of Doctor of Philosophy and was awarded by Brunel University LondonThe UK government is striving to shift its current healthcare delivery model from clini-cian–oriented services, to that of patient and self–care–oriented intervention strategies. It seeks to do so through Information Communication (ICT) and Computer Mediated Re-ality Technologies (CMRT) as a key strategy to overcome the ever–increasing scarcity of healthcare resources and costs. To this end, in the UK the use of paper–based information systems have exhibited their limitations in providing apposite care. At the national level, The Royal College of Occupational Therapists (RCOT) identify home visits and modifica-tions as key levers in a multifactorial health programme to evaluate interventions for older people with a history of falling or are identified as being prone to falling. Prescribing Assistive Equipment (AE) is one such mechanism that seeks to reduce the risk of falling whilst promoting the continued independence of physical dexterity and mobility in older adults at home. In the UK, the yearly cost of falls is estimated at £2.3 billion. Further evidence places a 30% to 60% abandonment rate on prescribed AE by and large due to a ‘poor fit’ and measurement inaccuracies.
To remain aligned with the national strategy, and assist in the eradication of measurement inaccuracies, this thesis employs Mobile Depth Sensing and Motion Track-ing Devices (MDSMTDs) to assist OTs in in the process of digitally measuring the extrin-sic fall–risk factors for the provision of AE. The quintessential component in this assess-ment lies in the measurement of fittings and furniture items in the home. To digitise and aid in this process, the artefact presented in this thesis employs stereo computer–vision and camera calibration algorithms to extract edges in 3D space. It modifies the Sobel–Feldman convolution filter by reducing the magnitude response and employs the camera intrinsic parameters as a mechanism to calculate the distortion matrix for interpolation between the edges and the 3D point cloud. Further Augmented Reality User Experience (AR-UX) facets are provided to digitise current state of the art clinical guidance and over-lay its instructions onto the real world (i.e., 3D space).
Empirical mixed methods assessment revealed that in terms of accuracy, the arte-fact exhibited enhanced performance gains over current paper–based guidance. In terms of accuracy consistency, the artefact can rectify measurement consistency inaccuracies, but there are still a wide range of factors that can influence the integrity of the point-cloud in respect of the device’s point-of-view, holding positions and measurement speed. To this end, OTs usability, and adoption preferences materialise in favour of the artefact. In conclusion, this thesis demonstrates that MDSMTDs are a promising alterna-tive to existing paper–based measurement practices as OTs appear to prefer the digital–based system and that they can take measurements more efficiently and accurately