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em Deakin Research Online - Australia


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While there is agreement that participation in online asynchronous discussions can enhance student learning, it has also been identified that there is a need to investigate the impact of participation in online discussions on student course performance. This paper presents a case study based on an undergraduate engineering management unit employing a formally assessed online discussion area. It was observed that while many students read a significant number of discussion postings, generally, the posting of new and reply messages occurred at the minimum level required to qualify for the assignment marks. Based on correlation and multiple regression analysis, it was observed that two variables were significantly related to a student's final unit mark—prior academic ability and the number of new postings made to the online discussion. Each new posting contributed three times as much to the final unit mark as its nominal assessment value, suggesting that the work in preparing their new discussion postings assisted students in the completion of a range of assessable tasks for the unit. The number of postings read was not significantly correlated with the final unit mark, suggesting that passive lurking in this online discussion did not significantly contribute to student learning outcomes.

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Surveillance in wide-area spatial environments is characterised by complex spatial layouts, large state space, and the use of multiple cameras/sensors. To solve this problem, there is a need for representing the dynamic and noisy data in the tracking tasks, and dealing with them at different levels of detail. This requirement is particularly suited to the Layered Dynamic Probabilistic Network (LDPN), a special type of Dynamic Probabilistic Network (DPN). In this paper, we propose the use of LDPN as the integrated framework for tracking in wide-area environments. We illustrate, with the help of a synthetic tracking scenario, how the parameters of the LDPN can be estimated from training data, and then used to draw predictions and answer queries about unseen tracks at various levels of detail.

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Purpose - Benefits of positive mental health have been demonstrated across work and non-work domains. Individuals reporting positive mental health experience better work performance, better social relationships and better physical health. Additionally, positive work environments can contribute to employee mental health. The purpose of this paper is to develop "expert" consensus regarding practical, actionable strategies that organisations can implement to promote positive mental health in the workplace. Design/methodology/approach - A Delphi consensusmethod was used to establish expert consensus on strategies to promote positive workplace mental health. A 278-item questionnaire was developed and strategies were rated over three survey rounds by two panels comprising 36 workplace mental health practitioners and 36 employer representatives and employees (27 and 9, respectively), employees with experience of promoting positive mental health and well-being in the workplace (total - 72 panellists). Findings - In total, 220/278 strategies were rated as essential or important by at least 80 per cent of both panels. Endorsed strategies covered the topics of: mental health and well-being strategy, work environment that promotes positive mental health, positive leadership styles, effective communication, designing jobs for positive mental health, recruitment and selection, supporting and developing employees, work-life balance, and positive mental health and well-being initiatives. Originality/value - The guidelines arising from this study represent expert consensus on what is currently appropriate for promoting positive mental health at work from the perspectives of workplace mental health practitioners, employers and employees, and constitute a resource for translating the growing body of knowledge in this area into policy and practice.