Aim:In this current climate of escalating student fees, students as paying consumers expect a quality fieldwork experience. However, the ability of universities to deliver quality fieldwork programs is compromised by the increasing pressure experienced by fieldwork educators to meet productivity targets in the face of diminishing resources. This paper details how one university, Monash University, sought input from stakeholders to design a fieldwork program. Methods: This qualitative study utilised focus groups to inform the researchers of stakeholders' perceptions of what constitutes quality fieldwork education. A total of five focus groups were held, involving 47 occupational therapists practising in Victoria.Results: The major findings include the need to provide ongoing professional development for fieldwork educators, the need to develop tangible strategies in recognition of their contribution towards fieldwork education, and the imperative for closer collaboration between universities and fieldwork educators. Conclusions: Based on literature and in response to the focus group discussions, Monash University has implemented a number of measures to ensure the successful implementation of quality fieldwork education. These include providing ongoing professional development for fieldwork educators to enhance their role, addressing fieldwork educators' concerns about project placements and supporting students with fieldwork relocation. Most importantly, this study demonstrates the need for educational institutions to take the lead in dialogue with the profession to enhance a collaborative response to constant changes in health-care directions. The importance of ongoing research to inform quality fieldwork education is critical to moving the profession forward.
PurposeTraditionally, radiographers and radiation therapists function in a workplace environment that is protocol-driven with limited functional autonomy. The workplace promotes a culture of conformity and discourages practitioners from reflective and critical thinking, essential attributes for continuing learning and advancing workplace practices. As part of the first author’s doctoral study, a continuing professional development (CPD) educational framework was used to design and implement an online module for radiation therapists’ CPD activities. The study aimed to determine if it is possible to enhance healthcare practitioners’ reflective practice via online learning and to establish the impact of reflective learning on clinical practice.Materials and methodsThe objectives of the online module were to increase radiation therapists’ knowledge in planning for radiation therapy for the breast by assisting them engage in reflective practice. The cyclical process of action research was used to pilot the module twice with two groups of volunteer radiation therapists (twenty-six participants) from Australia, New Zealand and Canada.ResultsThe online module was evaluated using Kirkpatrick’s four-level evaluation model. Evidence indicated that participants were empowered as a result of participation in the module. They began reflecting in the workplace while assuming a more proactive role and increased clinical responsibilities, engaged colleagues in collaborative reflections and adopted evidence-based approaches in advancing clinical practices.ConclusionThe study shows that it is possible to assist practitioners engage in reflective practice using an online CPD educational framework. Participants were able to apply the reflective learning they had developed in their workplace. As a result of their learning, they felt empowered to continue to effect changes in their workplace beyond the cessation of the online module.
The objective for this study was to determine whether learning style preferences of health science students could predict their attitudes to e-learning. A survey comprising the Index of Learning Styles (ILS) and the Online Learning Environment Survey (OLES) was distributed to 2885 students enrolled in 10 different health science programs at an Australian university. A total of 822 useable surveys were returned generating a response rate of 29.3%. Using SPSS, a linear regression analysis was completed. On the ILS Active-Reflective dimension, 44% of health science students reported a preference as being active learners, 60% as sensing learners, and 64% as sequential learners. Students' attitudes toward e-learning using the OLES showed that their preferred scores for all 9 subscales were higher than their actual scores. The linear regression analysis results indicated that ILS learning styles accounted for a small percentage of the OLES actual and preferred subscales' variance. For the OLES actual subscales, the ILS Active-Reflective and Sensing-Intuitive learning style dimensions were the most frequent predictors of health science students' attitudes towards elearning. For the OLES preferred subscales, ILS Active-Reflective and Sequential-Global learning style dimensions accounted for the most frequent source of variance. It appears that the learning styles of health science students (as measured by the ILS) can be used only to a limited extent as a predictor of students' attitudes towards elearning. Nevertheless, educators should still consider student learning styles in the context of using technology for instructional purposes.
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