Learning to prescribe and instruct exercise in physiotherapy education through authentic continuous assessment and rubrics
Year: 2020
Type: article
Abstract: BACKGROUND: Authentic assessment and effective feedback are among various strategies that promote learning in the assessment process. These strategies are commonly used during clinical placements. However, they are rarely implemented in the didactic portion of physiotherapy education despite the benefits this type of assessment may bring to achieving students' learning and outcome. METHODS: This mixed method study investigated how an authentic continuous assessment coupled with rubrics facilitated physiotherapy students' learning process in a real-life complex skill of exercise prescription and instruction. The study also explored the relationship between different activities in the Learning Management System (LMS) and learning outcomes. Qualitative data was collected using a focus group and an analysis of discussion forum posts. Quantitative data included various information from a questionnaire, the LMS and assessment score. RESULTS: Thematic analyses from the focus group and discussion forum posts suggest that students used a cyclical self-regulated learning process as a result of authentic task design and rubrics for feedback facilitation. Interestingly, the discussion forum access was found to be moderately and significantly correlated with assessment score by Spearman's rank correlation (ρ = 0.59, p < 0.01), while the students did not find the discussion forum useful. CONCLUSIONS: Overall results suggest the promotion of self-regulated learning in this authentic continuous assessment. The roles and goals of each authentic task within the assessment should be made explicit in order to raise cognitive awareness of benefits.
Source: BMC Medical Education
Institution: Hong Kong Polytechnic University
Language: English
Subfield: Education
Field: Social Sciences
Domain: Social Sciences
SDG: Quality education
Open Access status: gold
Estimated APC paid: $2,170
Funder: Hong Kong Polytechnic University
Award: G7689269986
OpenAlex ID: W3047776720
