Improving Personalized Feedback at the Workplace with a Learning Analytics enhanced E-portfolio
نویسندگان
چکیده
During workplace based learning, e.g. clinical practice or during an internship, there is an urgent need for solutions to restore and to guarantee the quality of feedback for (becoming) professionals. In continuing education at the workplace the use of Electronic portfolios (EPs) is a crucial means for acquiring the requisite professional knowledge and skills. Although EPs provide a useful approach to view each trainee’s progress, often only limited use is made of the rich contextual learning assessment data to support responsive adaptation for more efficient and rewarding training and hence to provide personalized feedback. This contribution advocates that EPs enhanced with a Learning Analytics engine, may increase the quality and efficiency of workplace-based feedback and assessment. This contribution addresses this by outlining an approach that is applied in a European 7th framework project, called WATCHME (www.project-watchme.eu). The aim of the contribution is to provide insight in underlying rationales to improve workplace-based feedback and assessment and how this is applied in an EP environment that is enhanced with Learning Analytics.
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Impact of Direct Corrective Feedback (DCF) Through Electronic Portfolio (EP) Platform on the components of Iranian EFL Learners’ Writing across Levels of Language Proficiency
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