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ABSTRACT: Junior doctors’ guide to portfolio learning and building.

Abstract BACKGROUND: A portfolio is a collection of evidence supporting an individual's achievement of competencies and learning outcomes. The material included in the portfolio must be reflected upon, as reflection provides the evidence that learning has taken place. CONTEXT: Portfolio learning is important for two principal reasons: assessment of the trainee, and for lifelong
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ABSTRACT: Stages of competency for medical procedures.

Abstract BACKGROUND: Basic medical procedures have historically been taught at the bedside, without a formal curriculum. The supervision of basic procedures is often provided by the next most senior member of the health care team, who themselves may have very little experience. This approach does not allow for preparatory reading or deliberate
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MANUSCRIPT: Promoting networks between evidence-based medicine and values-based medicine in continuing medical education.

Abstract ABSTRACT: BACKGROUND: In recent years, medical practice has followed two different paradigms: evidence-based medicine (EBM) and values-based medicine (VBM). There is an urgent need to promote medical education that strengthens the relationship between these two paradigms. This work is designed to establish the foundations for a continuing medical education (CME) program
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ABSTRACT: Asynchronous discussion: a comparison of larger and smaller discussion group size.

Abstract AIM: To explore the effect of size and strategy on asynchronous discussions (AD) in a small baccalaureate nursing program. BACKGROUND: As the prevalence of e-learning increases in nursing education, the use of AD as a learning strategy will increase. Because the AD can be engaging, group size should be considered to enhance learning. METHOD: Descriptive,
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ABSTRACT: Automatic keyphrase annotation of scientific documents using Wikipedia and genetic algorithms

Abstract Topical annotation of documents with keyphrases is a proven method for revealing the subject of scientific and research documents to both human readers and information retrieval systems. This article describes a machine learning-based keyphrase annotation method for scientific documents that utilizes Wikipedia as a thesaurus for candidate selection from documents’
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