Analysis, development and evaluation of online medical training: small and big data for instructional design
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Abstract
As part of a project entitled “Evaluation of a context-adapted wiki-based decision aid supporting critically ill patients' decisions about life-sustaining therapies”, funded by the Canadian Frailty Network, the instructional design team of the Society for Life Long Learning (SAVIE) joined the research project to develop an online course for physicians and students considering a number of technical requirements from a needs analysis. The course was developed by rapid prototyping. The learning management system includes xAPI compliant learning objects for a very detailed learning monitoring. These data, combined with a questionnaire for users participating in the experiment, make it possible to evaluate the use and relevance of the course modules. This first experience of learning analytics allows us to evaluate this technical setting (xAPI and LRS) and highlight its possible applications for improving the training system.
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