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Tag : Learning Actions model

RESOURCE: MIT Researchers: Crowdsourced Outlines Improve Learning from Videos

A team of researchers from the Massachusetts Institute of Technology and Harvard University are using crowd-sourced conceptual outlines to help learners get more out of educational videos. The outlines can work as navigation tools, so that "viewers already familiar with some of a video's content can skip ahead, while others can backtrack

Featured Article: New CME Architecture Aims to Enable Better Learning

By Sue Pelletier | MeetingsNet “There’s an assumption that CME providers tend to make—we have all made it—that learners know what to do with the information they gather during continuing medical education activities, that learners know how to learn efficiently,” says Medical Meetings columnist, research scientist, and educational technologist Brian S. McGowan, PhD. “While

ABSTRACT: Don’t forget the learner: an essential aspect for developing effective hypermedia online learning in continuing medical education.

Abstract There is increasing use of hypermedia online learning in continuing medical education (CME) that presents the learner with a wide range of different learning resources, requiring the learner to use self-regulated learning (SRL) skills. This study is the first to apply an SRL perspective to understand how learners engage with

Welcome to the ArcheMedX Blog

Welcome to the ArcheMedX blog.

Our goal for this site is to share our thoughts on the science of CME with a bent towards the online learning and assessment, but if history serves as evidence we will be commenting on much, much more.

ArcheMedX was founded with one clear purpose in mind, “to build the structure that simplifies learning.” And over the past year Joel and I have spent hundreds of hours exploring what works and what is missing in medical education. What has become increasingly obvious is that the traditional focus of developing and delivering de novo content to clinician learners has failed to have the impact that is needed to sufficiently and efficiently advance healthcare. Instead we believe that a new model must evolve – a model in which a ubiquitous learning architecture is engineered.

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