Reflection and Engagement in Online Training

在过去的几年里，e-Learning或在线培训迅速流行起来。虽然这可以是 为消费者或员工提供培训的便捷且经济高效的方式，而不是所有的电子学习系统 都是有效的。特别是，许多系统在设计时似乎没有过多地考虑财富 已经对人们如何学习的神经科学进行了科学研究。有一家公司是 致力于开发基于神经科学的更有效的电子学习系统是总部位于哈利法克斯的初创公司 SageCrowd。SageCrowd的社交学习平台旨在提供随着时间的推移而被人们记住的内容 由学习者提供。为了进一步完善SageCrowd学习系统，需要进行科学的测试，以 确定哪些组件最有效。这项研究将测试SageCrowd的三种不同迭代 平台，并将研究学习如何受到诸如课程中使用的视觉类型等因素的影响， 完成课程的地点，以及学习和测试 材料。通过这个项目，SageCrowd将获得有价值的信息，用于提炼和优化 他们的学习平台。

E-Learning, or online training has been rapidly increasing in popularity in the last few years. While this can be a convenient and cost-effective way to provide training to consumers or employees, not all e-learning systems are effective. In particular, many systems were designed seemingly without much consideration of the wealth of scientific research that has been conducted on the neuroscience of how people learn. One company that is committed to developing a more effective e-learning system based on neuroscience is Halifax-based startup SageCrowd. SageCrowd's social learning platform aims to provide content that is well-remembered over time by learners. In order to further improve the SageCrowd learning system, it needs to be tested scientifically, to determine which components are most effective. This study will test three different iterations of the SageCrowd platform, and will examine how learning is impacted by factors such as the type of visuals used in the lessons, the location in which the lessons are completed, and the length of time between learning and testing of the material. Through this project, SageCrowd will gain valuable information with which to refine and optimize their learning platform.