公开(公告)号：US20110111385A1

公开(公告)日：2011-05-12

申请号：US12613735

申请日：2009-11-06

申请人： Hari Thiruvengada ,  Anand Tharanathan ,  Liana Maria Kiff ,  Stephen Douglas Whitlow

发明人： Hari Thiruvengada ,  Anand Tharanathan ,  Liana Maria Kiff ,  Stephen Douglas Whitlow

IPC分类号： G09B7/00

CPC分类号： G09B7/00

摘要： An automated training system and method based on performance evaluation to provide a precise and succinct automated real-time feedback. A scenario that focuses on specific training objectives can be decomposed into a set of vignettes and dynamically arranged in a dynamic logical sequence to train for a specific high level skill. Performance metrics juxtaposed over a task demand can be automatically computed utilizing a latency and accuracy measure associated with a particular trainee action. Performance data can be automatically gathered and evaluated utilizing the measured performance metrics. Thereafter, contextual feedback information may be automatically organized and provided in real-time to a trainee. The training objectives, the trainee's performance metrics, and feedback data can be utilized to automatically select an appropriate training intervention, which may then be offered to the trainee. An initial, as well as an appropriate follow-up vignette, can be dynamically selected and automatically presented based on the training objectives and evaluated trainee performance data.

摘要翻译： 一种基于性能评估的自动化培训系统和方法，提供精确和简洁的自动化实时反馈。 专注于具体培训目标的场景可以分解为一组小插曲，并以动态逻辑顺序动态排列，以训练特定的高级技能。 可以使用与特定受训者动作相关联的等待时间和准确性度量来自动计算与任务需求并置的性能度量。 绩效数据可以使用测量的绩效指标自动收集和评估。 此后，上下文反馈信息可以被自动组织并实时提供给受训者。 训练目标，受训者的绩效指标和反馈数据可以用于自动选择适当的训练干预，然后可以向受训者提供。 可以根据培训目标和被评估的受训人员绩效数据，动态地选择并自动呈现初步的以及适当的后续小插曲。