Assisting activity analysis in professional learning environments. Case study: activity analysis of trainees on nuclear power plant full-scale simulators

Karim Sehaba, Olivier Champalle, A. Mille
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Abstract

This paper addresses the issue of assisting observation and analysis of learners' behaviour. Our goal is to propose models/tools to facilitate these tasks for the trainer. We propose an approach based on the exploitation traces. The trace represents learners' practices within learning environments. The principle is to transform traces of low abstraction level to build higher-level information that reflects the learner's behaviour. Our work is part of a project in partnership with the EDF Group aiming to assist trainers in observation and analysis of trainee operators for driving activities on nuclear power plant full-scale simulator. We developed a platform D3KODE that implements our models. D3KODE allows storage, processing and interactive visualisation of traces, and has been experimented with EDF Group experts, trainers and trainees. The result demonstrated D3KODE helped the trainers to confirm/validate more easily realisations and no-realisations of educational objectives trainees and facilitated the exchanges between tutors and trainees.
协助专业学习环境下的活动分析。案例研究:核电厂全尺寸模拟器学员活动分析
本文讨论了辅助观察和分析学习者行为的问题。我们的目标是提出模型/工具来帮助培训师完成这些任务。我们提出了一种基于开发痕迹的方法。轨迹表示学习者在学习环境中的实践。其原理是将低抽象层次的痕迹转化为反映学习者行为的更高层次的信息。我们的工作是与法国电力集团合作的一个项目的一部分,该项目旨在协助培训师观察和分析实习操作员在核电站全尺寸模拟器上的驾驶活动。我们开发了一个平台D3KODE来实现我们的模型。D3KODE允许存储、处理和交互式可视化痕迹,并已与EDF集团的专家、培训师和学员进行了实验。结果表明,D3KODE帮助培训师更容易地确认/验证学员教育目标的实现和未实现,并促进了导师和学员之间的交流。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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