HERA: Learner Tracking in a Virtual Environment
The main goals of using simulations and Virtual Environments for Training/Learning (VET/L) are to avoid risks and unwanted consequences, to reduce training costs, and to promote trial and error as an effective strategy for learning. Such environments should enable monitoring of the plans followed by learners, the errors they commit and the resulting risks, and show learners the impact of their decisions during the training process.In this paper, we present a research work that aims to develop a learner tracking system in a virtual environment equipped with an Intelligent Tutoring System (ITS), that we have called HERA (Helpful agent for safety learning in virtual environment). This system is composed of different models representing the data sources, and other modules corresponding to the main processes charged with exchanging, analyzing, transforming, registering,and interpreting data. Thanks to the collaboration between thesemodels and modules, HERA is able to determine learners current tasks, the errors and risks produced, and to help them during and after learning. Our system allows learners to perform their tasks in front of a screen, and to see 1) the impact of their decisions by modifying the Virtual Environment, and 2) a textual feedback oftheir activities (tasks and errors) in a list form.
Virtual environment for learning intelligent tutoring system learner tracking plan recognition activity model risk prevention
Kahina Amokrane Domitile Lourdeaux Jean-Marie Burkhardt
UTC,HEUDIASYC UMR CNRS 6599,Compiègne,France Paris Descartes University,ECI,Paris,France
国际会议
2008年国际虚拟环境和虚拟智能大会(IVEVA 2008)
南京
英文
115-122
2008-06-01（万方平台首次上网日期，不代表论文的发表时间）