Abstract
Virtual environments (VEs) afford learners the ability to train in simulated versions of real-world environments or in novel environments to attain or refine skills. Performance within these training tasks are likely to benefit from appropriate feedback and assessments. As the usefulness of VEs and adaptive training technology become more valuable, recommendations and considerations on their integration are important to explore. There are opportunities to integrate these existing environments with adaptive training using a domain-independent intelligent tutoring system (ITS) framework, such as the Generalized Intelligent Framework for Tutoring (GIFT). This paper discusses considerations and approaches to adding intelligent tutoring to existing VEs to extend their usefulness and accessibility.
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Acknowledgments
The GIFT software and work was funded by the US Army Research Laboratory and the U.S. Army CCDC Soldier Center. The GAUNTLET VE work was funded by the US Army Research Laboratory’s Human Sciences campaign. The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the Army Research Laboratory, Soldier Center, Data and Analysis Center, or the U.S. Government. The U.S. Government is authorized to reproduce and distribute reprints for Government purposes notwithstanding any copyright notation herein.
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Sinatra, A.M., Pollard, K.A., Files, B.T., Oiknine, A., Patton, D. (2021). Considerations in Adding Adaptive Training to Existing Virtual Environments. In: Cassenti, D., Scataglini, S., Rajulu, S., Wright, J. (eds) Advances in Simulation and Digital Human Modeling. AHFE 2020. Advances in Intelligent Systems and Computing, vol 1206. Springer, Cham. https://doi.org/10.1007/978-3-030-51064-0_6
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