Report
Real-time individualized training vectors for experiential learning
- Abstract:
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Military training utilizing serious games or virtual worlds potentially generate data that can be mined to better understand how trainees’ learn in experiential exercises. Few data mining approaches for deployed military training games exist. Opportunities exist to collect and analyze these data, as well as to construct a fullhistory learner model. Outcomes discussed in the present document include results from a quasi-experimental research study on military game-based experiential learning, ...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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Bibliographic Details
- Publisher:
- Sandia National Laborotories Publisher's website
- Journal:
- Real-time individualized training vectors for experiential learning Journal website
- Publication date:
- 2011-01-01
Item Description
- Keywords:
- Pubs id:
-
pubs:632363
- UUID:
-
uuid:0fcd410f-7ef3-46c4-b23c-74a1504d45ee
- Local pid:
- pubs:632363
- Source identifiers:
-
632363
- Deposit date:
- 2016-07-07
Terms of use
- Copyright holder:
- Sandia National Laboratories
- Copyright date:
- 2011
- Notes:
-
This is the
publisher's version of a report published by Sandia National Laboratories in association with the US Department of Energy on 2011-01-01, available online: http://dx.doi.org/10.2172/1010417
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