@inproceedings{Rister2016,
Author = {Rister, Frank and Osterloh, Jan-Patrick and Lüdtke, Andreas},
Title = {Predicting Pilots' Training Progress, Workload and Cognition by the Implementation of Learning Algorithms into Experience-based Flight Training},

Year = {2016},
Publisher = {EAAP},
Booktitle = {Proceedings of the 32th Annual Conference of the European Association of Aviation Psychologists},
type = {inproceedings},
note = {When pilots change their aircraft type to operate on, their formerly acquired flying skills are completely ignored, when undergoing a \"one-size-fits-all\" type-rating course. Neither does this account for the individual's needs nor any previous e},
Abstract = {When pilots change their aircraft type to operate on, their formerly acquired flying skills are completely ignored, when undergoing a \"one-size-fits-all\" type-rating course. Neither does this account for the individual's needs nor any previous experience. Thus, the trainee is faced with a lot of training on already existing knowledge, without being properly advised to the specific characteristics of the new aircraft. In our research, we developed a model-based method and tool that allows tackling these problems by combining task models and knowledge from learning theory to best classify training items with regards to learning effort. Our paper will describe our tool, how we evaluated our training tool in the field, and how learning theory was implemented into the training design.}
}
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