In the absence of tools for intelligent tutoring systems for soaring flight simulation training, this study evaluated a framework foundation to measure pilot performance, affect, and physiological response to training in real-time. Volunteers were asked to perform a series of flight tasks selected from Federal Aviation Administration Practical Test Standards for Commercial and Private Pilot Glider check-rides. These tasks were performed in a glider flight simulator under the direction of a trained pilot observer. Pilot performance was recorded using a glider flight computer, the flight simulator software, and by the observer. Pilot stress was self-reported at predetermined intervals and recorded by the pilot observer. Pilot physiological data were recorded using Empatica E4 sensors, including heart inter-beat intervals, electrodermal activity, and skin temperature. The experiment framework demonstrated relationships between pilot stress, experience level, physiological state, and task performance during the execution of cognitively challenging flight-training tasks. For future work, the framework offers a foundation for an affective simulation platform to measure operator emotion and performance, and adapt training scenarios in real-time, in order to optimize training effectiveness. Finally, the framework demonstrated a mechanism for converting emotional values that are traditionally defined qualitatively into quantitative values. [The dissertation citations contained here are published with the permission of ProQuest LLC. Further reproduction is prohibited without permission. Copies of dissertations may be obtained by Telephone (800) 1-800-521-0600. Web page: http://bibliotheek.ehb.be:2222/en-US/products/dissertations/individuals.shtml.]