MPICE Simulation-based Intelligent Tutoring

The MPICE metrics framework and analysis software present an opportunity to improve significantly the planning and execution of stability and reconstruction operations in conflict environments. We propose to develop a scenario-based intelligent tutoring system for MPICE. Key elements of our approach include scenario-based, application-level learning, emphasis on systems modeling and reasoning skills, automated assessment and feedback, coaching, capture and evaluation of analysis rationale, and simplified scenario authoring. During Phase I, we will demonstrate the usefulness of the proposed training system by identifying MPICE learning objectives and by describing 8 to 10 complex scenarios. Learning objectives will be based on documented reconstruction principles and conflict situations and on interviews with military planners with recent stability and reconstruction experience. We will demonstrate the instructional effectiveness and feasibility of the training system by developing a limited software prototype and showing this prototype to potential stakeholders to elicit their feedback. We will also specify the design of the system to be developed during Phase II by identifying the software’s user interface, modules, data, algorithms, and internal and external interfaces.