The Joint Simulation System (JSIMS) is comprised of modeling and simulation technologies that represent the next generation of large-scale training systems. One goal of JSIMS is to provide enhanced capabilities for planning, preparing, executing, and evaluating training across a variety of audiences (e.g., Joint Task Force, Multi-Service, and Single-Service). JSIMS will provide appropriate representations of strategic, tactical, and operational environments. While this synthetic environment holds considerable promise for conducting training, models and simulations by themselves will not result in effective learning environments. Effective learning environments result when appropriate learning strategies, tools, and methods are integrated with technologies to support training.

While detailed processes exist for development of synthetic environments, similar methods for establishing effective learning environments are only beginning to emerge. One method with considerable promise for JSIMS is known as the Event-Based Approach to Training (EBAT). EBAT provides a systematic approach for developing learning objectives, generating scenarios, measuring performance, and providing feedback. EBAT has been successfully used in a number of settings to establish effective learning environments which have in turn, resulted in improved performance. EBAT provides a basis for developing a learning environment for JSIMS and supports the requirements of the Joint Training System (JTS).

This paper will (a) provide an overview of JSIMS, (b) present a conceptual model of a learning environment, (c) describe JSIMS in terms of the conceptual model, (d) identify the major challenges and considerations for establishing a JSIMS learning environment, and (e) discuss the implications of the framework for other training systems and required research and development efforts.