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The Automated-Training, Evaluation, Acquisition, and Management (A-TEAM) program is a U.S. Joint Service management initiative to provide a standardized, integrated set of training development tools to support and sustain military training requirements. The A-TEAM is sponsored by the Office of the Secretary of Defense and has a prime mission to establish commonality, capability, and interoperability in the defense department for advanced training systems development and implementation. The A-TEAM system development evaluates approaches for integrating service-specific automated training development tools. These tools are being cross-service and industry tested. The initial training development tools selected for the A-TEAM evaluation and integration include: (1) Joint Service Instructional Systems Development/Logistic Support Analysis Record Decision Support System from the U.S. Air Force; (2) Authoring Instructional Material (AIM) from the U.S.

The shift towards information intensive, technically sophisticated, military missions will have major implications for current and future training systems which will be developed and implemented under greater budget constraints than previous systems. New Methodologies such as Instructional Systems Development (ISD) Decision Aiding Models; Cognitive Conceptual Representation for Decision Making, and Intelligent Tutoring Systems (ITS) (a form of expert system) hold promise to reduce instructional development time, reduce manpower requirements, and improve methodologies to train higher levels of cognitive skill complexity.

Technological advancements in aeronautical systems have not been matched by improvements in the way human system requirements (HSR) are taken into account during the development process. As a result, HSR accounts for increasing proportions of the life cycle costs of aeronautical systems -- 40 to 66 percent in the case of the US Air Force. Effective HSR analysis tools do not exist but this paper presents two emerging technologies which are focused on giving aeronautical system planners, designers, and developers the ability to integrate HSR tradeoffs into the development process and decrease the cost of ownership while maintaining system performance requirements.

A comparative analysis of current media selection models was conducted as part of an overall effort to improve key Instructional Systems Development (ISD) steps that would significantly benefit from automation and decision support features. The media selection step within the ISD process was chosen for in-depth evaluation of its automation requirements. The objectives of this study were threefold: (a) to compare and contrast the media selection models in general use by military, contractor, and civilian instructional designers; (b) to identify key features that impact media selection model automation; and (c) to develop a preliminary design of an automated media selection model that incorporates the requirements of as many of the reviewed media selection models as possible.

On-schedule deployment, effective maintainability, and supportability of US military operational weapon systems depends on efficient and timely training of personnel maintaining and operating these systems. Front-end Instructional Systems Development applied early in weapon system design assists with developing, testing, and implementing training systems to support the deployment of emerging weapon systems. Currently, the Department of Defense sponsors the Joint Service Instructional Systems Development/Logistic Support Analysis Record (ISD/LSAR) Decision Support System (DSS) to support the early ISD decision-making process. The DSS provides an automated Joint Service ISD process and an automated LSAR-to-ISD data interface. The automated capabilities eliminate labor-intensive data handling tasks and allow training developers to effectively focus on the analyses of training systems requirements.