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A member of a Joint Chiefs of Staff workshop said, "The best weapons, intelligence, communications, and computer systems designed, built, and deployed are no good when the people assigned are not trained to operate them!" This in a nutshell is the motivation behind the advanced training and learning work described in the edition of The Edge.

This edition of The Edge provides readers with perspectives from researchers and implementors of instructional systems. Their articles discuss both technologies and methodologies aimed at making sure people know how to use the newest Command, Control, Communications, Computers and Intelligence (C4I) systems.

Technologies spotlighted in this issue include embedded training, intelligent computer-aided instruction, collaborative training, distance learning, practice environments, and using simulation to stimulate real-world C4I systems for training. Capitalizing on these new technologies takes different methodologies as well, such as capturing new doctrine while training to use new C4I systems, and applying "learning methodologies" to ensure training systems meet the needs of training audiences.

The articles in this issue describe how appropriate use of technology-based training can reduce the cost and duration of training, increase its accessibility to distant learners, make training available to individuals when needed, reduce the difficulty of distributing updated training materials, and play a significant role in improving the design of C4I systems and the doctrine for using them.

Cheikes and Goodman introduce two emerging technologies: embedded training using Intelligent Computer-Aided Instruction (ICAI) and collaborative learning environments. ICAI was inspired by the effectiveness of one-to-one human tutoring. It focuses on guiding the acquisition of skills (perceptual, motor, or cognitive) through the coached practice of job-related tasks. Artificial intelligence software guides each student through selected task-oriented activities giving coaching, feedback, scaffolding (where the learner works with an automated coach to solve problems beyond his or her capability, contributing as much as he or she knows), and fading (gradually withdrawing the scaffolding as the learner becomes more capable). When this task-oriented training software is integrated with application software (such as a C4I system), it is known as embedded training. In contrast to the individualized tutoring of ICAI, collaborative learning environments enable even geographically distant students to work together, ask each other questions, explain and justify their opinions, articulate their reasoning, and elaborate and reflect upon their knowledge. These sophisticated technologies can help meet the needs for training the highest-level cognitive skills in the shortest amount of time.

Chris Marsh describes a recently deployed ICAI system, which teaches advanced troubleshooting skills on F-16 communications systems, and drastically reduces training time.

Furey-Deffely and Levesque present a job-aid application that tracks user progress on a separate C4I system. Like fully embedded training, but without modifying the C4I system, the job-aid can offer advice "just in time" to help users successfully complete their tasks. While not primarily training, such a system helps users be more productive. Being able to add knowledge needed immediately for a specific situation to skills already available is called "just-in-time training," a term popular with people working in training technology, and important for understanding this issue of The Edge.

Tyler and Harper characterize the real-world challenges, trade-offs, and lessons learned in deploying the Marine Corps distance learning network: MarineNet. MarineNet provides interactive multimedia instruction to Marines in their offices, in their homes, in learning resource centers, aboard ships, and through mobile networks in forward-deployed locations. The MarineNet training management system will transform course registration and student tracking. The courseware management system will similarly transform course changes and distribution. This distance learning approach reduces the cost of maintaining the currency of training materials, eliminates the cost of travel to training sites, and brings instructional advantages of advanced training technology to remote sites.

New C4I systems enable new operational possibilities. Even so, the best techniques, tactics, and procedures for using evolving C4I systems have yet to be discovered. Ehrhart and Bigbee explain how training in a near-operational setting can support both doctrine development and system design. Pursuit of such approaches will ensure that C4I systems deliver and put in place processes that meet current needs and improve operations.

Janet Johns describes a holistic instructional strategy in which different phases of training are implemented with different modes of instructional technology. Multimedia computer-based training is used to teach basic concepts, structured practice environments for practicing these concepts and procedures, and virtual environments for more realistic practice and to develop advanced problem-solving skills. The article states that these technologies are not alternatives; instead each is most suited to a certain kind of training.

One of the largest Department of Defense (DoD) investments in training-systems development is the Joint Simulation System (JSIMS). The JSIMS training audiences range from Joint Task Force commands to Army battalion commands. Robert Bolling describes how the applying learning methodologies (systematic analysis of training audiences and training objectives) can help ensure that large-scale training systems will indeed meet their training purpose.

By stimulating tactical intelligence-collection equipment with simulated data, a new system will allow intelligence system operators to practice producing and disseminating intelligence products. Dunlap and Dunlap characterize the broad set of technical challenges that underlie trying to stimulate real-world intelligence systems through simulation.

It is possible today to apply the advanced technologies and methodologies described in this issue of The Edge. We need to apply them for the DoD to gain the full benefit of the newest C4I technology.


For more information, please contact guest editors Gary Klein or Frank Linton using the employee directory.

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