Maintenance Training Under Uncertainty: Expanding A Smart Tutoring System to Support Acquisition and Retention of Skills
Abstract
Project Abstract Training is important for the Navy. In this research program, we will explore the implications of the KRK learning theory, particularly how it can help warfighters not only to initially learn but also lead to improved retention of skills. We will be examining how different learning schedules influence learning and retention, and how a range of learning schedules affect the learning and retention of different skills. We will also continue to develop a tutoring system to further test and to apply this theory. We will use maintenance of Navy platforms as a domain of study and analysis, particularly for the tutor. More generalized skills and more robust learning is necessary because Navy platforms increasingly vary as for a given platform its components are less uniform, making the maintenance and associated problem solving more uncertain, and requiring more general and more robust skill to maintain. Some of the key research areas and questions this program will attempt to answer are the following. (a) What are the learning theories and associated training protocols that promote development of robust and general maintenance skills? We seek to understand which skills and components of skills are needed to perform maintenance under uncertain conditions, what different methods are best used to train those components (e.g., lecture, mobile, or immersive simulation), and the schedule of how and when to train to optimize training and refreshing. (b) What sorts of training architectures will allow efficient practice of complex maintenance procedures to proceduralize and generalize knowledge to improve its availability and retention? How does the architecture accurately assess and track trainee performance, skill acquisition and decay? How does it adapt to accommodate individuals? (c) How can such an architecture realize tutors that can actually do the training? Are such tutors effective?
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Aug 12, 2016
- Source ID
- N000141512275
Entities
People
- Frank Ritter
Organizations
- Office of Naval Research
- Pennsylvania State University
- United States Navy