An analysis of personalized learning systems for Navy training and education settings

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Authors
Robbins, Nathaniel J.
Subjects
personalized learning
intelligent tutoring system
individualized instruction
cost-effectiveness analysis
digital tutor
Advisors
Cunha, Jesse
Bacolod, Marigee
Date of Issue
2016-12
Date
Dec-16
Publisher
Monterey, California: Naval Postgraduate School
Language
Abstract
The U.S. Navy employs a single approach to education and training in virtually all of its schoolhouses and learning environments. This one size fits all system is dated and inefficient, and the Navy could potentially benefit from an individualized approach. Personalized learning is a methodology that enables the individual student to learn in a manner that best suits his or her aptitude, background, and learning style. This approach, while complex and expensive to implement, is quickly gaining traction as educational technology improves. The benefits of such a methodology to student outcomes and organizational efficiency could be substantial. In analyzing cost structures of three fundamental instructional models, long-run average total costs for each were found to be most sensitive to delivery of instruction, not content development or school infrastructure. Fewer human teachers, less travel time, more cost-effective delivery of training, and a higher level of student performance make personalized learning an attractive alternative to the industrial model. The Navy's Digital Tutor program is one such example, and although there are mixed results for its effectiveness and cost savings, evaluating this program provides lessons for continued efforts in embracing technology to develop revolutionary training and education programs for the future.
Type
Thesis
Description
Department
Graduate School of Business and Public Policy (GSBPP)
Identifiers
NPS Report Number
Sponsors
Funder
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Citation
Distribution Statement
Approved for public release; distribution is unlimited.
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.
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