A Step Towards an Intelligent Digital Training Management System (I-DTMS)

<p>The U.S. Army Digital Training Management System (DTMS) is a web-based system designed to create a single point of entry for units to schedule unit training, manage training resources, and create schedules and master calendars for training. Currently, the U.S. Army uses DTMS to manage unit training and help commanders at each step of the training management process from planning and preparing to execute and assessing the training plans. This research aims to add intelligent features to DTMS through augmenting it with an intelligent decision support system (ITPSS) that utilizes artificial intelligence techniques (case-based reasoning, in particular) to determine if training guidance (either annual training guidance or doctrinal template) was implemented correctly. The proposed system should also help company commanders to refine their unit training plans after reviewing previous similar unit training plans recommended or retrieved by the ITPSS. This research demonstrates how case-based reasoning could improve the training plan development and approval process in DTMS, and questionnaire results support this analysis. It is worth noting that the focus of this research is on the applicability and plausibility of the proposed decision system, not on developing an interface between DTMS and DSS.</p>

Name thesis:degree_name

Computer Science - Applied Computing Track

Level thesis:degree_level

Thesis

Discipline thesis:degree_discipline

TSYS School of Computer Science

Year dc:date.available

2016

Author dc:creator

• Dugger, Andrew

Contributors dc:contributor

• Rania Hodhod
• Rodrigo Obando
• Shamim Khan

• U.S Army Digital Training Management System (DTMS)
• DTMS
• Intelligent Decision Support System (ITPSS)
• ITPSS
• DSS
• Case-Based Reasoning
• Computer Sciences
• Numerical Analysis and Scientific Computing

Language dc:language

English

Repository record dc:identifier

https://csuepress.columbusstate.edu/theses_dissertations/233

OAI identifier oai:identifier

oai:csuepress.columbusstate.edu:theses_dissertations-1238