CEC Theses and Dissertations

Date of Award

2013

Document Type

Dissertation

Degree Name

Doctor of Philosophy in Computing Technology in Education (DCTE)

Department

Graduate School of Computer and Information Sciences

Advisor

Timothy J Ellis

Committee Member

Gertrude W Abramson

Committee Member

Martha Snyder

Abstract

For large organizations, updating instructional programs presents a challenge to keep abreast of constantly changing business processes and policies. Each time a process or policy changes, significant resources are required to locate and modify the training materials that convey the new content. Moreover, without the ability to track learning objects to processes and policies, training managers cannot conduct an effective training gap analysis in these areas. As a result, the corporate training picture is unclear and instructional needs cannot be accurately determined.

The research addressed these problems by recognizing the need for linkages between an organization's business processes, its policies, and the learning objects that package the corresponding training content and deliver it to the workforce. The overall investigation was completed in three parts. In the first study, a thorough examination of the literature was conducted to determine the extent of the research problem and to provide a theoretical foundation for a solution. In the second study an expert panel was used to elicit user needs for a knowledge management system that addresses training management shortcomings in a large law enforcement agency. Another expert panel from that agency validated and prioritized the user needs during the third study. Through a combination of research-based elicitation and validation techniques, an accurate list of natural language software requirements emerged to represent the collective needs of the law enforcement training experts. The software requirements may now serve to analyze the capabilities of existing information technology systems or to form the basis for a request for proposal (RFP) to build the envisioned knowledge management system.

Share

COinS