
Artifact Reflection: Data-Based Decision Making Standard
"Value the use of data as the starting point for professional work."Artifact: ED795A Performance Anlaysis, Needs Assessment & Design Document (PDF)
Related Artifacts:
ED795A Final Comprehensive Report (PDF includes Final Report, Contract, Meeting Minutes, Hours Log, Performance Analysis, Needs Assessment, & Design Document)
IHM EPSS Prototypes:
I worked as an educational technology consultant for the Institute for Health Maintenance (IHM) on a project to expand their services to a wider audience via an electronic performance support system (EPSS) in ED795A: Seminar in Educational Technology. The project deliverables included a performance analysis, needs assessment, design document with implementation and evaluation strategies, and a prototype. My use of the performance and needs analyses demonstrated my achievement of the data-based decision making standard, “Value the use of data as the starting point for professional work.”
Context
The purpose of this 795A assignment was to establish a client-consultant relationship with a local company on a project whose parameters were determined by the instructional design or performance technology needed. My client was the Institute for Health Maintenance (IHM), who desired to expand its services to an online community. I worked in tandem with a 795A classmate to advance the project, already started by in 2002 by Felicia Douglis, an SDSU EDTEC student. My role for the projected included building on Douglis’s foundation, a food tracker, and to provide advisement and best practices for achieving the following tasks:
- deciding priority tools and features to offer clientele,
- designing an easy-to-use and navigable interface,
- orienting users to the online tools and community, and
- introducing the IHM diet philosophy to online customers.
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Demonstrating Data-based Decision Making Standard
The IHM EPSS project demonstrates my mastery of the data-based decision making standard, “Value the use of data as the starting point for professional work.” During the analysis and design phases of the IHM project, I used the following methods and sources of data collection:
- surveying customers to gain insight into their perspectives, needs and wants;
- interviewing IHM employees to understand employee attitudes and motivation, as well as recognize constraints; and,
- reviewing literature to reveal best practices, current trends and expert opinions.
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Problems & Opportunities Encountered
The data-based decision making problems and opportunities I encountered during this project centered around collecting data using an electronic survey. While it was difficult to elicit the high number of participants necessary to ensure useful and valid data, it was time efficient and audience appropriate to use an online tool, such as surveymonkey.com, to create, distribute and analyze the survey data. I also had the opportunity to apply my performance technology skills by suggesting the use of incentives to invoke a larger number of respondents.
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Lessons Learned
The lessons I learned from completing this project include:
- conducting a quick performance analysis can influence the degree of success of a project;
- distinguishing the difference between the desires of the customers and the clients is necessary to address genuine problems and opportunities;
- large amounts of extant data should be sifted through before presenting it to the client in an external consulting project; and,
- data should be used to influence design, implementation and evaluation decisions.
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