Instructional Design Competency Testing

This paper is a literature review of the instructional design process and the training received by students preparing to be instructional designers.

This paper explains that the process of applying the instructional technology knowledge base to the education and training needs of the work force is referred to as instructional design. The author points out that as instructional technology, and more specifically, instructional design, has evolved, there have been efforts to more effectively meet the needs of business through the training of instructional designers who provide the instructional products business and industry what it needs to train the workforce. The paper concludes that there is a skills mismatch between school and business, representing a cultural shift, which is the result of a significant paradigmatic transference within the educational organizations that has not occurred correspondingly in the business culture; therefore, it is important to create instructional design artifacts that adequately meet the needs of the student and of the businesses in which the students will build careers.

Table of Contents
Instructional Design Competencies
Evidence for Skills Mismatch
Reviewing Current Educational Preparation through Instructional Design
Case Study of Attempts to Institute Competency Measurement and Curriculum Change
Identifying Common Goals
General and Specific ID Strategies
The Foundation for Competency Measurement and Human Resource Practices
Bridging the Skill Mismatch with Competency Testing and Instructional Design
The History of Instructional Design and Instructional Technology Development
An Important Missing Link
Qualitative and Quantitative Research Methodology
The Evolution of our Understanding of Human Nature and the Beginning of Human Behavioral Studies
Maslow?s Hierarchy of Needs ? a Shift in Understanding
Triangulation as a Resolution for the Dichotomy
Educational Culture and Business Expectations
Are They Speaking The Same Language?
“Information can be processed either consciously or automatically, and conscious processing requires more working memory resources than does automatic processing. (Kalyuga , Chandler , and Sweller 1998) Schemas which are stored in long-term memory, with varying degrees of automaticity, form the basis of the conscious thought process. A schema, thought, paradigm, or concept can be stored and retrieved from long-term memory either in fully automated form or in a form that requires conscious consideration of each of the elements and their relations. If a schema can be brought into working memory in automated form, it will make limited demands on working memory resources, and thereby leave more resources available to the person. If a fully automated schema incorporating the problem solution is available in long-term memory for transfer to working memory, solution will proceed easily and smoothly.”