Refining a Competency Model for Instructional Designers in the Context of Online Higher Education
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| Title: | Refining a Competency Model for Instructional Designers in the Context of Online Higher Education |
|---|---|
| Language: | English |
| Authors: | Park, Jae-Young, Luo, Heng |
| Source: | International Education Studies. 2017 10(9):87-98. |
| Availability: | Canadian Center of Science and Education. 1120 Finch Avenue West Suite 701-309, Toronto, ON M3J 3H7, Canada. Tel: 416-642-2606 Ext 206; Fax: 416-642-2608; e-mail: ies@ccsenet.org; Web site: http://www.ccsenet.org/journal/index.php/es |
| Peer Reviewed: | Y |
| Page Count: | 12 |
| Publication Date: | 2017 |
| Document Type: | Journal Articles Reports - Research |
| Education Level: | Higher Education |
| Descriptors: | Models, Instructional Design, Higher Education, Online Courses, Competency Based Education, Case Studies, Mixed Methods Research, Task Analysis, Job Analysis, Content Analysis, Likert Scales, Skill Analysis, Questionnaires, Expertise, Minimum Competency Testing |
| ISSN: | 1913-9020 |
| Abstract: | This study investigates the instructional designers (IDs) competencies essential for the context of online higher education, and has selected an instruction design unit in a research university as a case of investigation. To identify and compare IDs competencies at organizational and individual levels, this study employed a mixed method to collect and analyze data based on a validated IDs competency model by the International Board of Standards for Training, Performance and Instruction (ibstpi) as a framework. Throughout the study, IDs' expected jobs/tasks and currently performed jobs/tasks were systematically analyzed, and the applicability of the ibstpi model in this specific context of online higher education was verified. Based on the empirical findings, this study proposed a refined competency model to improve IDs performance in human resources development and management practice. |
| Abstractor: | As Provided |
| Number of References: | 29 |
| Entry Date: | 2017 |
| Accession Number: | EJ1153592 |
| Database: | ERIC |
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