Online learning is taking our nation by storm and changing the face of education forever. By 2014 we are projected to have 10 million students taking at least one online class (Nagel, 2009). The online revolution is one of the greatest changes the field of education has seen in the last 25 years (Greenway & Vanourek, 2006). This major shift in education also represents a major shift in how our teachers are prepared and what great teaching looks like in online settings.
The online classroom is distinctly different than the brick-and-mortar classroom, and success in the classroom does not necessarily translate into the online environment (Watson, Murin, Vashaw, Gemin, & Rapp, 2011). Our students deserve the best online teachers to ensure the potential of online learning is fulfilled (Cavanaugh, Gillan, Kromrey, Hess, & Blomeyer, 2004). Top quality online teachers are those who have mastered or can demonstrate the ability to quickly learn the specific skills of technology, online instructional design and delivery, communication, and online learning professional development.
This study will explore and analyze the impact of the website K-12 Online Staffing Solutions on the recruitment, hiring, and induction practices for K-12 online administrators. Using the research and development research model, developed by Borg and Gall (1989), the website will undergo a series of qualitative feedback and product revision cycles with participants. The results of the study showed that the website tool was easy to use and impacted the practice of virtual school administrators in Oregon. The results have implications beyond virtual charter schools in Oregon. Online learning is growing and administrators need practical, accessible, and research based tools to successfully meet the need for online K-12 options.
| Identifer | oai:union.ndltd.org:pdx.edu/oai:pdxscholar.library.pdx.edu:open_access_etds-3106 |
| Date | 09 December 2014 |
| Creators | Huld, Daniel Keith |
| Publisher | PDXScholar |
| Source Sets | Portland State University |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | Dissertations and Theses |
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