Kennesaw State University
Perceived Effectiveness of E-Learning for Technology Instruction in Public Library Staff Development Programs: A Survey Based on the Technology Acceptance Model
Abstract
dc:description.abstract<p>The purpose of this research study was to determine the perceived effectiveness of e-learning for staff members in public libraries. In addition, the effects of user demographics - including a user’s age and gender - were analyzed to determine if these factors impacted the perceived effectiveness of e-learning as a training delivery model.</p> <p>Davis’s Technology Acceptance Model (1989) was used to develop a questionnaire related to the perceived effectiveness and value of e-learning, and a survey of public library staff members across the United States was conducted. Results of the survey showed the impact that previous e-learning experience and the user's age had on the perception of this method of instruction; younger staff members and those who had previously completed e-learning modules were more likely to consider it to be an effective way to learn new information. The survey results provide valuable implications for organizations using e-learning as a component of a technology acceptance program and can help inform decisions related to the implementation of e-learning programs. Best practices in the development of technology training programs and opportunities for additional studies are also discussed.</p>
Degree
thesis:*- Name thesis:degree_name
- Master of Science in Information Technology (MSIT)
- Level thesis:degree_level
- Thesis
- Discipline thesis:degree_discipline
- Information Technology
- Year dc:date.available
- 2016
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Huprich, Julia
- Contributors dc:contributor
-
- Richard Halstead-Nussloch, Ph.D.
- Rebecca Rutherfoord, Ed.D.
- Guangzhi Zheng, Ph.D.
Subjects
dc:subject × 6Identifiers
dc:identifier.*- Repository record dc:identifier
- https://digitalcommons.kennesaw.edu/msit_etd/1
- OAI identifier oai:identifier
- oai:digitalcommons.kennesaw.edu:msit_etd-1001