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The Determinants Of Users’ Acceptance To Online Vocational Education

Posted on:2018-04-24Degree:MasterType:Thesis
Country:ChinaCandidate:S Y LiuFull Text:PDF
GTID:2347330518996623Subject:Business Administration
Abstract/Summary:PDF Full Text Request
With the constant popularization of the network, traditional business models of all walks of life are confronted with great challenges and opportunities. Online vocational education is a new exploration based on the existing offline vocation education in colleges and universities.Online vocational education refers to the way that teachers and learners use network technology through device terminal (PC, mobile phones,tablet PCs, etc.) to obtain the training of professional ethics, vocational skills, and vocational examinations.In 2010, the Chinese government promulgated the "National Medium and Long Term Education Reform and Development Plan(2010-2020)", clearly pointing out the important status of vocational education in China, while encouraging enterprises and universities to use high-tech means of teaching. Over the past six years, online vocational education has gone through a development process from scratch. At present, the industry is in a period of rapid development. How to improve the product to obtain the recognition of users is the basic problem faced by enterprises.This thesis summarizes the characteristics and challenges of online vocational education. Based on the research and application of technology acceptance model (TAM) and the characteristics of online vocational education, this thesis builds an influencing factor model of online vocational education products. By collecting empirical data through the questionnaire and using factor analysis, correlation analysis,and structural model to analyze the data, it can be concluded that factors influencing the use of online vocational education include perceived usefulness, social impact, perceived ease of use, perceived cost, and perceived risk. In addition, the study also introduces the demographic variables, with the results of the questionnaire to calculate the influence degree of population variables on above factors. Finally, the author analyzes the result and puts forward five suggestions for online vocational education.
Keywords/Search Tags:online vocational education, TAM, influencing factors social impact
PDF Full Text Request
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