The influence of e-learning on individual and collective empowerment in the public sector: An empirical study of Korean government employees

Our study explores the influence of e-learning on individual and collective empowerment by using data collected from e-learning class participants of Korea’s Cyber-Education Center. For the survey, a questionnaire was sent to each of the 41 central ministries’ education and training officers (ETO)...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Mann Hyung Hur, Yeonwook Im
Formato: article
Lenguaje:EN
Publicado: Athabasca University Press 2013
Materias:
Acceso en línea:https://doaj.org/article/1084ea98ac41460ea15f027d810af5e1
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
Descripción
Sumario:Our study explores the influence of e-learning on individual and collective empowerment by using data collected from e-learning class participants of Korea’s Cyber-Education Center. For the survey, a questionnaire was sent to each of the 41 central ministries’ education and training officers (ETO) via email. The ETOs distributed the questionnaire to individuals in their ministries who have taken e-learning classes offered by the Cyber-Education Center during the first half of 2012. Out of more than 1,000 e-learning class attendees, 161 responded to the questionnaire survey. A set of multiple regression models was employed to explore significant predictors of government employees’ individual and collective empowerment in e-learning environments. Using existing literature on empowerment theories, a set of 16 questions was developed. A factor analysis was conducted to condense 16 individual variables into several large categories. Four factors including meaning, competence, self-determination, and collective empowerment were extracted from the 16 questions. The first three equations stood for individual empowerment and the last one for collective empowerment. Each of the four factors was utilized as a dependent variable in the multiple regression analysis. Each regression model uncovered its own set of variables that played a role in empowerment. The predictor variables of the meaning dimension were more widely split than those of the competence dimension or the self-determination dimension and collective empowerment. Only one independent variable—preference of e-learning class to offline class—was associated with all four dependent variables. However, modalities of e-learning activity, which were expected to be a significant predictor of empowerment, were not associated with any of the four dependent variables. In addition, lecture types of the e-learning class were also expected to be a significant predictor of empowerment but were only associated with the competence dimension.