How family support and Internet self-efficacy influence the effects of e-learning among higher aged adults – Analyses of gender and age differences

• Published in: Computers and education 2010-08, Vol.55 (1), p.255-264
• Main Author: Chu, Regina Ju-chun
• Format: Article
• Language: English
• Subjects: Adult Learning; Adult Students; Adults; Age Differences; Community Colleges; Computer Assisted Instruction; Computer Mediated Communication; Electronic Learning; Family Attitudes; Family Influence; Gender Differences; Gender studies; Interactive learning environments; Internet; Lifelong Learning; Older Adults; Predictor Variables; Satisfaction; Self Efficacy; Social Support Groups; Structural Equation Models; Student Attitudes
• ISSN: 0360-1315; 1873-782X
• DOI: 10.1016/j.compedu.2010.01.011

Gender and age differences in the effects of e-learning, including students’ satisfaction and Internet self-efficacy, have been supported in prior research. What is less understood is how these differences are shaped, especially for higher aged adults. This article examines the utility of family support (tangible and emotional) and Internet self-efficacy (general and communication) in predicting middle aged (aged 50–64) and older adults’ (over the age of 65) perceived effects of e-learning. A total of 290 adult participants aged over 50 who were registered in community college and senior learning center courses completed the measure of perceived family support, Internet self-efficacy and the effects of e-learning. By using structural equation modeling (SEM) and model invariance analysis, the results indicate that emotional family support plays a main role in predicting the effects of e-learning, mediated by general and communication Internet self-efficacy. Emotional family support has both direct and indirect influences on adults’ perceived effects of e-learning. Tangible support significantly predicts adults’ perceived effects of e-learning, mediated by Internet self-efficacy. Compared to male adult learners, female adults rely more on tangible family support for increasing their Internet self-efficacy. Similar patterns were presented by older participants. The similarities between women and older adults imply that the gender issue is not specifically related to sex itself, but relates to the complexity of the social context of these disadvantaged learners. The findings provide researchers, adult education practitioners and e-learning program planners with a direction towards understanding e-learning for middle and older aged adults.