
The study probes the relationship between Internet self-efficacy and their sources.The study collects questionnaire from 252 undergraduate and graduate students.Females express more Internet anxiety.Users' pre-experience plays a significant role in their Internet self-efficacy.The influence of others plays a minor role in learners' Internet self-efficacy. The present study may be regarded as a pioneering study in an attempt to probe the relationship between learners' Internet self-efficacy and their sources of Internet self-efficacy. Two questionnaires, namely Internet Self-efficacy Survey (ISS) and Sources of Internet Self-efficacy Survey (SISS) were developed. The surveys were responded by 252 voluntary undergraduate and graduate students. Through exploratory factor analysis, seven factors including usage, sharing, communication, verification, metacognition, application, and learning emerged in ISS; three factors consisting of pre-experience, influence of others, and psychological and affective states were revealed by SISS. Gender differences were further explored, indicating that while females expressed more Internet anxiety, males were more likely to be influenced by others in the Internet-based environment. Finally, through correlation and regression analysis, it was found that the factor of pre-experience could predict all the factors in ISS, while the factor of influence of others could only predict the factor of usage in ISS. It was hence inferred that users' pre-experience played a significant role, whereas the influence of others seemed to play a minor part in the development of learners' Internet self-efficacy.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 58 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
