scholarly journals The Relationship between Computer Anxiety and Computer Self-Efficacy

2011 ◽  
Vol 2 (3) ◽  
Author(s):  
Ali Simsek
Author(s):  
James P. Downey ◽  
R. Kelly Rainer Jr. ◽  
Summer E. Bartczak

Computer self-efficacy is known to operate at multiple levels, from application-specific sub-domains like spreadsheets to a judgment of ability for the entire computing domain (general computer self-efficacy- GCSE). Conventional wisdom and many recent studies contend that the level of self-efficacy (specific to general) should match the level of its related constructs to maximize predictive power (Bandura, 1997; Chen, et al., 2001; Pajares, 1996). This thinking claims, for example, that GCSE should be used with a general attitude like computer anxiety (and vice versa). This study examines whether such a limitation is theoretically and empirically sound, given that SE judgments generalize across domains. Results indicate any self-efficacy judgment (specific or general) significantly relates to both general and domain-specific constructs. These results suggest that an individual’s cognitive processing of ability level is multi-faceted; that is, every SE judgment consists of general and specific components. The implication is that CSE is simultaneously generalizable and formative in nature. The results also suggest that the relationship between general and specific CSE is mediated by one’s ability level in the specific domain.


2017 ◽  
Vol 10 (3) ◽  
pp. 91-108
Author(s):  
Adeneye O.A. Awofala ◽  
◽  
Sabainah O. Akinoso ◽  
Alfred O. Fatade ◽  
◽  
...  

2021 ◽  
Vol 9 (3) ◽  
pp. 800-806
Author(s):  
Hacer Kömürcü ◽  

This research aims to determine the relationship between the computer use related self-efficacy perceptions and academic success of conservatory students in distance education during the COVID-19 pandemic. The sample group of the study consists of 130 students who received distance education at Zonguldak Bülent Ecevit University State Conservatory during the COVID-19 pandemic. The quantitative data of the study were obtained via the "Computer Self-Efficacy Perception Scale" developed by Aşkar and Umay, and the academic success scores were obtained through correspondence with the conservatory administration. The demographic characteristics of the participants including gender, branch, age, and class information in the sample group were collected through a form prepared by the researcher. SPSS 21.0 program was used in the analysis of the research data. The data was analysed using a t-test, ANOVA and correlation and regression analyses. According to the results of the research, there is a positive, significant, and moderate relationship between conservatory students' computer self-efficacy perceptions and their academic success scores in distance education. The current study revealed that conservatory students' computer self-efficacy perceptions are a predictor of the academic success scores in distance education and can explain 30.2% of the academic success score. Gender, branch, age, and class variables do not have a significant effect on academic success scores and computer self-efficacy perceptions.


2019 ◽  
Vol 3 (2) ◽  
pp. 141
Author(s):  
Nujmatul Laily ◽  
Fenty Shintya Riadani

This research aims at analyzing the influence of one’s anxiety in using computer (computer anxiety), age and gender on perceived ease of use of e-learning by accounting lecturers through their self-efficacy in using computer (computer self-efficacy). The population used in this research is all 34 lecturers at accounting department in X University and the sample is taken using saturated sampling technique since the number of respondents is limited. The data are collected by distributing questionnaire to lecturers.  The hypotheses are tested using path analysis test. The research results indicate that: (1) Computer anxiety has insignificant influence on perceived ease of use through computer self-efficacy. (2) Respondent’s age has insignificant influence on perceived ease of use through computer self-efficacy. (3) Respondent’s gender has insignificant influence on perceived ease of use through computer self-efficacy.


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