scholarly journals The Effectiveness web-based Educational Program on Optimal Use of Smartphones among Students with Nomophobia based on Self-Efficacy Theory: The Role of the Medical Librarian

2021 ◽  
Vol 9 (3) ◽  
pp. 246-257
Author(s):  
Zahra Khosravi ◽  
Homamodin Javadzade ◽  
Marzieh Mahmoodi ◽  
Reza Basirian-Jahromi ◽  
◽  
...  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Nimitha Aboobaker ◽  
Muneer K.H.

Purpose In the context of the abrupt shift to technology-enabled distance education, this paper examines the role of intrinsic learning motivation, computer self-efficacy and learning engagement in facilitating higher learning effectiveness in a web-based learning environment. Design/methodology/approach Data was collected using a self-administered online questionnaire from a sample of randomly selected 508 university students from different disciplines, including science, technology, and management. Findings Learning motivation and computer self-efficacy positively influenced students' learning engagement, with computer self-efficacy having a more substantial impact. Proposed mediation hypotheses too were supported. Originality/value The insights gained from this study will help in devising strategies for improving students' learning effectiveness. Game-based learning pedagogy and computer simulations can help students understand the higher meaning and purpose of the learning process.


Author(s):  
Qingxiong Ma ◽  
Liping Liu

The technology acceptance model (TAM) stipulates that both perceived ease of use (PEOU) and perceived usefulness (PU) directly influence the end user’s behavioral intention (BI) to accept a technology. Studies have found that self-efficacy is an important determinant of PEOU. However, there has been no research examining the relationship between self-efficacy and BI. The studies on the effect of self-efficacy on PU are also rare, and findings are inconsistent. In this study, we incorporate Internet self-efficacy (ISE) into the TAM as an antecedent to PU, PEOU, and BI. We conducted a controlled experiment involving a Web-based medical record system and 86 healthcare subjects. We analyzed both direct and indirect effects of ISE on PEOU, PU, and BI using hierarchical regressions. We found that ISE explained 48% of the variation in PEOU. We also found that ISE and PEOU together explained 50% of the variation in PU, and the full model explained 80% of the variance in BI.


2010 ◽  
Vol 7 (2) ◽  
pp. 176-183 ◽  
Author(s):  
John C. Spence ◽  
Chris M. Blanchard ◽  
Marianne Clark ◽  
Ronald C. Plotnikoff ◽  
Kate E. Storey ◽  
...  

Background:The purposes of this study were to determine if a) gender moderated the relationship between self-efficacy and physical activity (PA) among youth in Alberta, Canada, and, alternatively b) if self-efficacy mediated the relationship between gender and PA.Methods:A novel web-based tool was used to survey a regionally diverse sample of 4779 students (boys = 2222, girls = 2557) from 117 schools in grades 7 to 10 (mean age = 13.64 yrs.). Among other variables, students were asked about their PA and self-efficacy for participating in PA.Results:Based upon a series of multilevel analyses, self-efficacy was found to be a significantly stronger correlate of PA for girls. But, boys had significantly higher self-efficacy compared with girls, which resulted in significantly more PA.Conclusions:Findings suggest self-efficacy is an important correlate of PA among adolescent girls but that boys are more physically active because they have more self-efficacy for PA.


2008 ◽  
pp. 1101-1117
Author(s):  
Qingxiong Ma ◽  
Liping Liu

The technology acceptance model (TAM) stipulates that both perceived ease of use (PEOU) and perceived usefulness (PU) directly influence the end user’s behavioral intention (BI) to accept a technology. Studies have found that self-efficacy is an important determinant of PEOU. However, there has been no research examining the relationship between self-efficacy and BI. The studies on the effect of self-efficacy on PU are also rare, and findings are inconsistent. In this study, we incorporate Internet self-efficacy (ISE) into the TAM as an antecedent to PU, PEOU, and BI. We conducted a controlled experiment involving a Web-based medical record system and 86 health care participants. We analyzed both direct and indirect effects of ISE on PEOU, PU, and BI using hierarchical regressions. We found that ISE explained 48% of the variation in PEOU. We also found that ISE and PEOU together explained 50% of the variation in PU, and the full model explained 80% of the variance in BI.


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