Moderating effects of gender differences on the relationships between perceived learning support, intention to use, and learning performance in a personalized e-learning

2020 ◽  
Vol 7 (2) ◽  
pp. 229-255 ◽  
Author(s):  
Charoenchai Wongwatkit ◽  
Patcharin Panjaburee ◽  
Niwat Srisawasdi ◽  
Pongpon Seprum
2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 320-320
Author(s):  
Yi-Hsuan Tung ◽  
Shinyi Wu ◽  
Iris Chi

Abstract As a growing body of literature examining the effects of mHealth for older adults’ diabetes self-management, how relational factors affect seniors adopting mHealth is still unclear. Guided by the transactional approach of intergenerational relations and the technology acceptance model, this study aims at investigating the perceived ease-of-use, perceived usefulness, and intention-to-use of a mHealth app among older adults with Type-2 diabetes in relation to familial (parent-child) relationship and to e-learning support from child/ren or from external youth volunteering tutors. Using data from the Intergenerational Mobile Technology Opportunities Program (IMTOP), 304 Taiwanese participants (an average age of 64.6 years, 43% female, and 62.5% received at least a high school degree) who had at least a child were included for analysis using structural equation modeling. Results showed that perceived ease-of-use (β = .58, p < .001) and perceived usefulness (β = .27, p < .001) are significant predictors of intention-to-use. Positive associations are found only between external intergenerational, but not familial, e-learning support and perceived ease-of-use (β = .45, p < .001) and perceived usefulness (β = .42, p < .001). Parent-child relationship is positively associated with both familial (β = .73, p < .001) and external intergenerational support for e-learning (β = .36, p < .001), as well as directly (β = .12, p = .030) and indirectly related to intention-to-use. Our findings suggest the importance of intergenerational relationship and appreciation of both familial and external support to facilitate and sustain older adults’ adoption for mHealth programs.


2010 ◽  
Vol 2 (2) ◽  
pp. 367-371 ◽  
Author(s):  
Manuel Cuadrado-García ◽  
María-Eugenia Ruiz-Molina ◽  
Juan D. Montoro-Pons

2021 ◽  
Vol 9 (2) ◽  
pp. 167-173
Author(s):  
Shagufta Shaheen ◽  
Mubasher Muhammad Kamran ◽  
Saira Naeem ◽  
Tahir Mahmood

The study's primary purpose is to explore the factors affecting the students' intention to use e-learning systems in the COVID pandemic. The model of the “Unified theory of acceptance and use of technology” (UTAUT) was used as a theoretical underpinning. The Independent variables include “performance expectancy, effort expectancy, social influence, facilitating condition,” and the dependent variable is the intention to use e-learning systems. The quantitative data were collected from the postgraduate and undergraduate students of the public universities of Lahore. A total of n=411 students were approached, out of which the responses of only 399 were considered valid and were used for Multiple linear regression through SPSS 25. It was a cross-sectional study. It was found that almost all constructs of the model have a significant positive impact on intention to use e-learning systems.  The study's main contribution is exposing the factors that affect the acceptance and use of e-learning systems. This study has several policy implications for policy experts of higher education”.


Author(s):  
Weiyuan Zhang ◽  
Yau Ling Cheng

<p>E-learning has become an increasingly important teaching and learning mode in educational institutions and corporate training. The evaluation of e-learning, however, is essential for the quality assurance of e-learning courses. This paper constructs a four-phase evaluation model for e-learning courses, which includes planning, development, process, and product evaluation, called the PDPP evaluation model. Planning evaluation includes market demand, feasibility, target student group, course objectives, and finance. Development evaluation includes instructional design, course material design, course Web site design, flexibility, student-student interaction, teacher/tutor support, technical support, and assessment. Process evaluation includes technical support, Web site utilization, learning interaction, learning evaluation, learning support, and flexibility. Product evaluation includes student satisfaction, teaching effectiveness, learning effectiveness, and sustainability. Using the PDPP model as a research framework, a purely e-learning course on Research Methods in Distance Education, developed by the School of Professional and Continuing Education at the University of Hong Kong (HKU SPACE) and jointly offered with the School of Distance Learning for Medical Education of Peking University (SDLME, PKU) was used as a case study. Sixty students from mainland China, Hong Kong, Macau, and Malaysia were recruited for this course. According to summative evaluation through a student e-learning experience survey, the majority of students were very satisfied/satisfied on all e-learning dimensions of this course. The majority of students thought that the learning effectiveness of this course was equivalent, even better, than face-to-face learning because of cross-border collaborative learning, student-centred learning, sufficient learning support, and learning flexibility. This study shows that a high quality of teaching and learning might be assured by using the systematic PDPP evaluation procedure. It is hoped that the PDPP evaluation model and its application can provide a benchmark for establishing a wider e-learning quality assurance mechanism in educational institutions.</p><input id="gwProxy" type="hidden" /><input id="jsProxy" onclick="if(typeof(jsCall)=='function'){jsCall();}else{setTimeout('jsCall()',500);}" type="hidden" /><input id="gwProxy" type="hidden" /><input id="jsProxy" onclick="if(typeof(jsCall)=='function'){jsCall();}else{setTimeout('jsCall()',500);}" type="hidden" />


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