Gender and Acceptance of E-Learning: A Multi-Group Analysis Based on a Structural Equation Model among College Students in Chile and Spain

Ramírez-Correa, Patricio; Arenas-Gaitán, Jorge; Cataluña, Francisco Javier Rondán

doi:10.1371/journal.pone.0140460

Cited by 115 publications

(120 citation statements)

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“…Davis (1993) believes that both PU and PEU play an important role in predicting the attitude of people towards a system, but the effect of PU is 50% more than PEU [36]. Results of several studies indicate that, PU and PEU have a significant effect on the user's satisfaction and the intention to use a system (ie; m-learning and e-learning), [37,38]. We also believe that, if students consider the use of mobile useful and easy in learning process, they will have a greater tendency and a more positive attitude toward m-learning.…”

Section: Discussionmentioning

confidence: 99%

Investigating factors affecting on medical sciences students’ intention to adopt mobile learning

Azizi

Khatony

2019

BMC Med Educ

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Background: Mobile learning (m-learning) provides a good opportunity for students' lifelong learning. The design and implementation of effective and successful mobile learning requires identification of factors that affect m-learning. The aim of this study was to investigate the factors that affect the intention of students of medical sciences to adopt mobile learning based on theory of planned behavior (TPB). Methods: In this cross-sectional study, 332 students of medical sciences were randomly selected. The study tool was a based a questionnaire that had been designed based on TPB model. Descriptive statistics (mean, standard deviation, frequency and percentage) were calculated. In order to determine the standardized factor loading and assess the study hypotheses, structural equation modeling was used. Composite reliability, average variance extracted, and standardized factor loading were used to determine the convergent validity. Results: The mean of mobile learning readiness was 3.59 ± 0.83. Among the TPB structures, the structures of attitude (β = 0.525) and behavioral control (β = 0.318) had positive and significant effect on the intention to adopt m-learning (P ≤ 0.01). However, the structure of subject norm did not have a significant effect on the intention to adopt m-learning. In general, attitude, behavioral control and subject norm structures were 0.675 determinants of the intention to adopt m-learning (r 2 = 0.675). Conclusions: In this study Mobile learning readiness of the students was at moderate level. Also the results indicated Positive and significant effect of attitude and behavioral control on the intention of students to accept m-learning. The TPB-based model was a suitable model for identifying psychological factors that affect the intention of students of medical sciences to adopt m-leaning. In order to increase the students' acceptance of mobile learning, we suggest that, other psychological, behavioral, social, and cultural factors that affect the acceptance of m-learning should be identified. Educational programs are also suggested to be introduced to students to familiarize them with the mlearning and its application in learning process.

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Section: Discussionmentioning

confidence: 99%

Investigating factors affecting on medical sciences students’ intention to adopt mobile learning

Azizi

Khatony

2019

BMC Med Educ

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“…16 The higher response of female staff than males was also, reported previously by Ramírez-Correa. 17 They concluded that significant differences between males and females when adopting an e-learning platform training were documented in their study. Moreover, one of the obvious finding in our study is that junior staff are more keen on participation in online courses and training than seniors.…”

Section: Discussionmentioning

confidence: 91%

Faculty development needs assessment for online teaching

Elsamanoudy

Aboukamer

Ghoneim

et al. 2018

Int J Community Med Public Health

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Background: Academic staff members, who are responsible for teaching and training, should be aware of the principle of online course design, development, and implementation. The aim of this study is to evaluate instructors’ skills and needs for conducting distance learning healthcare courses, including the level of assistance they need to implement and use online and software tools in online courses.Methods: The current study applied online faculty survey used by the Center for Teaching Excellence, University of South Carolina to assess the faculty’s instructional technology needs for training and support. The survey asked faculty staff about a broad number of classroom and online technologies, with a helpful response scale that reveals not only what the faculty is already using, but also what the instructors want to use and what they need help with.Results: The results of this study revealed a significant need of faculty staff members for the training and development of their skills in almost all tools used for conducting online courses. The female responder was higher than males. Regarding the use of software, although the majority of participating staff members in this study use almost all software tools required for conducting online healthcare courses, they expressed a need for help in developing new ideas to use the software effectively.Conclusions: From this study, it could be concluded that it is essential to organize comprehensive faculty development training courses for staff members to help them in conducting their online courses or converting their face-to-face courses to blended courses effectively.

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“…Penelitian ini bertujuan untuk secara empiris menyelidiki beberapa anteseden seperti kepercayaan, risiko, dan kredibilitas, serta pengaruhnya terhadap niat bertransaksi secara online dengan menguji model penerimaan teknologi. Selain itu, penelitian ini berupaya memperkaya atau mengembangkan TAM di mana studi-studi terdahulu hanya berfokus seperti pada penerimaan model teknologi online social network site (Ngiam dan Chaiyasoonthorn, 2011), e-learning (Correa et al 2015), information communication technology (Salman et al 2014), internet banking (Danurdoro, 2016), penggunaan Instagram untuk pembelian online (Indrayana et al 2016), dan 3D food printing (Groot, 2018). Penelitian ini berupaya mengembangkan dan menambahkan konstruk internet use sebagai determinan perceived usefulness dan perceived ease of use dalam konteks e-commerce berbasis mobile platform di Indonesia serta pengaruh single construct lain seperti credibility, trust, dan risk yang juga berperan terhadap pengembangan TAM.…”

Section: Pendahuluanunclassified

Analisis Niat Pembelian Ulang E-Comerce Mobile dengan Pendekatan Technology Acceptance Model (TAM)

Rachbini

Salim

Haque

et al. 2019

JABM

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This research aims to test several antecedents as trust, risk, credibility, internet use, and those impact on intention for online transactions via e-commerce mobile platform and Technology Acceptance Model. The research integrated the Technology Acceptance Model (TAM) with four main constructs, namely internet use, trust, credibility, and risk, which is very important to predict individual acceptance of online transactions. Research methods were using structural equation model analysis (SEM), path analysis, and confirmatory factor analysis (CFA) of AMOS 24.0 to examine all the hypotheses, reliability, and validity for each indicator or measuring instrument. The research findings show that credibility and trust played an important role in online transaction acceptance in the e-commerce industry. Furthermore, the findings consistently supported previous studies of TAM where perceived ease of use and perceived usefulness played a role in both directly and indirectly on repurchase intention of mobile e-commerce platform. This study implied that e-commerce players must pay attention to simplifying the customer journey. Another implication was to communicate the credibility and trust aspects to the consumers. Thus the customers could understand and could be convinced that mobile e-commerce platforms are credible shopping market.

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Gender and Acceptance of E-Learning: A Multi-Group Analysis Based on a Structural Equation Model among College Students in Chile and Spain

Cited by 115 publications

References 50 publications

Investigating factors affecting on medical sciences students’ intention to adopt mobile learning

Investigating factors affecting on medical sciences students’ intention to adopt mobile learning

Faculty development needs assessment for online teaching

Analisis Niat Pembelian Ulang E-Comerce Mobile dengan Pendekatan Technology Acceptance Model (TAM)

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