Key characteristics in designing massive open online courses (MOOCs) for user acceptance: an application of the extended technology acceptance model

Tao, Da; Pei, Fei; Wang, Yunhui; Zhang, Tingru; Qu, Xingda

doi:10.1080/10494820.2019.1695214

Cited by 95 publications

(125 citation statements)

References 57 publications

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“…Perceived ease of use , on the other hand, is the degree to which one thinks usage of that system is effort-free [ 10 ]. User acceptability of a variety of technologies (eg, service robots [ 18 ], e-learning systems [ 18 , 20 , 21 ], and assistive social robots [ 22 ]) have been evaluated by employing the TAM. To the best of our knowledge, this study is the first to gauge acceptance of service robots by nurses via perceived usefulness and perceived ease of use subscales of the TAM.…”

Section: Methodsmentioning

confidence: 99%

Acceptability of Using a Robotic Nursing Assistant in Health Care Environments: Experimental Pilot Study

et al. 2020

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Background According to the US Bureau of Labor Statistics, nurses will be the largest labor pool in the United States by 2022, and more than 1.1 million nursing positions have to be filled by then in order to avoid a nursing shortage. In addition, the incidence rate of musculoskeletal disorders in nurses is above average in comparison with other occupations. Robot-assisted health care has the potential to alleviate the nursing shortage by automating mundane and routine nursing tasks. Furthermore, robots in health care environments may assist with safe patient mobility and handling and may thereby reduce the likelihood of musculoskeletal disorders. Objective This pilot study investigates the perceived ease of use and perceived usefulness (acceptability) of a customized service robot as determined by nursing students (as proxies for nursing staff in health care environments). This service robot, referred to as the Adaptive Robotic Nurse Assistant (ARNA), was developed to enhance the productivity of nurses through cooperation during physical tasks (eg, patient walking, item fetching, object delivery) as well as nonphysical tasks (eg, patient observation and feedback). This pilot study evaluated the acceptability of ARNA to provide ambulatory assistance to patients. Methods We conducted a trial with 24 participants to collect data and address the following research question: Is the use of ARNA as an ambulatory assistive device for patients acceptable to nurses? The experiments were conducted in a simulated hospital environment. Nursing students (as proxies for nursing staff) were grouped in dyads, with one participant serving as a nurse and the other acting as a patient. Two questionnaires were developed and administrated to the participants based on the Technology Acceptance Model with respect to the two subscales of perceived usefulness and perceived ease of use metrics. In order to evaluate the internal consistency/reliability of the questionnaires, we calculated Cronbach alpha coefficients. Furthermore, statistical analyses were conducted to evaluate the relation of each variable in the questionnaires with the overall perceived usefulness and perceived ease of use metrics. Results Both Cronbach alpha values were acceptably high (.93 and .82 for perceived usefulness and perceived ease of use questionnaires, respectively), indicating high internal consistency of the questionnaires. The correlation between the variables and the overall perceived usefulness and perceived ease of use metrics was moderate. The average perceived usefulness and perceived ease of use metrics among the participants were 4.13 and 5.42, respectively, out of possible score of 7, indicating a higher-than-average acceptability of this service robot. Conclusions The results served to identify factors that could affect nurses’ acceptance of ARNA and aspects needing improvement (eg, flexibility, ease of operation, and autonomy level).

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Section: Methodsmentioning

confidence: 99%

Acceptability of Using a Robotic Nursing Assistant in Health Care Environments: Experimental Pilot Study

et al. 2020

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“…Effort expectation touches behavioral objectives more saliently in the stage of early adoption (Venkatesh & Davis, 2000): the adoption process of new technology would be constrained if the designers fail to pay adequate attention to the ease of use (Orlikowski, 1992). In previous studies, an optimistic correlation between effort expectancy and users’ technology acceptance (Dwivedi et al, 2019; Tao, Shao, et al, 2020; Zhou et al, 2010) as well as performance expectancy (Cimperman et al, 2016; Tao et al, 2019; Venkatesh et al, 2003) is tested. For example, Shih et al (2013) show that the degree of convenience expected by the consumers is positively correlated with consumers’ online shopping attitudes.…”

Section: Theories and Hypothesis Developmentmentioning

confidence: 99%

Determinants of Consumer’s Purchase Intention on Fresh E-Commerce Platform: Perspective of UTAUT Model

et al. 2021

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Despite the booming market of fresh food, the fresh e-commerce platform holds only a limited market share, owing to the lack of habitual usage of these platforms. This article explores the determinants of purchase intention when using a fresh e-commerce platform. The integrated technology acceptance model (Unified Theory of Acceptance and Use of Technology [UTAUT]) is employed as the framework. A questionnaire survey was conducted and is analyzed using the structural equation model. We find that both performance expectancy and social influence have a significantly positive effect on consumers’ purchase intention using fresh e-commerce platforms, while perceived risk has a significantly negative effect. Perceived trust plays a mediating role between performance expectancy and purchase intention, social influence and purchase intention, as well as perceived risk and purchase intention. In addition, food safety awareness is a moderator between perceived trust and purchase intention.

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“…In our analysis of factors in the TAM, attitude was considered a direct and positive factor that determined an individual's intention and behavior. The TAM assumed that two main factors, perceived usefulness and perceived ease of use, determined an individual's attitude toward a new MOOC technology as well as the behavioral intention to use it (Joo et al, 2018;Shao, 2018;Tao et al, 2019;Wu & Chen, 2017). To some extent, perceived usefulness also had a direct impact on the learner's behavior.…”

Section: Is Successmentioning

confidence: 99%

A Systematic Review of Questionnaire-Based Quantitative Research on MOOCs

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Cui

Huang

et al. 2021

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Massive open online courses (MOOCs) have attracted much interest from educational researchers and practitioners around the world. There has been an increase in empirical studies about MOOCs in recent years, most of which used questionnaire surveys and quantitative methods to collect and analyze data. This study explored the research topics and paradigms of questionnaire-based quantitative research on MOOCs by reviewing 126 articles available in the Science Citation Index (SCI) and Social Sciences Citation Index (SSCI) databases from January 2015 to August 2020. This comprehensive overview showed that: (a) the top three MOOC research topics were the factors influencing learners’ performance, dropout rates and continuance intention to use MOOCs, and assessing MOOCs; (b) for these three topics, many studies designed questionnaires by adding new factors or adjustments to extant theoretical models or survey instruments; and (c) most researchers used descriptive statistics to analyze data, followed by the structural equation model, and reliability and validity analysis. This study elaborated on the relationship of research topics and key factors in the research models by building factors-goals (F-G) graphs. Finally, we proposed some directions and recommendations for future research on MOOCs.

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Key characteristics in designing massive open online courses (MOOCs) for user acceptance: an application of the extended technology acceptance model

Cited by 95 publications

References 57 publications

Acceptability of Using a Robotic Nursing Assistant in Health Care Environments: Experimental Pilot Study

Acceptability of Using a Robotic Nursing Assistant in Health Care Environments: Experimental Pilot Study

Determinants of Consumer’s Purchase Intention on Fresh E-Commerce Platform: Perspective of UTAUT Model

A Systematic Review of Questionnaire-Based Quantitative Research on MOOCs

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