The number of the massive open online courses (MOOCs) around the globe is on the rise. Despite the popularity of MOOCs, they have received less attention from faculty members around the globe compared to other less-traditional and digital education models. MOOCs can be challenging for teachers to use. As such, understanding how to facilitate teachers' adoption of MOOCs is very important to better promote their use. The aim of this research paper is to investigate the drivers of teachers' acceptance and use of MOOCs from the perspective of the extended unified theory of acceptance and use of technology (UTAUT2). An online survey was used to collect responses from university faculty in Taiwan. Partial least squares structural equation modeling (PLS-SEM) was utilized for data analysis. The findings reveal that performance expectancy, social influence, facilitating conditions, and price value facilitated teachers' behavioral intention to adopt MOOCs. Furthermore, facilitating conditions and behavioral intention determined teachers' adoption of MOOCs. However, effort expectancy and hedonic motivation failed to drive teachers' adoption of MOOCs. Based on the findings, several important theoretical and practical implications are discussed.
Organic solvent-exfoliated MoS2 nanosheets significantly improved the thermoelectric performance of flexible PEDOT:PSS thin films via the use of direct vacuum filtration.
Recently, a bioprotonic field-effect transistor with chitosan nanowire channel was demonstrated [Nat. Commun., 2011, 2, 476]. Here, it is interesting to find that solution-processed chitosan films with a large electric-double-layer (EDL) specific capacitance can also be used as the gate dielectrics for low-voltage individual SnO(2) nanowire transistors. The field-effect electron mobility, current on/off ratio and sub-threshold slope of such a hybrid SnO(2) nanowire device is estimated to be 128 cm(2) V(-1) s(-1), 2.3 × 10(4) and 90 mV per decade, respectively. Such low-voltage nanowire EDL transistors gated by chitosan-based proton conductors are promising for nanosensors and bioelectronics.
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