12/31/2022 0 Comments Suitability of procedural programs![]() Overall findings suggest that YouTube may augment its function as a common channel for procedural learning and instruction. Our proposed model explained 43.8% of the variance in behavioral intention. However, perceived ease of use was not significantly predictive of either perceived usefulness or behavioral intention. Moreover, task-technology fit, content richness, vividness, and YouTube self-efficacy emerged as significant predictors of perceived usefulness. The results derived from fitting the structural equation model on the sample indicated that behavioral intention was significantly influenced by both perceived usefulness and user satisfaction. In the program, different procedures are inputted by the programmer, thus building a program. D1 Procedural programming is based on programs that runs in the series of 'steps'. Sample data was collected from 432 respondents who were given the opportunity to engage in procedural learning through YouTube in a lab setting. Programming Monday, 3 November 2014 Suitability of Procedural Languages for Graphical Applications. Additionally, the four first-order constructs of user satisfaction, content richness, vividness, and YouTube self-efficacy, as well as one second-order construct of content richness, were additionally incorporated into the framework by elaborating the theoretical structure. ![]() Our conceptual framework included two proximal antecedents of behavioral intention as proposed by the TAM – perceived usefulness and perceived ease of use. ![]() Most importantly, this research emphasizes the motives for using YouTube, which is notable given its extrinsic task goal of being used for procedural learning tasks. ![]() The present study was framed using the Technology Acceptance Model (TAM) to identify determinants affecting behavioral intention to use YouTube. ![]()
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