2013
DOI: 10.5032/jae.2013.04149
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Factrs Influencing Agricultural Leadershp Students' Behavioral Intentions: Examining the Potental Use of Mobile Technology in Courses

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Cited by 6 publications
(4 citation statements)
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“…Results of the study suggested that these three theories combined "accounted for variance in students' behavioral intention towards mobile technology acceptance" (Strong et al, 2013, p. 156). Regarding the UTAUT, it was found that student's level of selfefficacy and self-directedness influenced behavioral intention in accepting mobile technology (Strong et al, 2013). Strong et al (2013) stated that according to Venkatesh et al (2003), 70% of an individual's acceptance of mobile technology could be explained by the UTAUT.…”
Section: Theoretical Frameworkmentioning
confidence: 99%
“…Results of the study suggested that these three theories combined "accounted for variance in students' behavioral intention towards mobile technology acceptance" (Strong et al, 2013, p. 156). Regarding the UTAUT, it was found that student's level of selfefficacy and self-directedness influenced behavioral intention in accepting mobile technology (Strong et al, 2013). Strong et al (2013) stated that according to Venkatesh et al (2003), 70% of an individual's acceptance of mobile technology could be explained by the UTAUT.…”
Section: Theoretical Frameworkmentioning
confidence: 99%
“…According to King, Rollins (1995) and Straub (2009), there are several things to consider when trying to move any technovation tools such as easy, useful for achieving existing requirements and low capital investment. In addition, many researchers agree that consumers are more willing to use technovation tools when its provide more advantage, easy to use and high level of reliability (Mac Callum et al 2014;Shahbaz et al 2012;Strong et al 2013). It can be concluded that factors influencing of technovation acceptance are varied according to the particular situation.…”
Section: Technovation Acceptance and Usementioning
confidence: 99%
“…Irby & Strong, for example, found agricultural educators had positive attitudes of mobile technologies for learning . In another study with agricultural leadership students, they found that self-efficacy, or the ability to lead one's own learning, was one of the main drivers of mobile learning acceptance (Strong, Irby, & Dooley, 2013).…”
Section: Introductionmentioning
confidence: 99%
“…Additionally, research noted that students believe that mobile learning would be adaptable into their educational context and would in various ways enhance the learning dynamic in efficient ways Strong, Irby, & Dooley, 2013) As m-learning opportunities become both more robust and accessible, the goal of agricultural education creators is to provide CCAs with educational programming that is both convenient and user-friendly.…”
Section: Introductionmentioning
confidence: 99%