2012
DOI: 10.1080/0144929x.2012.681067
|View full text |Cite
|
Sign up to set email alerts
|

The impact of self-efficacy and perceived system efficacy on effectiveness of virtual training systems

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

1
23
0

Year Published

2013
2013
2023
2023

Publication Types

Select...
7
3

Relationship

0
10

Authors

Journals

citations
Cited by 39 publications
(24 citation statements)
references
References 65 publications
1
23
0
Order By: Relevance
“…Teaching self-efficacy is one of the most important factors that impacts the instructor’s success in the educational process, because this anticipates the instructors’ capacity to face inevitable challenges in the online teaching environment (Horvitz et al , 2014). Instructors’ self-efficacy toward the virtual learning environment plays a major role in accomplishing successfully the tasks assigned to them (Jia et al , 2014). Zheng et al (2018) found that the most important factor that enhances faculty self-efficacy toward the LMS is the availability of organizational support, such as providing sufficient training and technical support.…”
Section: Literature Review and Hypotheses Developmentmentioning
confidence: 99%
“…Teaching self-efficacy is one of the most important factors that impacts the instructor’s success in the educational process, because this anticipates the instructors’ capacity to face inevitable challenges in the online teaching environment (Horvitz et al , 2014). Instructors’ self-efficacy toward the virtual learning environment plays a major role in accomplishing successfully the tasks assigned to them (Jia et al , 2014). Zheng et al (2018) found that the most important factor that enhances faculty self-efficacy toward the LMS is the availability of organizational support, such as providing sufficient training and technical support.…”
Section: Literature Review and Hypotheses Developmentmentioning
confidence: 99%
“…explored in present research. While numerous studies have demonstrated benefits of VR training on learning/skill performance (Cannon et al 2014;Cates, Lönn, and Gallagher 2016;Saleh et al 2013;Zhang et al 2017;Jia, Bhatti, and Nahavandi 2014) only a few studies have specifically examined the cognitive demands of VR training (Lee and Lee 2017;Chao et al 2017). The work of Sweller et al (2011a; on cognitive load in instructional design identified three cognitive load types (intrinsic, germane and extraneous cognitive load) which additively generate the aggregated cognitive demand, i.e.…”
Section: Virtual Reality Training and Mental Workloadmentioning
confidence: 99%
“…Presence questionnaires and other measures can provide valuable insight into these issues (Witmer & Singer, 1998;Jennett et al, 2008). Perceptions of system efficacy, such as immersion, have been shown to influence performance outcomes in training environments (Jia, Bhatti, & Nahavandi, 2012). Quantifying the impact of behavioral trends on immersion would help define their role in training and gaming environments.…”
Section: Discussionmentioning
confidence: 99%