2016
DOI: 10.14569/ijacsa.2016.071246
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Credibility Evaluation of Online Distance Education Websites

Abstract: Abstract-Web credibility is becoming a significant factor in increasing user satisfaction, trust, and loyalty. Web credibility is particularly important for people who cannot visit an institution for one reason or other and mostly depend on the website, such as online distance education students. Accordingly, universities and educational websites need to determine the types of credibility problems they have on their websites. However, far too little attention has been paid to providing detailed information reg… Show more

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Cited by 6 publications
(2 citation statements)
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“…AI is useful to predict implant prognosis through analysis of osseointegration success, risk factors, and bone anatomy along with finite element analysis calculations [36]. Different AI models including regression analysis, decision tree learning, logistic regression, and classifier neural network is useful to predict implant success [37][38][39]. AI models can also be used to identify the stress at implant-bone interface by using implant length, thread length, and thread pitch [40].…”
Section: Ai and Implantologymentioning
confidence: 99%
“…AI is useful to predict implant prognosis through analysis of osseointegration success, risk factors, and bone anatomy along with finite element analysis calculations [36]. Different AI models including regression analysis, decision tree learning, logistic regression, and classifier neural network is useful to predict implant success [37][38][39]. AI models can also be used to identify the stress at implant-bone interface by using implant length, thread length, and thread pitch [40].…”
Section: Ai and Implantologymentioning
confidence: 99%
“…Notably, already found that perceived credibility was associated with PEOU and PU in their study of students' acceptance of and satisfaction with learning through course websites. Another impact that CRE has as per Al‐Omar (2016) who conducted research on credibility evaluation of e‐learning websites is on ATT. Reiterating the same is the work of Kim et al (2012) which discovered that information quality in which credibility plays a key role was associated with user satisfaction that was assessed by satisfaction, utility, and attitude towards the use of content management systems in e‐learning.…”
Section: Literature Reviewmentioning
confidence: 99%