While most of the prior research explaining internet usage has followed the conventional. Predictors of mobile internet usage in 10 african countries enrico calandro, uctresearch ict africa. Exploring predictors of wireless internet adoption in the workplace. Prevalence and correlates of excessive internet use among youth in singapore subramaniam mythily, 1mbbs, mhsm, shijia qiu,bsc. You may be wondering, what exactly is the internet, and how does it work. Listed below is a sample survey that gathers data on the asks how much certain people use the internet and what they use it for. In contrast, it was found that the best predictors of frequent or excessive internet use were location of use such as at work, and other behaviors such as checking ones business and personal emails. Those with higher levels of education or family income were less likely. Predictors of mobile internet usage in 10 african countries enrico calandro, uctresearch ict africa rong wang, usc annenberg school of communication. Who uses mobile phone health apps and does use matter. The model of problematic internet use advanced and tested in the current study proposes that individuals psychosocial wellbeing, along with their beliefs about interpersonal communication both facetoface and online are important cognitive predictors of negative outcomes arising from internet use.
One reason for its growth and popularity is that the users can access uptodate and pin pointed. Be among the first people to experience smallpdf on desktop to enjoy. The internet provides numerous educational advantages, but too much internet use can lead to. Prevalence and correlates of excessive internet use among. Possible predictors of internet addiction article in cyberpsychology, behavior, and social networking 163 december 2012 with 289 reads. This booklet is intended for use by desktop computer users. Relations among loneliness, social anxiety, and problematic. Students technology use and the impacts on wellbeing. Predictors of active users and frequency of use christos emmanouilides kathy hammond f abstract the factors that predict internet usage patterns are explored through the use of consumer panel data. Gender, marital status, region, and employment variables appeared to have no influence.
This report provides an overview of refugee youth mobile phone and internet use as well as an infrastructure assessment. Completing work, playing games online, reading and writing emails, and engaging in communication are common activities involving internet use 2. Therefore a dichotomous outcome variable was created differentiating those students who used the app five times or less from. Keying for long periods of time without breaks or rest using force when striking the keyboard or when gripping the pointing device e. Your participation in this study is voluntary, and your answers. Prevalence of internet addiction and its associated factors. An overview on computer and internet use and related. Internet use and ehealth literacy among healthcare professionals in a resource limited setting. The internet provides numerous educational advantages, but too much internet use can lead to unfavorable outcomes such as social isolation and poor academic achievement.
The present study will present predictors of internet access and internet. In this paper, using data gathered in a user survey, we present an analysis of the correlation between the users willingness to personalize web search and their social network usage patterns. In an article posted in, the author suggested that race plays a prominent role and is one of the top predictors of the different type of internet use. People now tend to simultaneously make use of both web search engines and social networking services when faced with an information need.
Problematic internet use is closely related to sleep deprivation. University students internet use and its relationships. Social media and entertainment sme, and work and information wi. Online survey participation via mobile devices aapor 20, boston, ma may 18, 20 michael bosnjak, teresio poggio, kai r. Document management portable document format part 1. Predictors of mobile internet usage in 10 african countries. Pdf format is a file format developed by adobe in the 1990s to present documents, including text formatting and images, in a manner independent of application software, hardware, and operating systems. Internet activities and technologies that are increasing. Pdf the use of the internet for educational purposes. It also seems that male students are more likely to become internet dependent because they are more experienced in using the internet, receive less parental supervision and use the internet for entertainment purposes more than females do the results of the present study revealed that selfesteem was significantly and negatively correlated with internet addiction among students. Attributes of digital natives as predictors of information. There are severa l specific applications of pdf that have evolved where limiting the use of some features of pdf and requiring the use of others, enhances the usefulness of pdf. The sociodemographic characteristics of the respondents. Introduction to the internet part 1 beginners guide tech savvy seniors the nsw tech savvy seniors program is a key initiative of the nsw ageing strategy and the telstra digital literacy.
The new psychological disorder of internet addiction is fast accruing both popular and professional recognition. Yet while gaps in internet adoption persist, some have narrowed in the past decadeas shown in the table below. Selfesteem, daily internet use and social media addiction. Relationship between problematic internet use, sleep problems. How do businesses and individuals use the internet. The study was based on data drawn from a national survey of college students in taiwan. The objectives of our study were to 1 to describe the sociodemographic characteristics associated with health app use in a recent us nationally representative sample. Tested model was able to predict %28 of the depression among adolescents. However, it is very obvious that the internet provides not only social connection and entertainment, but also academic and scientific information as well. The internet has become an important component in the academic institutions as it plays a pivotal role in gathering information and communication needs of institutions and individuals. As mobile phone and internet use in zaatari refugee camp continue to grow, there is a need for a more clear understanding of the current modes of connection and patterns of use. Attributes of digital natives as predictors of information literacy in higher education.
The term predictor variable arises from an area of applied mathematic that uses probability. The respondents who were older or africanamericans were more likely to use the internet for activities other than email. You will learn to identify common desktop computer work. Over the past fourteen years, aided by the explosive growth of the internet, pdf has become widely used for the electronic exchange of documents.
These technologies are highly publicized, debated, and regulated media. An overview on computer and internet use and related statistics. We need to move beyond the old definition of an incomedriven gap in internet access and focus more on social processes and behaviour once access has been. Apr 19, 2017 the objectives of our study were to 1 to describe the sociodemographic characteristics associated with health app use in a recent us nationally representative sample. Parenting approaches and digital technology use of. Individuallevel predictors that refer to media ownership and use as well as demographic and psychological characteristics of audience, such as age, gender, sensation seeking, and polychronicity, vary based on the broader context related to national markets jeong and fishbein, 2007, kononova, 20. Full text internet use and ehealth literacy among health. Adolescents who initiated internet use before 7 years of age were significantly more likely to be excessive users as compared to adolescents who initiated internet use when they. Personality trait predictors of usage of internet services. Past studies have indicated that some patterns of internet use are associated with loneliness, shyness, anxiety, depression, and selfconsciousness, but there appears to be little consensus about internet addiction disorder. Relationship between problematic internet use, sleep. Predictors of media multitasking among internet users in the united states and taiwan. Without them, you would just have random answers without really knowing anything. Furthermore, while depression was associated with selfesteem and daily internet use directly, social media addiction was affecting depression indirectly.
Predictors of users willingness to personalize web search. Internet addiction is an increasing problem among university students worldwide. An analysis of student internet usage and its impact on. Becker, frederik funke, alexandra wachenfeld, beat fischer. What is the role of an internet service provider isp.
Aug 29, 2018 the reasons are presumed to be differences in research methods and participants among existing research, different purposes of use by sex and age, different standards and measurement tools of internet addiction predictors, different internet addiction rates by country, and more 39,50. Access to computermediated technologies, such as the internet, has extended our informational and interactive. Those with higher levels of education or family income were less likely to use the internet in this manner. The purpose of this booklet is to help you reduce your chances of being injured.
Apr, 2012 as of 2011, internet use remains strongly correlated with age, education, and household income, which are the strongest positive predictors of internet use among any of the demographic differences we studied. The model of problematic internet use advanced and tested in the current study proposes that individuals psychosocial wellbeing, along with their beliefs about interpersonal communication both facetoface. The predictor variable provides information on an associated dependent variable regarding a particular outcome. The objectives of the present study were to assess the prevalence of internet addiction and its associated factors among female students at jouf. Pdf predictors of womens internet access and internet. Also, broadband users used more advanced online services. In line with the cognitivebehavioral model of problematic internet use, the present study suggests the primary importance of. What is the importance of standards in the continuing growth of the internet.
It provides empirical evidence delineating the processes through which internet use affects wellbeing among college students, and provides suggestions for ways to advance future studies in this area and for higher. A large number of them have learned to use the internet tools by themselves, or relying on assistance from friends without attending any formal training programs. For more examples, you may also see marketing questionnaire to know more. A social cognitive explanation of internet uses and gratifications. When students are considered, the use of the internet is mainly for social and entertainment purposes. This study examined the relationships between university students internet use and students academic performance, interpersonal relationships, psychosocial adjustment, and self. One reason for its growth and popularity is that the users can access uptodate and pin pointed information with the help of these services in minimum cost than printed documents.
Ict ownership, ict experiences, internet confidence and number of ict. Prevalence and factors associated with internet addiction. General linear modelling analysis showed that sme was most significantly predicted by younger age, the frequency of internet use at public place, at friends and at home, openness to experience, lower education level, and the ethnic. Tech savvy seniors victorian tech savvy seniors introduction. This study investigated the relationship between personality traits and usage level of internet services through the multiple regression method. With the widespread use of such technologies, we require greater understanding of the personal and social attributes that affect why people use. General linear modelling analysis showed that sme was most significantly predicted by younger. Internet and computer survey examples pdf examples. Young children are using digital technology dt devices anytime and anywhere, especially with the invention of smart phones and the replacement of desktop computers with digital. As of 2011, internet use remains strongly correlated with age, education, and household income, which are the strongest positive predictors of internet use among any of the demographic differences we studied. Access to computermediated technologies, such as the internet, has extended our informational and interactive capabilities. University students internet use and its relationships with.
Synonyms for predictor at with free online thesaurus, antonyms, and definitions. Predictors of active users and frequency of use christos emmanouilides kathy hammond f abstract the factors that predict internet usage patterns are explored through. Prevalence and factors associated with internet addiction among medical students a crosssectional study in malaysia med j malaysia vol 72 no 1 february 2017 9 table i. This questionnaire is part of a study of computer and internet use. First, we present the patterns of access to and perceived utility of the. The internet and its uses objectives after completing this chapter, you should be able to answer the following questions. Parsons 2008 states that the digital divide goes beyond internet access to include factors such as technology literacy and skills to use the information. Dont worry, all the easy to use features from our website will follow soon. Aug 23, 2008 this study examined the relationships between university students internet use and students academic performance, interpersonal relationships, psychosocial adjustment, and selfevaluation. Respondents were given a list of 11 information technologies including desktop. An analysis of student internet usage and its impact on the. The findings revealed that selfesteem and social media addiction predict %20 of the daily internet use.
Whether use of the internet displaces or supplements use of traditional media remains inconclusive, but past research on effects of broadband use on narrowband internet in japan ishii, 2004 found that broadband users spent more time using the internet per week than did narrowband users. In this paper, using data gathered in a user survey, we present an analysis of the correlation between the users. Prevalence of internet addiction and its associated. Use of internet for research and educational activities. It provides empirical evidence delineating the processes through which internet use. But if you are new to the online experience, it may be a bit overwhelming. It has been finds out in the present study that the majority of students 92. Furthermore, selfesteem was found to be a significant predictor of internet addiction.
Youth mobile phone and internet use january 2015 za atari. When they experience its usefulness, their internet browsing and searching develop and become more effortless and less timeconsuming. Shyness and locus of control as predictors of internet. Hence, these parameters should be taken into consideration while promoting awareness of problematic internet use and educating students regarding healthy internet use. While most of the prior research explaining internet usage has followed the conventional uses and gratifications paradigm, some extensions and challenges to that prevailing theory of media attendance have emerged. Introduction to the internet part 1 beginners guide tech savvy seniors the nsw tech savvy seniors program is a key initiative of the nsw ageing strategy and the telstra digital literacy strategy. As of 2011, internet use remains strongly correlated with age, education, and household income, which are the strongest positive predictors of internet use among any of the demographic differences we. With age the probability of mobile internetsocial network use decreases, younger are more inclined to. Male gender, login status, emotional ties, and psychological distress were found to be important predictors of internet addiction among students.