Internet Usage Patterns Research Articles

Peran Internet di Saat Pandemi Covid-19 Terhadap Kinerja Guru SDN Wonosalam Demak

The study, entitled the use of the internet during the Covid-19 pandemic on the performance of elementary school teachers in Wonosalam sub-district, Demak district, aims to analyze the effect of internet use on the performance of primary school teachers in Wonosalam sub-district, Demak district. Using ex post facto research methods, with the sampling technique using cluster random sampling with two stage cluster sampling. The data analysis method used is descriptive statistical analysis, and by using a questionnaire to obtain data. The results showed that; 1) In general, it can be described that most of the respondents are familiar and familiar with using information technology facilities; 2) These variations in internet behavior are related to perceptions and understanding of the benefits of the internet which may vary between individuals; 3) Internet use has an influence on performance. The implication of this research can be concluded that to increase the role of the internet in teacher performance during the Covid-19 pandemic is to maximize quality network accessibility, improve IT infrastructure, use friendly and easy to apply (applicable) applications, socialize the use of applications in implementation. Teacher work. For further research, the sample can be reproduced to see patterns of Internet usage by a wider teacher. Future research can also be directed to look at usage patterns based on the life stages of the internet.

Regional Patterns Of Third-Level Digital Inequality In Russia: An Analysis Of Google Trends Data

Digital inequality extends beyond mere access to technology. This study explores the concept of third-level digital inequality, which describes the situation where individuals or communities have access to technology and the Internet, have required skills, but still struggle to use it effectively. However, there is currently a lack of data and methods for assessing thirdlevel digital inequality. To address this gap, this study aimed to evaluate it on a regional scale by analyzing the popularity of Google search queries. In proposed method, the data are categorized into three groups: everyday services, education, science, and technology, and entertainment. On this basis authors calculated the index of Internet usage efficiency. The study’s findings revealed the territorial patterns of digital inequality in the constituent entities of the Russian Federation. Regions in North Caucasus and Siberia showed low Internet usage efficiency, while regions in the Urals and Central Russia had high Internet usage efficiency. The study’s methodology is quick, cost-effective, and easy to implement, but it also has limitations. The method only considers the popularity of certain search queries and does not consider the frequency or duration of internet usage, or the specific websites or services accessed, and does not consider individual-level factors that may influence internet usage patterns. The authors emphasize the importance of addressing not only differences in Internet access but also the lack of technology skills, digital literacy, and motivation among certain groups. They conclude that public policies aimed at enhancing internet skills can reduce digital inequality and improve the quality of life of the population.

An Efficient Pending Interest Table Content Search In NDN through Stable Bloom Filter

AbstractNamed Data Networking (NDN) has gained importance in today’s era due to a paradigm shift in the Internet usage pattern which revolves around the content rather than the respective host addresses. Three important data structures in NDN are Content Store (CS), Pending Interest Table (PIT) and Forwarding Information Base (FIB). The search time of PIT is quite high since its size grows with the addition of new content names, and the Interest packets which are not served by CS are searched in millions of existing entries in the PIT. Hence, lookup time can be improved if, instead of checking all the available entries, initial scanning is done to determine whether the required content name exists in the PIT or not. In this paper, we propose a Stable Bloom Filter (SBF) based PIT called S-PIT, to minimize the PIT search time by identifying the existence of query content through SBF. The various experiments performed show that S-PIT outperforms existing data structures in terms of memory consumption, content insertion time, average search time and false positive rate.

Study on Internet Usage and Cyber Security Awareness Among Degree College Students in Mumbai Region

In the present scenario, modern technology has entered every nook and corner of our lives at rocket speed. People have now become used to smart phones, smart watches, surveillance cameras, smart home appliances etc. The Internet has led to a paradigm shift in our lives of people and students. The increase in internet usage has increased the risk of cybersecurity attacks this makes it necessary to provide awareness and education on cybersecurity to students who are potential targets for exploitation. The study deciphers the purpose of internet usage, the internet usage pattern and problems related to security faced while using internet. The study comprehends the degree college student’s familiarity to cyber security awareness and countermeasures. A questionnaire consisting of various questions on internet usage and cybersecurity concepts was prepared. The key contribution of this paper is to create awareness and to set forth suggestion to overcome the issues to minimize the cybercrime in future.

Internet addiction and loneliness among school-going adolescents in Bangladesh in the context of the COVID-19 pandemic: Findings from a cross-sectional study

Internet addiction (IA) by children and adolescents is a concern for parents. The intensity of this problem has increased in the context of COVID-19 pandemic across the world. Here we aimed to evaluate internet usage patterns, addiction to internet use, and mental health among Bangladeshi school-going adolescents during the COVID-19 pandemic. We conducted this cross-sectional study among 502 school-going adolescents. Pre-structured questionnaire was used to collect information related to demographics and the internet usage pattern. We assessed the prevalence of IA and loneliness using the internet addiction test (IAT) scale and UCLA-3 loneliness scale. The prevalence of IA and loneliness among Bangladeshi school-going adolescents were 88.25% and 72.51%, respectively. Individuals with English-medium education, higher classes, high economic status, mobile internet connection, online gaming habits, and living without family showed significantly higher levels of IA. Moreover, a high proportion of loneliness was observed among individuals with high financial conditions, mobile internet connection, and who watch movies on the internet. The present study findings suggest a strong association between demographics, internet usage patterns, IA, and the mental health of adolescents. These results would have practical inferences in clinical psychology, psychotherapy, and related fields. Based on this finding, the healthcare authorities and professionals can develop an inclusive interventional approach for adolescents who suffer from IA and mental health disorders.

Problematic Internet Use among Polish Students: Prevalence, Relationship to Sociodemographic Data and Internet Usage Patterns.

Problematic Internet Use (PIU) is a broad term that covers problems with Internet use that result in psychological, social, academic or professional difficulties. The aim of our study was to identify individuals particularly vulnerable to developing PIU among Polish students, taking into account sociodemographic characteristics and Internet use patterns. A total of 1008 students of Polish universities took part in the survey. The research tool was The Problematic Internet Use Test-the Polish version of the Internet Addiction Test. Among the respondents, 10.2% showed signs of PIU-high or very high risk of addiction. Significantly higher levels of PIU were found in males than females, science students than medical and humanities students, and Internet users using a computer, as opposed to students using only a phone/tablet. A decrease in PIU was observed as students improved their assessment of their material situation. The severity of PIU increased significantly as the importance of Internet use for entertainment increased. Our research indicates that it is worth implementing measures to prevent the development of PIU in Poland, e.g., screening educational campaigns, especially for science students. It is also necessary to offer students at lower levels of education, especially the less affluent, forms of leisure time other than computer activity with the use of the Internet.

Gender Identification of Mobile Phone Users based on Internet Usage Pattern

Gender is an important aspect of a person's identity. In many applications, gender identification is useful for personalizing services and recommendations. On the other hand, many people today spend a lot of time on their mobile phones. Studies have shown that the way users interact with mobile phones is influenced by their gender. But the existing methods for identify the gender of mobile phone users are either not accurate enough or require sensors and specific user activities. In this paper, for the first time, the internet usage patterns are used to identify the gender of mobile phone users. To this end, the interaction data, and specially the internet usage patterns of a random sample of people are automatically recorded by an application installed on their mobile phones. Then, the gender identification is modeled using different machine learning classification methods. The evaluations showed that the internet features play an important role in recognizing the users gender. The linear support vector machine was the superior classifier with the accuracy of 85% and F-measure of 85%.

ФУНКЦІОНУВАННЯ ДЕЦЕНТРАЛІЗОВАНИХ РИНКІВ НА ОСНОВІ ПЛАТФОРМИ WEB 3.0

The deepening of digital transformations and the development of digital platforms is the basis of the functioning of decentralized financial markets, the research of the methodological and methodical foundations of their formation and development based on the use of the innovative potential of Web 3.0 technologies has important scientific and practical value. The purpose of the article is to clarify the functioning mechanisms of decentralized markets based on Web 3.0 and to determine their impact on economic and social processes, which is based on the use of general economic and specific scientific research methods. In the process of research, the peculiarities of the functioning of decentralized financial markets are determined and it was proved that the transition to new Internet usage patterns is the main factor in accelerating digital transformations, on the basis of which the Web 3.0 digital platform is being formed. A structural and logical diagram of the functioning of the Web 3.0 platform has been developed, which reflects an organic combination of tasks, functions, used tools and technologies. The main functions of the Web 3.0 digital platform include decentralization of management, customer orientation, interoperability, transparency and ensuring effective management of digital risks, and the main tasks include accelerating the development of the economy and improving the management of economic and social systems. It has been proven that in the future, the development of the Web 3.0 digital platform and the integration of the innovative potential of decentralized markets, distributed ledger technologies, smart contracts and digital assets will become the basis for the formation of a fundamentally new model of the functioning of the digital space - a meta-universe that unites the real and virtual worlds, ensuring the acceleration economic growth and positive socio-cultural changes. The practical value of the obtained results lies in the justification of the prospects for using the Web 3.0 platform and the adaptation of its interoperability, as well as in determining the directions for improving the functioning mechanisms of the Web 3.0 platform, which includes institutional support for the development of decentralized financial markets and of new mechanisms of their regulation and management in order to protect all participants of decentralized ecosystems from cyber threats and digital risks.

Agricultural Extension Performance Through the Use of Internet Media

The presence of information technology is a challenge for field agricultural extension to master computer skills and utilize the internet. The purpose of this study was to determine the performance of field agricultural extension and the effect of internal and external characteristics of extension on the utilization of internet media in Deli Serdang Regency. The population and research sample were 139 people using the census method. This study uses descriptive analysis, Pearson product moment correlation, multiple regression analysis, and effective contribution testing. The results showed that the measurement of the performance of agricultural extension with the highest value of 44.6 % was in the good category. The results of simultaneous correlation and regression tests through the F test show that there is a significant relationship and influence between each variable. Partially in multiple regression tests, the variables of age, education level, internet media ownership, perception of the internet, and internet usage patterns have a significant effect, while the variable of agency support has no significant effect on internet media utilization for extension. Based on the calculation of effective contribution, the variable internet usage pattern shows the largest effective contribution of 19.87 % with a relative contribution of 39.15 %.

Development and validation of an instrument for the assessment of internet use in the Indian context.

Internet usage is increasing in the young population. Over 560 million internet users, India is the second-largest online market globally, which necessitates the development of an Internet use assessment tool in the Indian context. Samples of 560 individuals aged from 16 to 40 years participated. Data were coded in excel sheet for STATA 14.0 analysis evolved to item response theory. Cronbach's alpha was used to determine the internal consistency; concurrent validity was performed using the "Internet Addiction Test." Descriptive statistics, analysis of variance, confirmatory factor analysis, and Pearson's correlation were also determined. The developed instrument has the Cronbach's alpha reliability value (25 items) of 0.893, which indicates high internal consistency and has a concurrent value of 0.800. Factor analysis of 23 items revealed that the variance of 64.481 revealed all the items loaded in the rotated component matrix. The final 18 items got the item discrimination index was >1.0 with three-factor structure. The developed reliable and valid instrument can be used for identifying the patterns of internet usage across various settings (research, educational, mental health/clinical, and workplace).

Pediatric allergy and immunology for patients and parents: challenges of developing website and social network during COVID-19 pandemic in Brazil.

To describe the development of a website and the creation of a social network account about pediatric allergy/immunology with reliable information, to promote education and have a channel for patient-doctor contact. This is a descriptive study. A survey was conducted with 93 patients (12 years and older) and caregivers of a Pediatric Allergy/Immunology outpatient clinic, to assess internet usage patterns of potential users. A webpage in Portuguese and an Instagram® account were launched in which it was created an area for patient-doctor communication in the pandemic context. Among 93 participants, 77% were female, 82% caregivers. Median age was 33.2 years, family income 403 dollars/month. The internet was accessed via smartphone by 81,7% of the participants; 76% reported using internet to access health information but 72% did not trust on the information from the internet, and 96% believed that an institutional site could provide meaningful information. From the website release in November 6, 2018 to January 20, 2022, it was counted 10,062 page views by 4,896 users; 55% were 18-34 years old, 70.2% female. Instagram® account gathered 882 followers. Website went through a period of instability during which access were not counted. Due to social isolation during COVID-19 pandemic, the website served as a tool for first response to help patients and doctors. Patients and caregivers of the Pediatric Allergy/Immunology service, consulted about digital tools, considered the information supported by a teaching/research institution timely and relevant. The website and Instagram® account have both performed well and shown good return in relation to hits, and results are continuously being evaluated. During COVID-19 pandemic, the website has been connecting patients/families and doctors.

Prevalence of Internet Addiction and the Effect of Internet Usage on Lifestyle of College Students of Haryana during COVID 19 lockdown period

Introduction: Since 1990, internet usage is increasing day by day and availability of smart mobile phones and electronic gazettes like tablet, laptop etc. has given it an exponential rise. During COVID-19 lockdown period, internet usage pattern has changed a lot as per behaviour of students studying in schools, colleges, educational and coaching institutes etc. Objective: Tostudy the prevalence of internet addiction and the effect of internet usage on lifestyle of college students of Haryana. Method: Total 1035 students, of various educational streams in various colleges of Haryana state were included in the study and data was collected by pretested self-designed questionnaire and young’s internet addiction test questionnaire was used to assess its effect on life style.Results: Out of 1035 students, 436(42%) participants were below average users of internet, followed by 369(36%) average users and 230(22%) excessive users of internet. Average of total score of young internet addiction questionnaire was 27.72. Various life style factors like feeling stressed while working, neglects other activities, miss a diet, checks internet many times, obsessed with phone and internet usage per day were found significantly associated with internet addiction(p<0.05).Conclusions: Excessive internet usage during COVID-19 pandemic may lead to various abnormal behavior changes which cause negative effect on various aspects of students like emotional, hyperactivity, depression, sleeping disorder etc.

Problematic internet use and depressive symptoms among the school-going adolescents in Bangladesh during the COVID-19 pandemic: A cross-sectional study findings.

Problematic internet use (PIU) by children and adolescents is a concern for many parents. Several factors, including students' education level, the method of instruction, the dependence on the internet, and their intended use of the internet, could all be contributing factors to PIU and depression. Disturbed mental health may be attributed to the cancellation of physical education classes because of the COVID-19 outbreak. This study aimed to assess the association of COVID-19 pandemic with PIU and depressive symptoms in adolescent students. We performed this cross-sectional study among 491 school-going adolescents of 10 to 16 years. Self-administered questionnaires were applied to collect sociodemographic information and the internet usage pattern of the participants. We measured the prevalence of PIU and depressive symptoms using the PIU questionnaire (PIUQ-SF-6) and patient health questionnaire-9 (PHQ-9). The estimations of the risk group for PIU and depressive symptoms among school-going adolescents were 80.04% and 77.80%, respectively. The latent profiling of PIU scores for obsession, neglect, and control sub-groups were 5.82, 6.12, and 6.35, respectively. Moreover, we observed mild, moderate, and severe depressive symptoms in 48.68%, 27.70%, and 1.43% of cases. Age, education level, medium of education, financial impression, internet connection, the device used, the purpose for internet use, and the living status of respondents were significantly associated with the PIU. Reported mental health issues was associated with education level, medium of education, financial impression, and internet connection. The present study revealed an association of PIU and depressive symptoms with sociodemographic factors and internet usage patterns. Therefore, these results might have practical implications in clinical psychology, psychiatry, and psychotherapy. The healthcare professional can develop a context-specific comprehensive clinical intervention plan for children and adolescents.

Internet addiction and its effects on psychological wellbeing: A community-based study.

The internet has become an essential part of life, and it has both beneficial and detrimental effects. There is a plethora of evidence relating to the effect of internet addiction on psychological health. There is also an unmet need to lay the foundation for the differences in usage and the effects on mental health in regard to the use of the internet for rural and urban students. The present study was conducted on 200 adolescent subjects belonging to the urban and rural areas around the city of Varanasi to establish the pattern of use of the internet as well as its psychological implications. The participants were evaluated upon the Internet Addiction Test (IAT) and General Health Questionnaire-12 (GHQ-12), and information pertaining to socio-demographics as well as accessory information related to internet usage were captured through semi-structured proforma. The results indicated no significant differences in the pattern of internet usage (mean IAT score) as well as psychological health (mean GHQ-12) between urban and rural youth. There was a significant positive association between the overall severity of internet use with poor psychological health (GHQ-12 score). There was a significant difference in the overall mean age as well as the mean age of onset of internet use between both groups (rural versus urban). This study highlighted an important issue of the digital divide based on gender-wise differences in the pattern in the overall sample. This study highlighted the important differences in the pattern of internet use among the rural and urban populations with its clinical implication being a need to educate the youth regarding the healthy use of technology.

DIGITAL INEQUALITY AND USAGE GAP IN THE V4 REGION

The V4 countries have achieved different levels of digital transformation due to distinctions in their individual technical infrastructure and human capital characteristics. The success of digital transformation cannot be measured solely by the achieved level of digitalization; the distribution of favorable outcomes of internet use within a country should also be considered. The level of digital skills and usage patterns differ among social groups, therefore capability to translate internet access and use to tangible (offline) benefits varies. The aim of our paper is twofold. Firstly, we quantify the extent of the digital inequality in terms of usage gap in the V4 countries. We indicate the dynamics of inequality by comparing the development of such inequality between the years 2015 and 2019. Secondly, we identify socioeconomic and sociodemographic factors, which are connected to differences in internet usage patterns and therefore affect the capability of an individual to benefit from internet use. In common with other studies carried out in the Western world, we show that internet access and possession of formal digital skills are not the most important determinant of probability of being a digital beneficiary; individual characteristics, especially education and age, predict the probability of being a digital beneficiary to a higher degree of accuracy. As to the extent of digital inequality in the individual countries, we come to conclusion that although the V4 countries are relatively homogeneous concerning socioeconomic inequalities, the level of digital inequality among them differs – Hungary being somewhat unequal as co

Use of the Computer and Internet by Teachers in Medical Education: A Study at Medical Colleges of Pakistan

Background and aim: In recent decades, formal medical education has evolved considerably, especially since computers and the Internet were introduced. A major part of the medical curriculum in most industrialized nations is the study of information technology (IT). During formal classroom teaching at the undergraduate level, the present study examined the methods of teaching, the extent of using computers, and the use of Internet by teachers. Methods: A questionnaire based study was carried out on 126 medical teachers in medical colleges of Pakistan from October 2021 March 2022. Assisting professors, associate professors, and professors are the faculty members involved in the study. Study participants did not include tutors, demonstrators, or residents. Prior to study conduction, ethical approval was taken. Additionally, the questionnaire asked questions regarding the use of computers and the internet in teaching, in addition to the basic information, such as gender, age, designation and department. We pretested it with a randomly selected group of teachers and based on their feedback, we made some minor modifications and deleted some questions. Results: Of the total teachers participating, there were 90 (71.4%) male and 36 (28.6%) females. Participants were distributed based on their age as follows: 78 (61.9%) <35 years, 13 (8.1%) 36-50 years, and 35 (27.8%) >50 years. The incidence of traditional teaching, computerized projections, teaching through slides, and combination of traditional methods with slides were 19 (15.1%), 107 (84.9%), 68 (54%), and 32 (25.4%) respectively. Based on pattern of internet usage for teaching, the occurrence of collection of teaching materials without internet, collection of teaching materials using internet, access from desktop, and access from smartphones were 28 (22.2%), 88 (69.8%), 66 (52.4%), and 16 (12.7%) respectively. A significant statistical correlation exists between computer and Internet use among teachers of younger ages, with more frequent usage among teachers of younger ages. Conclusion: The present study concluded that Medical education has become increasingly computer-based and Internet-based. Furthermore, its use is more common among younger professors. However, the most noteworthy conclusion was that the majority students still choose chalkboard lecturing for better knowledge of the material. Keywords: Medical education, Computer, Internet

Internet Addiction and Social Media Addiction in Medical Faculty Students: Prevalence, Related Factors, and Association with Life Satisfaction.

Internet addiction is a growing behavioral health problem in modern societies. In this study, we aimed to determine the prevalence of internet addiction (IA) and social media addiction (SMA) and their relationship with sociodemographic factors, lifestyle habits, and internet usage patterns among medical students.This cross-sectional study was conducted among 280 medical students in a medical faculty, in Istanbul. Self-report questionnaires comprised sociodemographic status, lifestyle habits, internet and social media usage behavior, the Young Internet Addiction Test-short form (s-IAT), and the Bergen Social media addiction scale.The total prevalence of IA was 16.1% (11.8-20.4%), 17.2% (12.8-21.7%) in males and 14.8% (10.7-19.0%) in females. The total prevalence of SMA was 6.1% (3.3-8.9%), 4.8% (2.3-7.3%) in males and 7.4% (4.3-10.5%) in females. No significant difference was found between the sexes in terms of IA and SMA. IA was higher in grade 3 students than in grade 6 students. Multivariate logistic regression analyses showed that reading books at least once per month, high life satisfaction, performing physical activity at least twice per week, and using the internet for communication purposes were independent preventive factors for IA.The current study shows that IA and SMA are common in medical school students. Moreover, IA is associated with socioeconomic characteristics and lifestyle habits such as reading books, life satisfaction, and physical activity. To protect medical school students from IA and develop healthy behaviors, it is necessary to develop prevention strategies and design and implement awareness and education programs.

Internet usage on sleep quality and cognition among adults

A lot of folks use social networking sites every day. Adults now often browse social networking sites thanks to the rise in smartphone use. Their cognition and sleep cycles may be impacted by this habit. The purpose of this study was to ascertain how internet addiction affected both sleep quality and cognition.To ascertain how internet use affects the quality of sleep. To examine the relationship between adult internet addiction and cognition.Cross-sectional prospective study was the study's design. Preliminary data will be gathered after receiving ethical approval and informed consent. The Montreal Cognitive Assessment (MOCA) Questionnaire, the Pittsburgh Sleep Quality Index (PSQI), and the Internet Addiction Test (IAT) were used to collect the data. Inclusion standards: 18 to 22-year-old age range.Major mental and neurological conditions; individuals with head injuries; exclusion criteria.Utilizing statistical analysis all data was entered into an MS Excel data sheet, and after the study is over, SPSS software version 17.0 will be used to statistically analyse the data. The average, standard deviation, and percentage of the data were displayed. It has been demonstrated through our study that adults are increasingly using smartphones to visit social networking sites. Their cognitive and sleep patterns are both impacted by this behaviour. Therefore, it is crucial to spread the crucial knowledge among students in order to encourage the proper internet usage pattern and lessen students' sleep issues.: In order to prevent sleep issues, we must raise awareness among students about the need of using the internet in the right way.

Is there a Common Digital Market in the European Union? Implications for the European Digitalization Strategy

AbstractDue to the impact of the COVID‐19 pandemic, people has changed the way they work, learn and socialize. As result, it is important to identify the pre‐existing digital gaps to implement the European Union digitalization strategy. This study aims to identify typologies of internet use in the 28 European Union (EU) countries (at the time of the survey), based on the characteristics of the users and their internet usage patterns. A two‐level latent class analysis was applied. At the first level, individuals within each country were grouped according to their characteristics of internet use; and, simultaneously, at the second level, countries were grouped based on the similar structure of individual segments. Using data from Eurobarometer, results show that internet use in the EU digital market is not homogeneous. The European Commission should take these pre‐existing gaps into account in the EU digitalization strategy.

Personality Traits of Croatian University Students with Internet Addiction.

Specific personality traits may predispose individuals to various forms of addictive behaviors. This study aimed to investigate the association between personality traits of university students and Internet addiction (IA). A sample of 1051 university students was recruited from the largest university in Eastern Croatia. A structured anonymous questionnaire that included questions regarding students’ sociodemographic information and Internet usage patterns, the Young Internet Addiction Test and Big Five Inventory served as a research tool. The study revealed that 1.0% of the studied sample expressed severe IA while 24.6% of study participants expressed some signs of addiction. The IA was detected in 576 (80.0%) students who used the Internet mainly for social networking, in 30 (78.9%) students who mainly used it for online gaming, and in 153 (52.2%) students who mainly used it for university assignments (p < 0.001). Higher neuroticism, higher extraversion, and higher openness to new experiences were connected with IA in general (p < 0.001). Higher neuroticism, higher extraversion, and higher openness to new experiences were significantly associated with addictive behavior during social networking (p < 0.001). Higher extraversion and higher openness to new experiences were significantly associated with addictive behavior during Internet usage for university assignments (p = 0.025), while there were no significant associations between specific personality traits and addictive behavior during online gaming (p = 0.059). Personality traits must be taken into account while developing programs and implementing interventions for preventing IA in the university student population.