Computer Ownership Research Articles

Modeling ICT adoption and electricity consumption in emerging digital economies: Insights from the West African Region

This study investigates the impact of Information and Communication Technologies (ICT) on electricity consumption in West Africa, employing a dynamic panel data model. The results show a significant long-term positive effect of ICT adoption on electricity consumption. Notably, internet connections increase the demand for electricity, with estimates ranging from 13.4 % to 19.3 %. While mobile phone subscriptions demonstrate modest positive effect of 6.85 %, personal computer ownership appears to have a negligible impact.The study contributes to the existing literature by offering a detailed examination of the distinct effects of different ICT components on electricity consumption, incorporating a novel estimation approach and sensitivity analyses that account for the COVID-19 pandemic and the Anglo-French linguistic divide. What's more, the analysis constitutes an initial effort in the examining both short-term and long-term dynamics of the ICT-electricity relationship in West African region.

Association Between Information and Communication Technologies (ICTs) and Women’s Attitudes Toward Intimate Partner Violence: Evidence from Bangladesh Demographic and Health Survey 2017–2018

Many women justify intimate partner violence (IPV), resulting in adverse health outcomes. This study investigates the relationship between household ownership of information and communication technologies (ICTs), along with the frequency of listening to the radio and watching television with women’s attitudes towards IPV in Bangladesh. The cross-sectional study analyzed a weighted sample of 20,032 women and used a multivariable logistic regression analysis to determine the association between predictor variables and outcome variables. The results showed that 19.47% of women justified wife beating for at least one reason. We found that household ownership of computers (AOR = 0.73 [95% CI = 0.57, 0.95]), women in households with three ICTs (AOR = 0.67 [95% CI = 0.47, 0.96]), and women who watched television at least once a week (AOR = 0.85 [95% CI = 0.74, 0.97]) were associated with decreased odds of justifying wife beating for at least one reason after adjustment for the frequency of reading newspaper or magazine, age, wealth, education, religion, and type of place of residence. The study suggests that not all ICTs affect women’s attitudes toward IPV equally. Computers and television were more influential than other ICTs. This finding suggests that awareness-building and educational programs targeted towards women via computer and television may deliver better outcomes about gender norms.

Technology and Continuous Glucose Monitoring Access, Literacy, and Use Among Patients at the Diabetes Center of an Inner-City Safety-Net Hospital: Mixed Methods Study.

Despite the existence of an increasing array of digital technologies and tools for diabetes management, there are disparities in access to and uptake and use of continuous glucose monitoring (CGM) devices, particularly for those most at risk of poor diabetes outcomes. This study aims to assess communication technology and CGM access, literacy, and use among patients receiving treatment for diabetes at an inner-city safety-net hospital. A survey on digital technology ownership and use was self-administered by 75 adults with type 1 and type 2 diabetes at the diabetes clinic of Grady Memorial Hospital in Atlanta, Georgia. In-depth interviews were conducted with 16% (12/75) of these patient participants and 6 health care providers (HCPs) to obtain additional insights into the use of communication technology and CGM to support diabetes self-management. Most participants were African American (66/75, 88%), over half (39/75, 52%) were unemployed or working part time, and 29% (22/75) had no health insurance coverage, while 61% (46/75) had federal coverage. Smartphone ownership and use were near universal; texting and email use were common (63/75, 84% in both cases). Ownership and use of tablets and computers and use and daily use of various forms of media were more prevalent among younger participants and those with type 1 diabetes, who also rated them as easier to use. Technology use specifically for diabetes and health management was low. Participants were supportive of a potential smartphone app for diabetes management, with a high interest in such an app helping them track blood sugar levels and communicate with their care teams. Younger participants showed higher levels of interest, perceived value, and self-efficacy for using an app with these capabilities. History of CGM use was reported by 56% (42/75) of the participants, although half (20/42, 48%) had discontinued use, above all due to the cost of the device and issues with its adhesive. Nonuse was primarily due to not being offered CGM by their HCP. Reasons given for continued use included convenience, improved blood glucose control, and better tracking of blood glucose. The in-depth interviews (n=18) revealed high levels of satisfaction with CGM by users and supported the survey findings regarding reasons for continued use. They also highlighted the value of CGM data to enhance communication between patients and HCPs. Smartphone ownership was near universal among patients receiving care at an inner-city hospital. Alongside the need to address barriers to CGM access and continued use, there is an opportunity to leverage increased access to communication technology in combination with CGM to improve diabetes outcomes among underresourced populations.

Psychosocial profiles influencing healthy dietary behaviors among adolescents in Shandong Province, China: a cross-sectional study.

We aimed to assess the influence of psychosocial profiles on dietary behaviors among school-aged adolescents in China. A cross-sectional study was conducted involving 7,862 adolescents from 100 schools in Shandong, China. Psychosocial profiles and dietary behaviors were assessed using the Junior High School Students' Psychosocial Profiles Questionnaire (JPPQ) and the Chinese Diet Quality Questionnaire (DQQ), respectively. Linear regression models were used to investigate the association between adolescents' psychosocial profiles and dietary behaviors. The mean age of the participants was 13.18 1.15 years; 48.5% of them were boys. The majority of participants (97.90%) were Han Chinese, and approximately half of the participants (50.90%) resided in rural areas. After adjusting for sociodemographic characteristics and family computer and Internet ownership and usage, healthy dietary behavior was positively correlated with higher psychosocial profile scores (p < 0.05). The stratified analysis results revealed that the group with the highest psychosocial profile score was associated with an increased overall global dietary reference (GDR) score in "households without a family computer and Internet" ( : 5.357, 95% Cl: 4.931-5.784, p < 0.05). Good psychosocial profiles exhibit a positive influence on healthy dietary behaviors. Therefore, policymakers should focus on Internet usage to maximize the positive effects on global youth health behaviors.

Digital Competencies in Higher Education Students: Analysis of Attitude, Knowledge, and Use of ICT

In the contemporary era, the convergence between education and digital technology demands an ongoing revision of pedagogical strategies, focusing on placing the student as the protagonist of the learning process. This study aimed to analyse the digital competencies of students from the Higher Technological Institute of Spain (ISTE) in Ecuador, considering their attitude, knowledge, and use of information and communication technologies (ICT), as well as how sociodemographic variables affect this context. Using a non-experimental, descriptive, cross-sectional research design with a correlational approach to variables, the ACUTIC questionnaire was applied to a sample of 156 ISTE students. The data was analysed with R Commander 4.3.1, first performing a descriptive analysis exploring trends in variables such as age and gender. Furthermore, the use of parametric and non-parametric tests depends on the data distribution. The results confirmed that there are no gender differences in attitude, knowledge, or use of these technologies (p-value &gt; 0.05). While age does not correlate with ICT use (p = 0.1661) or attitude (p = 0.1173), it does relate to knowledge of them (p = 0.0182) and to the possession of computers and smartphones (p &lt; 0.001 and p = 0.0059, respectively). There is a robust correlation between ICT knowledge and use (p-value &lt; 2.2e-16). Geographical location corresponds with stable internet access (p = 0.0000) and computer ownership (p = 0.0028). In conclusion, the digital competencies of ISTE students in Ecuador are influenced by multiple sociodemographic factors and represent a crucial aspect of adapting to the changes and demands of education.

Understanding the Perspectives of Hail City Population on the Confidentiality and Privacy of Digital Health and Medical Information.

Background In the era of rapid digital advancement, the confidentiality and privacy of digital health and medical data have become paramount concerns. This study investigates the perspectives of individuals residing in Hail City regarding these critical issues, with a particular emphasis on the influence of demographic factors such as age, gender, and computer proficiency on individuals' discomfort with health professionals using computers and their trust in researchers.Gaining a deeper understanding of these factors is vital for the development of targeted interventions aimed at enhancing patient comfort and trust in digital health/medical technologies. Methodology This study employed a descriptive cross-sectional design, involving a survey of 775 individuals aged 18 and above in Hail City. The questionnaire was designed to gather information on participants' demographic characteristics, computer proficiency, experiences with digital health and medical information, and perceptions of health information safety and privacy. To examine the associations and predictive relationships between variables, chi-square tests, correlation analyses, and logistic regression were performed. Results Significant associations were found between gender and discomfort with health professionals using computers (chi-square = 60.29, p < 0.0001), and between age and trust in researchers regarding the privacy of medical information (chi-square = 50.14, p < 0.0001). Positive correlations were observed between computer proficiency and perception of health information safety (r = 0.12, p = 0.0002), while a negative correlation was found between computer ownership and avoidance of medical tests due to privacy concerns (r = -0.08, p = 0.03). Logistic regression analysis identified age, gender, and computer proficiency as significant predictors of discomfort with health professionals using computers. The findings highlight the crucial role that demographic factors play in shaping attitudes toward the privacy and security of digital health and medical information. Conclusions The findings of this study highlight the crucial role that demographic factors play in shaping attitudes toward the privacy and security of digital health and medical information. Gender and age were found to significantly influence individuals' levels of discomfort and trust, while computer proficiency was shown to enhance perceptions of safety. Based on these findings, the researchers recommend implementing targeted interventions, such as gender-sensitive training programs and initiatives, to enhance digital literacy and improve patient comfort and trust in digital health technologies.

Understanding uptake in demand-side broadband subsidy programs: The affordable connectivity program case

The Affordable Connectivity Program (ACP) represents a historic investment by the federal government to address the digital divide. Its goals are both to increase the rate of broadband adoption and make it easier for low-income households to sustain service. But what have been the drivers of ACP enrollment? We know a great deal about trends in adoption and the geography of enrollment among eligible households. But those metrics – especially a focus on enrollment rates among eligible households – are only so useful in explaining ACP sign-ups.This invites analysis that investigates the drivers of ACP enrollment in a comprehensive way, which this paper proposes to do. The paper hypothesizes that ACP enrollment decisions are not solely individual (i.e., that a household's enrollment decision is structured only by income level), but also influenced by community-wide considerations, such as housing costs, share of occupied houses, presence of anchor institutions such as public libraries, and population density (i.e., whether a place is urban or rural). The paper develops a regression model that predicts ACP enrollment rates among eligible households at the 5-digit zip code geography as a function of the variables discussed above, as well as others such as the racial and ethnic make-up of a zip code area. The analysis also controls for existing levels of broadband subscriptions and computer ownership in a given area. The difference between predicted and actual ACP enrollment rates at the 5-digit zip code level is proposed as a metric of ACP performance. These findings are supplemented with a geographically weighted regression (GWR) model that allows the relationship between each explanatory variable and ACP enrollment to vary by locality. This allows for analyzing and visualizing how these relationships vary across space.The empirical findings show that high levels of economic distress are a strong determinant of ACP enrollment in a given area, but social and community-wide indicators are important as well. The GWR results demonstrate that important differences in these relationships exist across geographies. Understanding spatial variations in ACP performance can help policymakers and other stakeholders better target resources to address the digital divide.

Digital Divide and Digital Competence among Accounting Students

The problem of this research is the existence of a digital divide among accounting students in Indonesia despite the rapid growth of the digital economy in Southeast Asia. This research explores the relationship between the digital divide, seen through social factors, and the digital competence of accounting students. This research uses a quantitative approach, with the subjects being accounting students. Data was collected through a survey with a questionnaire distributed to 398 accounting students at various universities in Indonesia. Data analysis was carried out using descriptive tests and non-parametric tests. The research results show that social factors significantly influence students' digital access and competence. Younger students tend to have higher levels of digital competency. Family factors such as parental education, employment, and income significantly influence students' digital abilities. In addition, computer ownership by students and effective technology integration by lecturers also impact students' digital competence. In conclusion, the digital divide still exists among accounting students in Indonesia, which affects their digital competence. The implications of this research include the need for curriculum expansion and social interventions to overcome the digital divide among accounting students, ensuring their readiness to face the digital era.

Determining Spatial Distribution of the BSP Supervised Banks in the Philippines: A Multivariate Cluster Analysis

The goal of this study was to determine the significant variables that contribute to the number of Bangko Sentral ng Pilipinas (BSP) Supervised banks in the Philippine regions. A model that can predict the number of banks needed in the region was also presented. Spatial distribution of the banks was also analyzed. These analyses determined if the current number of banks in the region is sufficient to provide the financial services needed by the people. The ArcGIS Pro was used to perform Ordinary Least Square Regression, Global Moran’s I and Multivariate Clustering Analyses to the Regional Distribution of BSP Supervised banks in the Philippines and the categorized economic, demographic, labor market and potential market variables from the Philippine Statistics Authority (PSA) in 2020. Results of this study show that the population density, economically active population, functional literacy rate, and families’ ownership of personal computer are the significant factors, which represent every category of the independent variable, that contributed to the number of banks in the region. Using the chosen passing model, the difference between the actual and estimated number of banks was used as the indicator by which regions need more physical banks to promote financial inclusion. Regions X, CAR, and BARMM are the best locations for the future physical bank to be established. Furthermore, the results from Global Moran’s I analysis showed that there is a clustering of high number of banks in the Philippines. There were 7 clusters formed for the number of banks based on population density, economically active population, functional literacy rate, and families’ ownership of personal computer. Among these explanatory variables, population density is the greatest contributor in forming the clusters.

Investigation of e-learning readiness levels of primary school students studying in rural

This study was conducted to determine the e-learning readiness of fourth grade primary school students in villages and towns. The research was designed in descriptive survey model from quantitative research methods. The study group of the research consisted of 165 students, 85 of whom were male and 80 of whom were female. Of these students, 149 live in the village and 16 in the town. The "E-Learning Readiness Scale", which was adapted into Turkish by Bircan et al. (2022), was used as a data collection tool in the study. The research data were analyzed using descriptive statistics, independent groups t-test and one-way ANOVA. As a result of the research, it was found that the e-learning readiness of fourth grade primary school students studying in rural areas differed significantly in favor of girls in terms of gender variable; it differed significantly in favor of computer ownership and internet connection in terms of having a computer and internet connection at home; it did not differ significantly in terms of having a tablet.

Examining Digital Divide in Secondary and Primary Education Online Content Users Based in Tanzania

This paper determined the digital divide among secondary and primary education online platforms in Tanzania. The study addressed three key aspects: first, it determined the contribution of facilitating conditions in the digital divide among secondary and primary school learners. Secondly, it determined how the quality of existing secondary and primary education digital platforms defines the current status of the digital divide. Lastly, the study provides steps to be taken by stakeholders of education in addressing the digital divide in the context of secondary and primary education. The study used the qualitative approach. First, it used government reports and other organisational publications to obtain statistical information on facilitating conditions for educational digital services. Secondly, it studied 302 online reviews by users of seven (7) digital platforms for secondary and primary education contents in Tanzania. In the first set of results facilitating conditions such as ownership of smartphones, computers, Televisions, and access to the Internet still contribute to the digital divide among users of secondary and primary education platforms. In the second set of reviews, the study observed the following nature of reviews submitted by users to studied online platforms. The first category had a positive view of digital platforms. This is a positive view submitted to the platform on its usefulness. In all platforms, users were of the view that the platforms were useful. Another category was that of poor technical quality. This view reflects the perception of viewers that the quality of the accessed platform was poor. In this category, users were more uncomfortable with the inability of the platform to launch appropriately. The third category was about the quality of the contents. In all platforms, users suggested that the contents were inadequate. With the guidance of policies, all stakeholders need to engage together in addressing observed issues of the digital divide.

Agro Digitalization Capability Of The Umkm Sector In Bitung City In The Era Of Digital Agro Economy

The digitalization capability of the UMKM sector in Bitung City in the era economy of digital is carried out to conduct an assessment of the UMKM sector in terms of digitalization capability elements for its business as well as review and analyze the digitalization capability of the UMKM sector in the era economy of digital. This research uses a survey method by distributing a list of questions to micro, small, and medium enterprises (MSMEs) actors in Bitung City to obtain primary data while secondary data is taken from related agencies. Sampling was carried out using stratified random sampling with comparable allocation. The elements of digitalization capability that determine digitalization capability are (1) the ability to understand digital, (2) the importance of digital strategy, (3) handphone ownership, (4) computer ownership, (5) website ownership, (6) social media ownership, (7) an e-commerce system ownership, (8) aspects of internet use, (9) frequency of internet use, and (10) importance of internet use. Measuring elements of digitalization capability using a Likert scale. The data analysis used was an inductive analysis of the one-sample t-test using the SPSS program. The research results show that: (a) Eight elements of digitalization capability in micro business including elements (1), (2), (3), (4), (5), (6), (8), and (10) that can be applied significantly. Meanwhile, the 2 (two) elements of digitalization capability implemented by micro businesses are not significant, including elements (7) and (9). (b) Seven elements of digitalization capability in small business, including elements (3), (4), (5), (6), (8), (9), and (10) that can be applied significantly. Meanwhile, the 3 (three) elements of digitalization capability implemented by small businesses are not significant, including elements (1), (2), and (7). (c) Ten elements of digitalization capability in medium business, include elements (1), (2), (3), (4), (5), (6), (7), (8), (9), and (10) that can be applied significantly. The conclusions of this research are (a) The significant application of the ten elements of digital capability by UMKM actors in Bitung City can increase capabilities to the maximum, can provide profits maximum in existing businesses, and can increase competitiveness in business. (b) The insignificant application of the ten elements of digital capability by UMKM actors in Bitung City cannot increase digitalization capabilities to the maximum, cannot provide profits maximum in existing business, and cannot increase competitiveness in business. The inability of Micro and Small Businesses is due to low ability to understand digital, limited human resources competent in the digital field and limited capital. Suggestions to UMKM in Bitung City are to implement the ten elements of digital capability, while the government needs to carry out socialization and training about digital and provide capital assistance to business actors specifically for Micro and Small Businesses. Keyword: Digitalization Capabilities, Agroeconomy, the UMKM sector, Bitung City.

Examining the e-learning attitudes of Indonesian students during the COVID-19 pandemic

The COVID-19 epidemic has impacted higher education institutions across the country by switching traditional teaching practices to online learning. The attitudes of students towards e-learning are essential to research in order to determine the extent to which successful implementation of online learning. Thus, this research aims to evaluate the attitudes of Indonesian students towards e-learning throughout the pandemic. The study adopted a quantitative research approach through a survey questionnaire. The attitude of students was evaluated using the attitude scale towards e-learning. The questionnaire comprised 20 items assessing students’ attitudes towards remote learning. A questionnaire was distributed to 342 (255 female and 87 male) undergraduate students who took online courses at an Indonesian state university. The statistical analyses including descriptive statistics, t-tests and one-way ANOVA were used in the present study. The results suggested that students’ e-learning attitudes tend to be neutral. The t-test and ANOVA indicated that there was no statistically significant gap in students’ attitudes with respect to gender, daily internet usage time or level of COVID-19. Meanwhile, age, study year and personal computer ownership exerted a statistically significant impact on e-learning attitudes. Teachers can better prepare for the adoption of online learning during COVID-19 and beyond by using the valuable insights provided by the findings.

Do Technology Resources Influence Income Mobility? The Role of Regional and Caste Spillovers from Computer Ownership

Do Technology Resources Influence Income Mobility? The Role of Regional and Caste Spillovers from Computer Ownership

Time-of-Day and Day-of-Week Effects on TV and OTT Media Choices: Evidence from South Korea

The objective of this manuscript is to investigate the determinants influencing the selection of over-the-top (OTT) platforms as opposed to traditional television mediums—cable, Internet protocol television (IPTV), and satellite broadcasting—for the consumption of content such as television shows and films. Employing data extracted from the 2020 Media Panel comprising 423,851 observations garnered from personal media diaries, this study scrutinizes the impacts of individual attributes, environmental conditions, and temporal factors on platform choice. The findings reveal a temporal influence characterized by a “Friday effect” and a heightened preference for OTT platforms during early afternoon (12:00–16:00) and late-night hours (00:00–04:00). Notably, the likelihood of selecting OTT platforms is significantly augmented during the late-night period in comparison to other time frames. In relation to individual characteristics, variables such as male gender, younger age, higher educational attainment, and elevated income levels were positively correlated with a predilection for OTT platforms. Additionally, environmental variables such as possession of an unlimited data plan and ownership of a tablet personal computer also emerged as significant predictors for OTT preference. Furthermore, the presence of a beam projector during late-night hours and residing in a household with multiple occupants during afternoon hours also served as contributing factors for OTT utilization. In conclusion, the study offers critical insights for stakeholders in both traditional television and burgeoning OTT markets, providing data-driven recommendations for the strategic allocation of resources in consideration of day-of-week and time-of-day variables.

Examination of student satisfaction with e-courses by clustering analysis

Student satisfaction is one of the foremost factors for e-courses to continue efficiently and achieve their goals. The present research aims to analyze the clustering tendencies of e-course students’ satisfaction with e-courses according to the variables of “gender, class, computer ownership, computer and internet literacy, duration of internet use, the connection type to the internet, and the tools utilized by the students in the learning management system” through clustering algorithms, one of the data mining techniques. The survey model was employed. A 35-item satisfaction scale devised for students taking e-courses was used for data collection. A total of 522 students taking online courses at a university participated in the study. Descriptive statistics and cluster analysis were employed to analyze and interpret the data. As a result of the analyses through K-Means cluster analysis, four different clusters were obtained. Those clusters were defined in accordance with the variables they included as follows: Cluster 1 (the group with the highest rate of computer ownership and the highest computer literacy); Cluster 2 (the group with the lowest rate of computer ownership and the lowest computer literacy); Cluster 3 (students have low computer literacy and low duration of Internet use), and Cluster 4 (the group with the highest rate of females, first graders, and those who use the Internet at “good” and “very good” levels) . According to the research results, the mean student satisfaction levels regarding e-courses were determined to be low in general. As per the clustering analysis, it was observed that the students in Cluster 1 and Cluster 4 had the highest mean values of satisfaction with e-courses and a “good” level of satisfaction compared to the other groups, while Cluster 2 had the lowest mean value. Cluster 3, on the other hand, was the one with a “medium” level of satisfaction.

Research shows Americans with disabilities are less likely to own digital devices

Research from the Pew Research Center suggests that there is still a digital divide between individuals who have a disability and individuals who do not have a disability. Pew found that 81% of adults without a disability report owning a desktop or laptop computer. However, only 62% of adults with disabilities report computer ownership. Additionally, there was a 16% gap in smartphone ownership (72% of individuals with disabilities versus 88% of individuals without disabilities).

An Examination of the Attitudes of Teacher Candidates towards Mobile Learning

This study aims to ascertain how potential Turkish language and literature and Turkish teacher candidates tend to mobile learning. In this context, it investigates whether there are any notable differences in these aspiring teachers' attitudes toward mobile learning based on elements like gender, age, major field of study, grade level, personal tablet ownership, computer ownership, income level, social media usage, and enrollment in computer courses. A relational survey model, a quantitative research method, is used in this study. 209 females and 65 males who willingly joined the study at a university in Turkey's east comprise its participant pool. The findings reveal that prospective teachers of Turkish language and literature, as well as Turkish language teaching, strongly endorse the statements in the Mobile Learning Attitude Scale. Furthermore, their attitudes towards mobile learning do not exhibit significant variations concerning variables such as gender, major field of study, grade level, personal tablet ownership, possession of a computer, income level, social media usage, and participation in a computer course. Nevertheless, a noteworthy difference is identified in attitudes towards mobile learning across different age groups. The outcomes imply that while substantial distinctions exist among age groups, the attitudes of prospective teachers in the aforementioned fields do not significantly differ in terms of demographic or technological aspects. These results underscore the importance of integrating mobile learning into teaching and learning. Encouraging positive attitudes towards mobile learning and conducting additional research on this subject are strongly recommended.

Investigation into Pre-service Teachers' Perceptions of Distance Education in the Context of Their Future Profession

The objective of this research is to assess whether the distance education experiences of pre-service teachers currently undergoing higher education differ according to specific variables. These variables relate to the distance education processes instituted following the COVID-19 pandemic and the earthquakes that took place in Maraş and Elbistan on February 6, 2023. The study also endeavors to discern the impact of distance education on pre-service teachers' attitudes toward the teaching profession. Employing a mixed methodology, the research engaged a sample of 300 students from varying departments at Kırşehir Ahi Evran University during the 2022–2023 academic year, all of whom were participating in pedagogical formation courses via distance education. The quantitative data for the research was compiled using the "Pre-service Teachers' Perception of Distance Education Scale" developed by Gündüz (2013). Additionally, qualitative data was gathered from 50 volunteer pre-service teacher students engaged in pedagogical formation education using a semi-structured interview form designed by the researcher. An analysis of pre-service teachers' attitudes toward distance education and their chosen profession was conducted based on data derived from the scale. Quantitative data was processed with SPSS 25, while qualitative data was analyzed via the MAXQDA 2020 program. Quantitative analysis revealed that pre-service teachers' perceptions of distance education did not significantly differ in relation to gender, personal computer ownership, or field of study. However, differences were observed in relation to their internet connection status. Qualitative analysis generated sub-themes under the Distance Education theme, such as the Student in Distance Education and the Features of Distance Education.

Examining the Factors Related to the Technological Pedagogical and Content Knowledge Levels of Preservice Social Studies Teachers

Technological pedagogical and content knowledge (TPACK) is a pedagogical tool that can provide teachers and preservice teachers opportunities to receive enhanced lesson input, engage in classroom interactions, and improve learning outcomes. This study aims at examining the factors related to the TPACK skills of preservice social studies teachers. Participants consisted of 368 preservice teachers studying at the social studies teacher education department of a university located in the Central Black Sea Region of Turkey. Participants completed the TPACK scale and personal information form. The data were analyzed using descriptive statistics, one-way multivariate analysis of variance, and one-way analysis of variance. The results of the study reveal that gender is associated with the preservice teachers’ technological knowledge, content knowledge, and pedagogical knowledge; education year is associated with technological knowledge and technological pedagogical knowledge; high school type is correlated with technological knowledge, technological pedagogical knowledge, technological content knowledge, and technological pedagogical and content knowledge; home computer ownership is associated with technological knowledge; and average weekly time spent using a computer is associated with technological knowledge and technological pedagogical and content knowledge. Finally, technical computer skills are correlated with technological knowledge, content knowledge, pedagogical knowledge, pedagogical content knowledge, technological pedagogical knowledge, and technological pedagogical and content knowledge. The current study may contribute to determining culturally specific and cross-cultural correlates of TPACK skills among preservice teachers.