Browsing by Author "Gunuc, Selim"
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Article An Analysis of Some Variables Affecting the Internet Dependency Level of Turkish Adolescents by Using Decision Tree Methods(Edam, 2010) Kayri, Murat; Gunuc, SelimInternet dependency is going to expand into social life in wide area whereas it has been accepted as a pathological and psychological disease. Knowing the basic effects of internet dependency is an inevitable approach to use the internet technology healthy. In this study, internet dependency levels of 754 students were examined with the Internet Dependency Scale. Total score which will be obtained from the scale is the dependent variable and using daily hours of internet, how many years the users are acquainted with the internet, the purpose of using the internet, education level of users' mother and father, income of users' families and gender variables are included in the model as independent variables. Model was tested both Classification Tree and Chaid Analysis. In the Classification Tree method; purpose of using the internet, using daily hours of the internet, gender, income of users' families and education level of users' father which affected dependent variable were found meaningful. In Chaid Analysis, purpose of using the internet and using daily hours of the internet users' independent variables were just found meaningful.Article Comparing Internet Addiction in Students With High and Low Socioeconomic Status Levels(Turkish Green Crescent Soc, 2016) Kayri, Murat; Gunuc, SelimInternet addiction varies according to the geographic, cultural, and socioeconomic conditions that an individual experiences. In adolescence, uncontrolled Internet use opens the way to cases of clinical-level addiction, and the likelihood of this addiction is thought to be closely related to individuals and family's socioeconomic levels. This research investigates adolescents whose families have a high socioeconomic level (266 students) and those whose families have a low socioeconomic level (187 students). This study applies the Internet addiction scale, which was developed by Gunuc and Kayri. The study is grouped according to similarities of addiction levels using cluster analysis. Internet addiction levels in the sample with high socioeconomic levels were calculated as M = 75.507; SD = 29.307. Afterwards, addiction levels were divided into three groups in accordance with two-step clustering analysis. While the first group located 74 students (27.8%) who were not addicted, M = 43.81, the second group was composed of 121 students (45.5%) who were at risk, M = 1.75, and the third group was composed of 71 students (26.7%) who were addicted, M = 114.94. The level of Internet addiction in the sample with a low socioeconomic level was obtained as M = 68.588, SD = 21.424. In accordance with findings of the two-step clustering analysis, this sampling was collected into three groups based on their similarities. The first group (n = 91; 48.7%) did not have addiction, (x) over bar = 51.14; individuals in the second group (n = 79; 42.2%) were observed to be at risk, M = 78.72, and the third group (n = 17; 9.1%) showed addiction, M = 114.88. While elevated dependency was calculated at a rate of 26.7% in students with a high socioeconomic level, the rate of elevated dependency was calculated as 9.1% for the group with a low socioeconomic level. Additionally, this study discusses the possible impact of different socioeconomic levels on Internet addiction.Article Comparison of Parental Attitudes Before and During the Covid-19 Pandemic(Moscow State Univ Psychology & Education, 2022) Atli, Sibel; Gunuc, SelimThe goal of this study was to investigate changes in parental attitudes and family variables during the COVID-19 pandemic.Survey methodology was employed to collect the data; the questionnaires included a family information form prepared by the researchers and the "Parental Attitude Research Instrument" (PARI), used to examine changes in parental attitudes related to the pandemic. The initial data, collected immediately before the outbreak of COVID-19, were compared with data gathered in May 2020, by which time the pandemic had already spread throughout Turkey.The research sample included 119 mothers with preschool children aged 5-6 years enrolled in four public schools.Our findings indicated that changes in family life and parental attitudes occurred during the pandemic. While scores measuring the two PARI subscales of dependency and egalitarianism and democratic attitudes increased, the scores for rejection of the homemaking role and strictness and authoritarianism decreased. According to the multivariate analysis of covariance (MANCOVA) results, there was a statistically significant difference between the time measurements (taken before and during the pandemic) with respect to the combined dependent variables of egalitarianism and democratic attitudes and strictness and authoritarianism, even after controlling for the demographic variables.Article Confirmation of Campus-Class Model in Student Engagement: a Path Analysis(Pergamon-elsevier Science Ltd, 2015) Gunuc, Selim; Kuzu, AbdullahStudent engagement is considered to be important for learning, performance, retention, persistence, experience and achievement. In order to understand and explain student engagement, some theories and models have been developed. The Campus-Class-Technology (CCT) Theory is one of these theories. The theory tries to explain the relationships between student engagement and technology theoretically. The purpose of this study was to determine the influence of technology on student engagement and to examine the relationships between student engagement and technology use in class. For this purpose, the CCT Theory was tested with path analysis. The study was designed with the causal research method. The research sample was made up of 332 teacher students. Demographic Variables Form, Student Engagement Scale and Tendency Scale for Technology Use in Class were used as data collection tools. As a result of the analyses conducted regarding the test model, it was found out that the variables of valuing and belonging predicted emotional engagement while emotional engagement predicted behavioral engagement; lastly, behavioral engagement predicted cognitive engagement. Within the scope of the model, technology was found to be one of the causes which predicted and increased class engagement. The results of the study revealed that use of technology in class and out of class increased student engagement or had a facilitator role in the development of student engagement. Also, based on the results obtained, several suggestions were put forward for implementation, for higher education institutions and for future research to increase student engagement. (C) 2015 Elsevier Ltd. All rights reserved.Article Examining the Relationship Between Student Engagement and Campus Climate: a Case in Turkey(Sage Publications inc, 2022) Gunuc, Selim; Artun, Huseyin; Yigit, Emrullah; Keser, HafizeSeveral variables have been examined in relation to student engagement at universities in the past decades. However, the number of studies conducted especially with larger groups of participants to examine certain variables such as gender, accommodation, transportation to campus, and reasons for university choice is limited. In addition, there is almost no such research carried out in the context of the Turkish society. The study aimed to examine the relationship between student engagement and campus climate with a large group of participants from all over Turkey. The study was carried out using the survey research design. The research sample covered all the geographical regions in Turkey. The sample included 7,802 students in total. In the study, the Demographic Variable Form, Student Engagement Scale, and Campus Climate Checklist were used as the measurement tools. Finally, a significant correlation was found between the university campus climate and student engagement.Article Implementation and Evaluation of Technology Mentoring Program Developed for Teacher Educators: a 6m-Framework(Hipatia Press, 2015) Gunuc, SelimThe purpose of this basic research is to determine the problems experienced in the Technology Mentoring Program (TMP), and the study discusses how these problems affect the process in general. The implementation was carried out with teacher educators in the education faculty. 8 doctorate students (mentors) provided technology mentoring implementation for one academic term to 9 teacher educators (mentees) employed in the Education Faculty. The data were collected via the mentee and the mentor interview form, mentor reflections and organization meeting reflections. As a result, the problems based on the mentor, on the mentee and on the organization/institution were determined. In order to carry out TMP more effectively and successfully, a 6M-framework (Modifying, Meeting, Matching, Managing, Mentoring - Monitoring) was suggested within the scope of this study. It could be stated that fewer problems will be encountered and that the process will be carried out more effectively and successfully when the structure in this framework is taken into consideration.Article Online Shopping Addiction: Symptoms, Causes and Effects(Turkish Green Crescent Soc, 2016) Gunuc, Selim; Keskin, Ayten DoganOne of the various forms of technology used to make life easier is online shopping. Reasons for which one might prefer online shopping over real life shopping include such factors as ease of search, lower prices, a variety of goods, time saved, ease of use, entertainment, promotions, and impulsive behaviors in the shopper. A number of individuals have found themselves addicted to online shopping due to a lack of self-control. This study aims not only to reveal participants' reasons for preferring online shopping, but also to define and describe the hedonic nature of online shopping addiction. The study follows a mixed method design in which both qualitative and quantitative methods are applied in the data collection process. Qualitative data was collected from a total of 105 participants who had stated that they frequently used the internet to shop using the snowball sampling method. Quantitative data, on the other hand, was collected by asking open-ended questions to 18 randomly selected individuals from the original 105 participants. The researcher collected data through face-to-face and internet interviews over a period of five months. The sample group was composed of 80% women (n = 84) and 20% men (n = 21) with participants' ages ranging from 18 to 55 (mean: 29). The tools used to collect data were an open-ended questionnaire, a form soliciting demographic information, and the Hedonic Shopping Scale. Quantitative data were subjected to descriptive analyses, a t-Test, ANOVA analyses, and in order to classify hedonic shopping scores, to a two-stage clustering analysis. Qualitative data, on the other hand, were analyzed using content analysis. This work concludes with an evaluation of the qualitative and quantitative data on online shopping followed by a discussion on factors contributing to online shopping addiction as well as related concepts.Article Parents' Views on the Impact of Technology on 18 To 24-Month Old Infants(Turkish Green Crescent Soc, 2018) Gunuc, Selim; Atli, SibelSpanning the first years of life, infancy constitutes an important development process for an individual. As it is known that environmental factors influence infants' development and as information and communication technologies, such as smart phones, tablet computers, and the Internet, have become integral components of the environment, the impact of technology on infants is a matter of concern. The importance of this discussion is compounded when it is born in mind that such devices attract the oft-undivided attention of 18 to 24-month old infants, possibly impairing infants' ability to fully take advantage of this stage of discovery. In that respect, the aim of this study is to investigate the impacts of technology on infants where parents use technological devices for themselves or their infant or where they allow their babies to use these devices. The data were through qualitative research methods. The study population consisted of 52 parents, of which 32 were mothers and 17 were fathers, with at least one 18 to 24-mont old infant in the province of Van, Turkey in 2017. A semi-structured interview form containing a single question was prepared and probes were asked to obtain detailed information and guide the interview. Content analyses were conducted to analyze the qualitative data. The study reveals three main themes gleaned from parents' views on the impact of technology on 18 to 24-month old infants, namely: (i) parents' reason for using technology, (ii) change of emotions in infants when technological devices are used and not used, and (iii) infants' reactions and behaviors during use. These results were discussed in terms of technology's impact on infants.Article The Profile of Internet Dependency in Turkey and Development of Internet Addiction Scale Study of Validity & Reliability(Hacettepe Univ, 2010) Gunuc, Selim; Kayri, MuratThe purpose of this study is to build a Turkish Internet addiction scale Also describing Internet dependency profile of Turkey is aimed The sample of the study included 754 students at secondary education level The scale was five-point likert-type and consisted of 35 items In grading of scale Two Step Cluster Analysis Method in classification methods was applied to the sample due to obtain detail results about addiction situations of individuals Cronbach alfa (alpha) internal consistency coefficient of the scale was found to be 944 In this study, exploratory factor analysis for structural validity and confirmatory factor analysis to test the correctness of factor structure were determined as method The scale is consisted of four sub factors which were defined as Withdrawal Controlling difficulty Disorder in Functionality and 'Social Isolation" Total stated variance regarding the scale is 47 463% In this study 76(10,1%) of 754 individuals were found to be addictive of InternetArticle Relationships and Associations Between Video Game and Internet Addictions: Is Tolerance a Symptom Seen in All Conditions(Pergamon-elsevier Science Ltd, 2015) Gunuc, SelimThere are several similarities and relationships between behavioral addictions. These relationships between behavioral addictions could be said to result especially from Internet use. It is seen that problematic or excessive use of the Internet not only results in Internet addiction but also leads to and contributes to such other behavioral addictions as video game addiction. The present study examined the associations in related literature with the relationships between video game and Internet addictions and aimed at determining the correlations between video game and Internet addictions. Also, the study further focused on whether the symptom of tolerance occurred in all conditions or not. In the study, correlational research was used. The study was carried out with 200 students from a high school located in the Eastern part of Turkey. Video Game Addiction Questionnaire and Internet Addiction Scale were used to collect the research data. For the analysis of the data, descriptive statistics, TwoStep Cluster Analysis, correlation analysis and Independent Samples t-Test were applied. Consequently, it was found that there was a strong correlation between video game addiction and Internet addiction. Also, not in all conditions can tolerance be said to be among the symptoms of video game addiction or Internet addiction. (C) 2015 Elsevier Ltd. All rights reserved.Book Part Social Networks as a Communication Tool From Children's Perpective: a Twitter Experience(Walter de Gruyter Gmbh, 2016) Gunuc, Selim; Misirli, Ozge; Odabasi, H. FerhanPopularity and use of social networks among all ages for various purposes brings up the necessity for investigation of these networks on human psychology and interpersonal communication. As contrasted by different researchers, displacement and stimulation hypotheses arose on either side and resulted in the need for a wider examination of social networks. However, inferences neither theoretical nor practical descent alone will fail to enlighten every spot including effects of social networks on structure and wealth of the society. Thus, research is necessary to examine the influence of social networks all demographics within society, with the present chapter focusing on children. This chapter discusses the effects of social networks on lifestyles and behaviors of people both psychologically and socially by linking theory and practice. The chapter itself is comprised of two sections; the first section presents an evaluation of role of social networks on children and its use as a communication tool, while the second section presents a sample case of from the social network Twitter. The study was carried out in a private primary school in Turkey with 51 students. Use of Twitter was promoted by organizing a contest on Twitter. Communication through twitter was also promoted and experiences on use of Twitter as a communication tool are examined in detail. In terms of data collection, the study used a case study and a questionnaire, semi-structured interviews, document analysis, as well as open ended questions.. In this study, social networks were evaluated from children's perspectives and discussed in the light of theories.Article Student Engagement Scale: Development, Reliability and Validity(Routledge Journals, Taylor & Francis Ltd, 2015) Gunuc, Selim; Kuzu, AbdullahIn this study, the purpose was to develop a student engagement scale for higher education. The participants were 805 students. In the process of developing the item pool regarding the scale, related literature was examined in detail and interviews were held. Six factors - valuing, sense of belonging, cognitive engagement, peer relationships (emotional engagement-I), relationships with faculty members (emotional engagement-II) and behavioural engagement within the scope of the components of campus engagement and class engagement - made up of 41 items were identified. The total variance explained was 59%. A higher student engagement score was regarded as an indicator that the student had a high level of engagement with the university, campus and class, while a lower score demonstrated that the student's engagement with the campus and class was weak or that disengagement could occur.Article Technology Integration in English Language Teaching and Learning(Univ Nis, Fac Sci Math, 2017) Gunuc, Selim; Babacan, NuriTechnology has improved rapidly in recent years and this improvement is affecting the field of education as it is in every field. In this context, traditional education methods have become inadequate as the technology is also rapidly changing students' expectations and learning habits. The effective use of information and communication technologies in education is mainly based on increasing the learning speed of the students during the education process, reducing the cost and providing effective learning. The rapid progress of technology makes technology usage indispensable for foreign language teaching and learning as well. The purpose of this study is to address the importance of ICT tools in the teaching-learning process of basic English language skills and to introduce the technology integration process for English language teaching and learning. It is understood that the integration of technology in English teaching and learning is of great importance in the development of basic English language skills such as listening, reading, speaking and writing. The hardware and software technological tools used in English language teaching and learning can make many contributions both to teachers and students in terms of repeated use of materials, availability of materials everywhere and at all times, costless or low cost of materials, and effective learning in a short time. As a result of this study, it can be said that the process of technology integration needs to be carried out consciously and in a planned way in order to make significant contributions to the use of technology, which is an essential task for teachers. Consequently, it should not be forgotten that the technology is to be effectively integrated into English language teaching and learning, and if the integration is not effectively done, on the contrary, technology may have a negative impact on the students' learning process.Article Testing Models Regarding Online Shopping Addiction(Turkish Green Crescent Soc, 2017) Keskin, Ayten Dogan; Gunuc, SelimThe aim of this study is to examine why adults prefer online shopping and which factors lead to online shopping addiction. The study has been carried out using the screening model, a quantitative research method. Certain variables in the study have been identified in light of the qualitative findings, with theoretical models being developed in the first part of the study. These models are then tested quantitatively in the second part of the study. The data has been collected from 105 adults using the snowball sampling method. Path analysis has been conducted to analyze the data. After obtaining the variables regarding online shopping (i.e., ease of use, usefulness, pleasure, stress, and depression), several models were developed in consideration of the related literature. In Model-I, the variables of stress, depression, ease of use, and usefulness predict hedonic shopping, while in Model-II, the variables of stress, ease of use, usefulness, and hedonic shopping predict depression. Meanwhile, the paths have been determined to be from stress to hedonic shopping in Model-I and from stress to depression in Model-II.