Akademik Sosyal Araştırmalar Dergisi, Yıl: 5, Sayı: 55, Ekim 2017, s

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1 Akademik Sosyal Araştırmalar Dergisi, Yıl: 5, Sayı: 55, Ekim 2017, s Yayın Geliş Tarihi / Article Arrival Date Yayınlanma Tarihi / The Publication Date İbrahim DALBUDAK Süleyman Demirel Üniversitesi, Atabey Meslek Yüksek Okulu, dalbudakibo@hotmail.com Seyit AKPANCAR Süleyman Demirel Üniversitesi, Atabey Meslek Yüksek Okulu, seyitakpancar@sdu.edu.tr Kürşat HAZAR Muğla Sıtkı Koçman Üniversitesi, Spor Bilimleri Fakültesi, kursathazar@mu.edu.tr INVESTIGATION OF INTERNET ADDICTION LEVELS OF STUDENTS IN DEPARTMENT OF COMPUTER TECHNOLOGIES AND FORESTRY AT ATABEY VOCATIONAL SCHOOL (ISPARTA EXAMPLE) Abstract In this study, it was aimed to introduce whether internet addiction levels of students of Computer Technologies and Forestry Department of Süleyman Demirel University Atabey Vocational School have differentiated or not and their opinions about internet usage.the Internet has become an indispensable part of our lives because it provides fast information access and facilitates communication. The increasing of the today's Internet use more excessive than predicted is described as the type of internet addiction. As a result of these developments, the use of excessive and unnecessary internet use has begun to cause internet addiction in youngsters. Excessive and unnecessary use of the internet in our country has created the basis for internet addiction. Internet addiction in our country is seen more in youngsters. As youngsters, guarantee of the future, spend their time on internet more than necassary, this situation affects their success in education and other fields negatively and leads them to be asocial and to have an inactive lifestyle This study is an important study for determining the internet addiction levels of youngsters with different interests. In the study, "Internet Addiction Scale" was used to collect data from voluntary individuals.

2 Keywords: Internet Addiction, Vocational School, Student, Sport. ATABEY MESLEK YÜKSEKOKULU BİLGİSAYAR TEKNOLOJİLERİ İLE ORMANCILIK BÖLMÜNDEKİ ÖĞRENCİLERİN İNTERNET BAĞIMLILIK DÜZEYLERİNİN İNCELENMESİ (ISPARTA ÖRNEĞİ) Öz Bu çalışmada, Süleyman Demirel Üniversitesi Atabey Meslek Yüksekokulu Bilgisayar Teknolojileri ile Ormancılık Bölümü öğrencilerinin internet bağımlılık düzeylerinin farklılaşıp farklılaşmadığının ve internet kullanımı konusundaki görüşlerinin ortaya konması amaçlanmıştır.internet, hızlı bilgi erişimi sağlaması ve iletişimi kolaylaştırması nedeniyle yaşantımızın vazgeçilmez bir parçası haline gelmiştir. Günümüzde internetin tahmin edilenden daha aşırı bir şekilde kullanımının artması, internet bağımlılık türü olarak nitelendirilmektedir. Bu gelişmeler sonucunda gençlerde, aşırı ve gereksiz internet kullanımı, internet bağımlılığını ortaya çıkarmaya başlamıştır. Ülkemizde internetin aşırı ve gereksiz kullanılması, internet bağımlılık hastalığına zemin oluşturmuştur. Ülkemizde internet bağımlılığı gençlerde daha fazla görülmektedir. Geleceğin teminatı gençlerin zamanlarının gereğinden fazlasını internet üzerinde geçirmeleri, onların eğitimde ve diğer alanlarda başarısını olumsuz etkilemekte, sosyalleşememesine ve hareketsiz bir hayat tarzına neden olmaktadır. Bu çalışma farklı ilgi alanlardaki gençlerin internet bağımlılığı düzeylerinin tespiti açısından önemli bir çalışmadır. Çalışmada, gönüllü bireylerden veri toplamak amacıyla İnternet Bağımlılık Ölçeği kullanılmıştır. 287 Anahtar kelimeler: İnternet Bağımlılığı, Meslek Yüksekokulu, Öğrenci, Spor. 1. INTRODUCTION Today, the internet is a very important means of communication and information sharing in school, business and community life. The Internet is a tool that is getting widespread every day and easy to being accessed together with increasing technological opportunities, providing freedom for information access, communication and socialization to its users, Some researchers even think that the Internet has become an indispensable tool for communication and socialization, especially among the young. On the other hand, some researches reveal that the internet causes considerable negative impact and results on the life of the individual. The most important of these is internet addiction. In the literature, Internet addiction is defined as "the problem of spending too much time depending on the internet at the computer" (Young, 1998). In addition, Shaw and Black (2008) defined internet addiction as either excessive or poorly controlled mental activities, impulses and behaviors that cause disorder (Shaw and Black, 2008). The increase in the time of Internet usage has led to the problem of internet addiction. Internet addiction manifests itself with the signs such as not being able to limit internet use, continuing to use it despite social or academic damages, and being anxious when internet access is restricted (Esen and Siyez, 2011). Internet addiction and problematic internet use are also important threats for some adolescents like many adults. Therefore, it should be recognized that internet addiction plays an important role in gaining an identity that is from the most basic developmental needs of adolescence (Ceyhan, 2008).

3 Selnow (1984), expressed that the computer and the Internet take children s friends place with the hypothesis electronic friendships and stated that the social relations of children who prefer electronic friendships to real friendships are weak. They see themselves happier, more excited, being full of life, etc. while using the Internet. They feel unhappy when there is no internet and they push all other feelings and emotions to the negatives because of this reason. They feel uncomfortable in the environment where there is no internet, however, they feel more relaxed and relieved spiritually at the place having internet (Chou and Hsiao, 2000). These factors form the basis for addiction disease after overuse of the internet (Çalışkan et al., 2015). It is observed that they don t sleep at night as they spend much more time than determined time on the internet and social media accounts. Moreover, this condition has reached such an extent that even shopping is done over the internet. As a result of this condition, the situations such as insomnia, weakness, decrease of work efficiency, asociality, health problems due to inactivity, etc. became inevitable (Suler, 1996). As a consequence, families are on a quest (Çalışkan et al., 2015). As a result, the Internet can cause as many negation as positive things in the individual's life. In this context, the purpose of this study is to examine the relationship of internet addiction in vocational college students. 2. MATERIAL METHOD A questionnaire (ANNEX-1, ANNEX-2) was prepared in accordance with the information contained in the theoretical part of the study. The questionnaire consists of two parts. 288 In the first part, there are demographic characteristics (age, gender, educational status, income level, sports branch) which belong to the students. In the second part, there is a 20-question scale adapted from the criteria of Psychoactive Substance Addiction of DSM-IV, developed by Young (1996) and adapted to Turkish by Bayraktar (2001), to determine internet use. In the Internet Addiction Scale, which is a six-point Likert-like scale, participants are asked to mark one of "Never", "Rarely", "Occasional", "Mostly", "Very often" and "Continuous". 0, 1, 2, 3, 4 and 5 points are given to these options respectively. Those who score 80 and above are defined as "Pathological Internet Users". Those who score between are defined as "Limited Symptom", those with 50 points or less are defined as "Symptom-free". In this study, the median value (Median = 27.0) was examined as the students points did not have a normal distribution on the Internet Addiction Scale and since the standard deviation value (Sd=15.80) was high, the group over the quarter deviation of median was accepted as its addiction level was high ( = 31 points and over) and the group below the quarter deviation was accepted as its addiction level was low (27-4 = 23 points and below). The middle values were discarded. It was translated by Bayraktar (2001) from English into Turkish within the framework of the research objectives. In Bayraktar's (2001) study, the Cronbach Alpha internal consistency coefficient of the IBT was.91 and the Spearman-Brown value was.87. For the reliability of the scale, the Cronbach alpha coefficient was calculated as.89. In this study, to determine the reliability of the test, scales with test - retest method were applied to the student group every other two weeks. Correlation between points obtained from two applications was found.86. Cronbach Alpha internal consistency coefficient was.91 for the whole group (Young, 1996, Bayraktar, 2001, Canoğulları, 2017).

4 2.1. Statistical Analysis The assumptions about the analyzes were examined before passing to the data analysis. The data set was free from lost and incorrect coding. Then, the hypothesis of normality was tested with kurtosis and skewness coefficients. It was seen that the values of the skewness and kurtosis were between -1 and +1 and therefore the variance had normal distribution. In the analysis of the data, Independent Samples T-Test and One-Way ANOVA were used according to the nature of the independent variable. Analyses were tested with SPSS 22 and.05 significance level. 3. FINDINGS In this study, a survey was conducted on a total of 208 people composed of 179 males and 29 female students in order to determine the relationship between the students in the computer technologies and forestry department in Suleyman Demirel University Atabey Vocational School in academic year. As sub-problems, the relationship between those who did sports and did not do sports, and individual and team sports were examined according to the gender, age, education and economic status of the students. "Internet Addiction Scale" developed by Young (1998) and on which adaptation studies into Turkish were done by Bayraktar (2001) applied to the participants (Table 1). Table 1. "Internet Addiction Scale" N Mean Std. Deviation Skewness Kurtosis α 289 Statistic Statistic Statistic Statistic Statistic INTERNET , ,90240,749, Table 2. Findings related to internet addiction according to sex Sex N Average Ss T sd p Male , , ,015 69,560,004 Female 29 43,5517 8,49196 Findings about whether internet addiction changed according to sex or not show a significant differentiation in internet addiction according to sex (P <0,05), (t (69.56) = 3.015, <.05) (Table 2). It is seen that male participants' internet addiction points averages were significantly higher than female participants averages.

5 Table 3. Findings related to internet addiction according to age Squares average sd Squares average F p Between-groups 4433, ,444 1,504,125 In-group 47914, ,714 Total 52347, In Table 3, when the analysis results regarding the internet addiction of the participants according to age were examined, it was found that the internet addiction did not differ significantly with age. (P> 0.05). (F (12, 195) = 1.504, p =. 125). In addition, as the number of people in some age groups is less than three, the results of comparison regarding averages among age groups were not given. Table 4. Findings related to internet addiction according to doing sports or not Sex N Average Ss T sd p Yes , , , , No 83 51, ,21660 In Table 4, Findings on internet addiction according to whether participants do sports or not were given. When the results of the t-test for independent samples were examined, it was found that the participants internet addiction level did not differ significantly according to whether doing sports or not (P> 0,05). (T (206) = , p =.090). However, descriptive statistics showed that participants doing sport had a lower point average than those who did not. Table 5. Findings related to internet addiction according to type of sport Sex N Average Ss T sd p Individual 85 49, , , ,139 Team 44 45, ,23083 When the findings obtained according to type of sport which the participants did were examined, it was seen that there was no significant differentiation in the internet addiction of the participants according to sport type (P> 0,05). (T (127) = 1.487, p =.139) (Table 5). However, in terms of descriptive statistics, it can be stated that the participants doing individual sports had a higher point average.

6 Table 6. Findings related to internet addiction according to income Squares average sd Squares average F p Between-groups 89, ,953,176,838 In-group 52257, ,915 Total 52347, In Table 6, when the findings regarding internet addiction according to the participants income status were examined, it was seen that internet addiction did not differ significantly according to participants' income status (P> 0,05), (F (2, 205) =.176, p =.838). Table 7. Findings related to internet addiction according to participants department Sex N Average Ss T sd p Computer Technologies , , , ,118 Forestry , , The results of the analysis on the internet addiction of the participants according to the section type showed that the internet addiction did not differ significantly in terms of the department they study (P> 0,05), (t (206) = 1.571, p =.118) (Table 7). Although there is no significant differentiation, the descriptive data showed that the point average of the students in the forestry department was lower than the students in the other department. 4. DISCUSSION AND RESULT The purpose of this study is to define the internet addiction levels of the students who are studying at Computer Technologies and Forestry Department in Süleyman Demirel University Atabey Vocational School in academic year and examine them in terms of different variables. The secondary purpose of the study is to determine whether there is a significant difference or relationship between internet addiction levels in terms of demographic characteristics. This study was conducted on a total of 208 people consisting of 179 male and 29 female students studying at Atabey Vocational School. As seen in Table 2, it was determined that there was a significant difference between male and female (gender) in terms of Internet Addiction points (P <0.05). It is seen that the male participants' internet addiction point averages were significantly higher than the female participants. In addition, Bölükbaş (2003) found a significant relationship between internet addiction and gender (Bölükbaş, 2003). It is seen that this finding obtained as a result of the research is consistent with the results of many researches.

7 As seen in Table 3, points on internet addiction do not show any significant difference according to age (p> 0,05). While significant difference on internet addiction in terms of age was not detected in a study (Özdemir, 2016), in another study, it was mentioned that internet addiction was seen more frequently in young adults without being stated age (Bölükbaş, 2003). As seen in Table 4, when the findings according to whether the participants did sports or not were examined, it was seen that there was no meaningful differentiation regarding internet addiction of the participants in terms of sport (p> 0,05). After making a literature review, detailed studies relevant to this study have not been found. In a similar study, when internet addiction points were compared according to whether individuals were licensed athletes or not, it could not be found any significant difference between being a licensed athlete and internet addiction (Özgen, 2016). This situation supports the study we have done. However, as a result of descriptive statistics, participants who do sports had lower point average than those who do not, which shows parallelism with the work we have done. In table 5, when the findings obtained according to sport type were examined, it was seen that there was no meaningful differentiation of the participants regarding internet addiction in terms of sport type (p> 0,05). However, in terms of descriptive statistics, it can be stated that the participants doing individual sports had a higher point average. It was not found any relevant detailed studies on this topic as the result of the literature review conducted in our study. This issue should be examined with more detailed questions, and it should be asked more detailed questions about social clubs and sports events in new researches which will be done (Ergin et al., 2013). 292 In Table 6 there is no significant difference regarding the internet addiction in terms of the participants income (P> 0,05). In a literature review similar to our study, Reyhanlıoğlu (2015) reported that there is no relationship between internet addiction and financial income. In Table 7, participants internet addiction according to the department type was examined and the results of the analysis showed that the participants regarding internet addiction did not differ significantly in terms of the department they study (P> 0,05). Internet addiction, Kır and Sulak (2014), in their study on education faculty student and Köse et al. (2012) in their study on health school students, shows that there is no differentiation between the above study data and our study of internet addiction. Although there is no significant differentiation, descriptive data indicated that the point average of the students in the forestry department is lower than the others. The internet addiction point of the students in the Forestry Department is lower. We think this is related to the department. Özgen (2016) found that internet addiction points differ statistically in comparing the internet addiction points of the faculties. This study supports the study we have done. As a result, the use of computers and the internet during the Technology era has become a part of our lives. The most basic reason of the Internet's output is that sharing information is quick and easy, and it increases communication. The rapid spread of the Internet has begun to lead to internet addiction which can be described as a new type of addiction. Moreover, the fact that youngsters and children have plenty of leisure time causes them to become addicted to the internet Internet addiction is more common in youngsters and children. As a result of the problems caused by excessive use of the internet by youngsters and children in our country, neces-

8 sary studies have been initiated by the experts who can do the treatment of internet addiction. Therefore, scientific studies have been carried out in order to get rid of internet addiction in our country and it is considered to increase the number of these studies. 5. RECOMMENDATIONS 1. As internet addiction is a problem that is getting widespread day by day and should not to be ignored, youngsters should learn how to use the internet and use internet and computer for a specific purpose. 2. Studies related to the relationship between sport and internet addiction should be done, access to these studies should be easy and people from all strata should reach them. 3. Necessary decisions for the low level of internet addiction in academic studies should be taken and implemented with the specialists. 4. It should be provided that youngsters and children spend much more time on social activities, cinema, theater, museums and sports activities, and necessary environments should be prepared. 5. It can be provided that youngsters and children start to do something together in groups and feel themselves as valuable individuals. 6. Family members should be informed about internet addiction by experts. REFERENCES Bayraktar, F. (2001), İnternet Kullanımının Ergen Gelişimindeki Rolü, Ege University, Social Sciences Institute, İzmir, Turkey. 293 Bölükbaş, K. (2003), İnternet kafeler ve internet bağımlılığı üzerine sosyolojik bir araştırma: Diyarbakır örneği, Dicle University, Social Sciences Institute, Diyarbakır, Turkey. Çalışkan, F., Dalbudak, İ., Kaya, Ş. (2015), Sağlıklı İnternet, The Journal of Academic Social Science, Vol. 3/19, pp Canoğulları, Ö., Güçray, S. S. (2017), Internet Bağimlilik Düzeyleri Farkli Ergenlerin Cinsiyetlerine Göre Psikolojik Ihtiyaçlari, Sosyal Kaygilari ve Anne Baba Tutum Algilarinin Incelenmesi, Journal of The Cukurova University, Institute of Social Sciences, Vol. 26/1, pp Ceyhan, E. (2008), Ergen ruh sağlığı açısından bir risk faktörü: İnternet bağımlılığı, Turkish Journal of Child and Adolescent Mental Health, Vol. 15/2, pp Chou, C., Hsiao, M. C. (2000), Internet addiction, usage, gratification, and pleasure experience: the Taiwan college students case, Computers & Education, Vol. 35/1, pp Ergin, A., Uzun, S.U., Bozkurt, A. İ. (2013), Tıp fakültesi öğrencilerinde internet bağımlılığı sıklığı ve etkileyen etmenler, Pamukkale Medical Journal, Vol. 6/3, pp Esen, E., Siyez, Diğdem. M. (2011), Ergenlerde İnternet Bağımlılığını Yordayan Psiko-sosyal Değişkenlerin İncelenmesi Türk Psikolojik Danışma ve Rehberlik Dergisi, Vol. 4/36, pp Kır, İ., Sulak, Ş. (2014), Eğitim fakültesi öğrencilerinin internet bağımlılık düzeylerinin incelenmesi, Electronic Journal of Social Sciences, Vol. 13/51, pp

9 Köse, D., Çınar, N., Akduran, F. (2012), Hemşirelik öğrencilerinde internet bağımlılığının kişilik özellikleri ve zaman yönetimi ile ilişkisi, Sakarya University, Fen Bilimleri Enstitüsü Dergisi, Vol. 16/3, pp Özdemir, G. (2016), Ondokuz Mayıs Üniversitesi Tıp Fakültesi Öğrencilerinde İnternet Bağımlılığı ve Depresyon Arasındaki İlişkinin Değerlendirilmesi, Ankara University, Faculty of Medicine, Department of Family Medicine, Ankara, Turkey. Özgen, F. (2016), Spor Yapan ve Yapmayan Üniversite Öğrencilerinde İnternet Bağımlılığı İle Kişilik İlişkisinin İncelenmesi, Çanakkale University, Department of Physical Education and Sport, Çanakkale, Turkey. Reyhanlıoğlu, N.Ela, (2015), Türkiye'deki Üniversite Öğrencilerinin İnternete Bağımlılık Düzeyleri İle Sıkıntıya Dayanma, Başaçıkma Stratejileri, Kişilik Özellikleri ve Bazı Demografik Değişkenler Arasındaki İlişki, Üsküdar University, Social Sciences Institute, Istanbul, Turkey. Selnow, Gary.W. (1984), Playing videogames: The electronic friend, Journal of Communication, Vol. 34/2, pp Shaw, M., Black, D. (2008), Internet Addiction Defination, Assessment, Epidemiology and Clinical Management, CNS Drugs, Vol. 22/5, pp Suler, J. (2000), The psychology of cyberspace, Rider University, USA. Young, K. (1996). Center for internet addiction. İnternet Addiction Test (IAT), Young, K. (1998), Internet addiction: The emergence of a new clinical disorder, CyberPsychology & Behavior, Vol. 1/3, pp