Research Article
Alfiya R. Masalimova, Elmira R. Khairullina, Natalya I. Lapidus, Natalia A. Orekhovskaya, Marina R. Zheltukhina, Ekaterina A. Baranova
CONT ED TECHNOLOGY, Volume 14, Issue 3, Article No: ep371
ABSTRACT
Smartphones are mobile technology cutting-edge. Daily, the amount of time spent on a phone increases. Excessive smartphone use and addiction have developed into big social issues. Addiction to smartphones is a negative and pathological concept that is assessed by a set of subjective and behavioral symptoms including fixation, loss of control, and withdrawal symptoms. Teachers in STEM fields have a higher degree of involvement with their students in the use of digital tools. STEM teacher candidates must demonstrate an understanding of how to incorporate technology successfully into classroom activities. Determine the incidence of smartphone addiction among prospective STEM educators to justify future awareness training. The association between pre-service STEM instructors’ smartphone addiction was studied. The research included 242 persons, 180 of whom were females and 62 males. The SAI is self-administered and scored independently for each dimension. Data is analyzed using machine learning techniques. Cluster analysis is used to analyze the inventory’s dimensions. The k-means technique is used for cluster analysis. The library’s SHAP (SHapley additive explanations) approach was used to evaluate the classification result and assess the impact of attributes on the classification result. According to the findings, the highest level was judged to be 30 participants. Approximately 3%4 participants are deemed moderate (high and very high). Also, 48 people are at a low level. In terms of the overall group, it is modest. Being in the lowest cluster is linked to 100+ uses, whereas being in the highest cluster is linked to 6-10 uses. The exact degree of smartphone use linked to smartphone addiction is unknown. Females inversely correlate with the highest and lowest clusters.
Keywords: smartphone addiction, pre-service teachers, machine learning algorithm, cluster analysis
Research Article
Ayodeji Awobamise, Yosra Jarrar, Gabriel E. Nweke
CONT ED TECHNOLOGY, Volume 14, Issue 2, Article No: ep354
ABSTRACT
This study aimed at furthering the research on the relationship between social communication apprehension, self-esteem and Facebook addiction. To measure the three variables, a questionnaire comprised of The Personal Report of Communication Apprehension (PRCA-24), The Rosenberg Self-Esteem Scale (RES), and The Bergen Facebook Addiction Scale (BFAS) was administered to 654 university students in Uganda. Pearson’s correlation analysis and multiple linear regression coefficient analysis were carried out. A positive significant relationship between communication apprehension and Facebook addiction and a negative significant relationship between self-esteem and Facebook addiction were reported. Findings further revealed that self-esteem and communication apprehension significantly predicted Facebook addiction.
Keywords: social communication apprehension, self-esteem, Facebook addiction, Uganda
Review Article
Almira R. Bayanova, Alexey A. Chistyakov, Maria O. Timofeeva, Vladimir V. Nasonkin, Tatiana I. Shulga, Vitaly F. Vasyukov
CONT ED TECHNOLOGY, Volume 14, Issue 1, Article No: ep342
ABSTRACT
Smartphones facilitate communication, education, information, and entertainment through a diverse array of mobile applications. Excessive smartphone use has become a significant societal issue. The research community has explored both the positive and negative consequences of mobile phone use. The phrase “problematic smartphone use” refers to an excessive pattern of smartphone use that may have negative consequences. Smartphone addiction may present with symptoms that are unique from Internet addiction. Severe sadness, anxiety, and tension are all associated with problematic smartphone use. Numerous negative consequences are discussed, including mental health problems, diminished physical fitness, and poor academic achievement. According to the findings of the literature analysis, there is no inventory that evaluates smartphone addiction in the context of Russia. The goal of this study is to examine the psychometric characteristics of the smartphone addiction inventory (SPAI) in a Russian context. Several Russian Federation universities performed the study during the autumn semester of the 2020-2021 academic year. To enhance the inventory, Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) were utilized on 209 students. As a result, research on the validity and reliability of the Smartphone Addiction Inventory were done in the Russian setting. The research revealed a brief inventory of 14 items and three factors (functional impairment, anxiety, and compulsive behavior).
Keywords: smartphone addiction inventory, psychometric properties, exploratory factor analysis (EFA), confirmatory factor analysis (CFA), university students
Research Article
Poh Chua Siah, Jie Yeng Hue, Bernie Zi Ru Wong, Sin Jie Goh
CONT ED TECHNOLOGY, Volume 13, Issue 4, Article No: ep320
ABSTRACT
The excessive use of social media is prevalent among undergraduates. Dark triad personality is one of the significant predictors of social media addiction, but inconsistent findings were reported. This study adopted the personality-coping-outcome theory as a framework to examine whether coping strategies mediate the effects of dark triad personality on social media addiction. The purposive sampling method was used to recruit 219 undergraduates for a survey. The results showed that only narcissism is associated with social media addiction, and only avoidance coping strategy mediated the effects of pathology on social media addiction. It is suggested a complete theory is required to explain the relationships between dark triad personality and social media addiction, and a coping scale to be developed to cover the coping strategies that fit dark triad personality.
Keywords: social media addiction, Dark Triad, coping strategies, Machiavellianism, narcissism, pathology
Research Article
Ernesto Colomo Magaña, Andrea Cívico Ariza, Julio Ruiz Palmero, Enrique Sánchez Rivas
CONT ED TECHNOLOGY, Volume 13, Issue 4, Article No: ep314
ABSTRACT
The excessive use of ICTs is a growing problem among young people. The social isolation caused by COVID-19 can increase these inappropriate behaviour. This study aims at analysing the problematic use of ICTs in trainee teachers based on the gender variable before and after the COVID-19 lockdown based on the gender variable. A longitudinal panel design was carried out with pre-test and post-test measurements based on the gender variable. The sample consisted of 147 students from the Faculty of Education at the University of Malaga who were tested using a validated instrument: MULTICAGE-TIC. The results show that women used ICTs at a higher risk than men before lockdown, except for video games. During lockdown, men obtain higher scores than women in all the analysed ICTs (except for mobile phones). Both genders reach dependency level in all ICTs except for video games in women. The significant increase in all ICTs shows that the effects of the pandemic, such as restrictions on mobility and social interaction, have influenced such growth.
Keywords: addiction, ICT, educational personnel training, COVID-19
Research Article
Arturo García-Santillán, Ester Espinosa-Ramos
CONT ED TECHNOLOGY, Volume 13, Issue 2, Article No: ep296
ABSTRACT
Nowadays, the serious situation that affects the entire world goes beyond the social, cultural, economic problems and other conflicts that occur day by day. These were left aside to move to a global alert; we refer to the pandemic crisis that all the nations of the world are facing. Confinement forced people all over the world to stay at home; therefore, communications through electronic devices became very necessary. This study does not seek to analyze the pandemic crisis; its purpose is to analyze the use that students give to their mobile phone, to determine if this has generated addiction, in addition to identifying if use differs in men and in women. Participants were 184 high school students enrolled in a public sector institution in the Port of Veracruz, Mexico. To obtain the data, the SAS-CV test was used. This contains questions related to the profile of the respondent and 10 items in Likert format. It was distributed via electronic devices for their response. The data were statistically analyzed using polychoric correlation matrices and factor analysis with component extraction. The main findings demonstrate the obtaining of three components: physiological, dependence and distraction, which account for 68% of the total variance, and it was also shown that there are no differences by gender.
Keywords: addiction smartphone, polychoric correlations matrices, principal component, factorial analysis
Research Article
Osman Erol, Nese Sevim Cirak
CONT ED TECHNOLOGY, Volume 10, Issue 2, pp. 156-172
ABSTRACT
The aim of this study is to examine the loneliness and Internet addiction levels of college students in terms of demographic variables and to determine the variables that predict their Internet addiction level. Data were collected from college students studying at a public university in Turkey. The UCLA Loneliness Scale Version3 and Internet Addiction Test (IAT) were used as the data collection tools. College students were delivered an online survey and at the end 489 college students were voluntarily participated in the study. This survey study employed independent sample t-tests, ANOVA tests, correlation and multiple regression tests for data analysis. The results show that younger participants felt significantly more loneliness than older participants; similarly, students in lower classes felt more alone than those in upper classes. In terms of addiction, it is seen that the frequent use of computers, smartphones and social media increases the Internet addiction level of students. The study suggests a significant correlation between loneliness, Internet addiction, age, and Cumulative Grade Point Average (CGPA). Additionally, loneliness and CGPA significantly predict Internet addiction. This study may be important in terms of determining the psychological variables affecting today's increasing technology addiction (internet, smart phone, etc.). Thus, determining the effect of the level of loneliness of young people on internet addiction may be effective in terms of preventing this addiction.
Keywords: Internet addiction, Loneliness, UCLA loneliness scale, Internet addiction test
Research Article
Ali Simsek, Kemal Elciyar, Taner Kizilhan
CONT ED TECHNOLOGY, Volume 10, Issue 2, pp. 106-119
ABSTRACT
Considering that social media addiction is probably the most recent type of technology addiction, the present study was designed based on the six components suggested by Griffiths (2013). Toward the main purpose of the study, the "Bergen Facebook Addiction Scale" was adapted to social media addiction and translated into Turkish. After the validation process, it was administered to a total of 700 students; of them 397 were high school students and 303 were university students. The data collection instrument included 18 five-point Likert-type items in six categories, along with 5 structured items regarding demographics of the respondents. In addition to the original findings of the present study, similar research on social media addiction in some other countries were examined for comparisons. The results showed that both university students and high school students have a moderate level of addiction to social media. Being a university or high school student does not make any difference on the level of social media addiction. However, significant differences were found regarding gender, duration of use, department at the university, and type of high school. Finally, the results of the study show certain similarities and a few differences with the results of the studies conducted in other countries.
Keywords: Internet addiction, Social media, Internet addiction, Social media addiction, University students, High school students
Research Article
Levent Cetinkaya
CONT ED TECHNOLOGY, Volume 10, Issue 1, pp. 55-74
ABSTRACT
This study aimed to investigate the relationship between parental psychological and behavioral control which the adolescents perceived from their parents and internet addiction. It employed relational survey model and was carried out with the participation of a total of 356 students (female=205, male=151) aged 14-18. Correlation and regression analyses were utilized to determine the level and direction of the relationship between their perceived parental psychological and behavioral control, and internet addiction. The results yielded a positive, medium-level and meaningful relation between them. It was found that parental psychological control explained nearly 18% of the total variance in internet addiction and mothers are perceived as significantly more psychologically controlling in internet addiction than fathers. Also, the relationship between parental behavioral control and the level of adolescents’ internet addiction was found negative and non-significant. Consequently, it was noted that perceived parental psychological control was effective in adolescents’ internet addiction tendencies, whereas behavioral control did not produce such effect.
Keywords: Internet addiction, Psychological control, Behavioral control, Parental control
Research Article
Eylem Simsek, Jale Balaban Sali
CONT ED TECHNOLOGY, Volume 5, Issue 3, pp. 239-256
ABSTRACT
How Internet addiction affects happiness of university students in terms of their cognitive and emotional resources was not adequately investigated. One of the inner resources of life satisfaction and happiness is defined as psychological capital (PsyCap), under the paradigm of positive psychology. PsyCap consists of four main sub-factors: hope, resilience, self-efficacy, and optimism. The major purpose of this study is to examine the role of Internet addiction and social media membership on PsyCap. The interaction between social media membership and Internet addiction was also investigated. The study employed a quantitative approach of scientific inquiry which combined descriptive, relational, and comparative models. The sample consisted of 209 students at a medium size state university in Turkey. Internet Addiction Inventory (Young, 1998) and Psychological Capital Questionnaire (Luthans et al., 2007) were employed as data gathering tools. A demographic data sheet was also used for determining the reasons and the amount of time for using Internet. In analyzing data, a set of correlation, analysis of variance, and multiple regression techniques were conducted. The results were complex. Internet addiction and PsyCap were negatively correlated. Students who spend more time on the Internet and social media, who are male and use Internet for daily communication were more likely to have higher Internet addiction scores. PsyCap can be significantly predicted by academic success, Internet addiction and having a blog. Although social media using time was not interacted with PsyCap, social media membership leaded to both higher PsyCap and higher Internet addiction. Especially, PsyCap scores of the students who had Linkedln and YouTube accounts were significantly higher. Internet addiction scores were also higher for students having Twitter, YouTube, Pinterest, and Linkedln accounts. It can be concluded that Internet addiction decreases PsyCap. Social media membership increases both Internet addiction and PsyCap.
Keywords: Internet addiction, Psychological capital, Social media, Positive psychology
Research Article
Ozgen Korkmaz, Cengiz Sahin, Ertugrul Usta
CONT ED TECHNOLOGY, Volume 2, Issue 3, pp. 200-212
ABSTRACT
The purpose of this study was to investigate the relationship between interaction and audience anxiety levels and Internet addiction of adults. The research was performed in the survey model as a descriptive study. A total of 384 adults with different ages living in a Central Anatolian city constituted the sample of the study. Data were collected through the Interaction and Audience Anxiety Scale (α=.91) and Internet Addiction Scale (α=.86). The mean, standard deviation, frequency, percentage, t-test, ANOVA, Scheffe test, and Pearson correlation coefficient were employed in analyzing the data (p < .05). The following results were obtained: Both the interaction anxiety and audience anxiety levels of adults were low. The levels among adults in the ages of 20-29 were significantly higher than the levels among adults in other age-groups. The levels of interaction anxiety and audience anxiety in the student group were significantly higher than other occupational groups. Gender did not differentiate interaction and audience anxiety levels of adults. There was also a positive and significant correlation between the levels of anxiety and Internet addiction.
Keywords: Interaction anxiety, Audience anxiety, Internet addiction, Adults