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Aim: In this study, personal variables, technology use cases, vaccine-related variables, social media-specific epistemological beliefs, media literacy, and social influence strategies were examined as predictors of Covid-19 vaccination hesitancy (VH) beliefs. Subject and methods: The prediction design research model is used to detect the predictors of the dependent variable. The study group consists of 378 participants. Five different scales were used together with the self-description form as a data collection tool. Results: According to the results of the research, individuals who have positive perceptions about the safety of Covid-19 vaccines and who have received the Covid-19 vaccine have lower anti-vaccine beliefs. It is another situation that prevents the opposition to vaccination of those who research the source of information on social media. As a result, age, education and income level, social media usage experience, media literacy, and social influence strategies were not effective on the participants' anti-vaccine beliefs. Conclusion: According to the findings of the study, positive perceptions about the safety of Covid-19 vaccines, being vaccinated against Covid-19, and researching a source of information on social media variables seem to be effective in laying the foundations for constructive interventions such as using anti-vaccine beliefs to guide, reduce or eliminate negative beliefs about vaccines.
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This study aimed to examine the predictive relationship between video gaming addiction (VGA) and the level of video gaming competency among video gamers. Additionally, the role of time spent playing video games, video game engagement (VGE), video game positive perception (VGPP), social support and quality of relationships with peers were examined. We recruited 227 participants using the purposive sampling method. Of the participants, 50.20% self-identified as Novice-Amateur video gamers while 49.80% indicated being a regular-expert level players. We collected data from participants utilizing a personal and video games information form and five scales and (video game positive perception, videogame addiction scale, video engagement scale, multidimensional scale of perceived social support and relational health indices). These scales are valid and reliable instruments suitable for research purposes. The primary data analysis method was the Partial least squares- structural equation modeling (PLS-SEM). Our results demonstrated that the relationship between VGA and VGE differs based on the participants' video gaming competency level. Another important result is that VGPP has a significant positive relationship with VGA (p < 0.001), VGE (p < 0.001) and video game playing and watching activities (p < 0.001). Furthermore, an increase in the time spent on watching Twitch content is associated with an increased VGA level (p < 0.05). Finally, the time spent on playing video games has different patterns with perceptions of social support according to the level of expertise of the players. This study indicates that VGPP plays a crucial role in predicting VGA and VE and highlights the importance of considering the level of players when examining the relationship between VGA and VE. The conclusions also exhibit that the increasing popularity of esports and video game content tracking may significantly impact VGA. The role of social support in video gaming behaviors varies based on the player's level of expertise.
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In this study, the effects of remote learning attitude, extrinsic and intrinsic goal orientation on the dimensions of online engagement were examined. 293 teacher candidates at a state university in Turkey participated in the research. PLS-SEM was used to analyze the data. In all models, relationships related to online collaboration with peers, online communication with instructor, participation in online classes, and completing assignments and tasks were confirmed. The relationships between the attitude towards attending online courses and the skills and emotional dimensions of engagement were confirmed. The relationships between intrinsic goal orientation (IGO) and skills and emotional dimensions of engagement are significant. Extrinsic goal orientation (EGO) is only related to the performance dimension of engagement.
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The purpose of this study is to examine the relationships between creative self-efficacy (CSE), rational experiential thinking, and cognitive flexibility thinking skills, and authentic learning self-efficacy (ALSE) as a result of authentic learning (AL) activities in educational online social networks. The participants of the research are 102 university students. The study group was determined by a convenient sampling method. Variance-based PLS-SEM using partial least square was used to examine the relationships between research variables. According to the research findings, it is seen that cognitive flexibility in online social networks has a significant effect on experiential ability and rational favorability. Findings show that rational favorability has a positive and significant effect on CSE. Research findings indicate that personal variables such as gender, age, and academic success perception do not have a significant effect on CSE in learning that takes place in online social networks. It was evaluated whether CSE has an effect on online ALSE, and it was found that other sub-dimensions other than "keeping up with technological advancements" are significant.
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During the COVID-19 period, individuals who physically isolated themselves from the social environment increased their screen time compared to before, and the time spent in the family environment increased. Increasing screen time is considered a factor that increases addiction. In this context, the purpose of this study was to examine the profiles of university students according to multiple screen addiction, mobile social online gaming addiction, and general mattering. The participants of this study are 588 university students. Personal information form and four different scales were used in the study. The latent profile analysis was used to analyze the data. As a result of the research, four different sets of participants were formed. The variables excessive behavior, compulsive behavior, and loss of control increase the likelihood that students will be clustered in the average profile. It was observed that all variables except gender and age increased the probability of clustering in the medium multiple screen addiction low gamers profile. It was observed that excessive behavior, compulsive behavior, and loss of control variables increased the probability of clustering in the high multiple screen addiction high gamers profile. As a stronger predictor than other profiles, it was determined that the probability of students performing high multiple screen addiction high gameplay activities was approximately 3 times more than the students in profile 1.
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The aim of this study is to examine the lifelong learning tendencies of English teachers, their professional competencies, and their self-efficacy in integrating technology. For this purpose, a descriptive survey model was used in this study. The participants of the research consist of 561 English teachers working in institutions (private and state) affiliated to the Ministry of National Education selected from every geographical region of Turkey. Participants work in primary, secondary, and secondary education institutions. Non-random stratified purposive sampling method was used in the sample selection of this study. Personal Information Form and 3 different scales were used for the data collection process of the research. Analysis of the data was performed by one-way analysis of variance (ANOVA), t-test, and simple linear regression analysis. As a result of this research, it was seen that there is a positive correlation between English teachers' technology integrating self-efficacy, professional competency, and lifelong learning tendencies. It was determined that teachers' self-efficacy in integrating technology and professional competencies are predictors of their lifelong learning tendencies. In addition, it was observed that there was a significant difference in English teachers' self-efficacy in integrating technology, lifelong learning tendencies, and professional competencies according to gender. English teachers' professional competencies differ according to the type of institution, while their self-efficacy in integrating technology differs according to the type of institution and age. It is thought that the results of this study will contribute to raising awareness about the impact of teachers' self-efficacy and professional development on technology integration on issues surrounding their lifelong learning tendencies.
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The Flipped Classroom (FC) approach is an important model for individualizing teaching, improving motivation, interaction, and increasing academic performance in a student-centered learning environment. However, at FC, not all students benefit equally from teaching opportunities. There may be important individual differences that affect their academic performance. The relationship between personality traits and academic performance in the FC model in which collaborative group studies are carried out is important for the design of individualized learning environments. In this context, the aim of this study is to research the relationship between academic success and personality traits within a collaborative flipped classroom model. Additionally, in this study, the differentiation of the relationship between academic success and personality traits according to gender, motivation, engagement, and interaction variables were examined. In this research, relational screening model was utilized. The application was achieved through the participation of 167 students for a 14-week period in Turkey. In the research, self-description form and data collection instruments were utilized. At the end of this research, Extraversion from personality traits is the strongest predictor of academic performance in FC. According to descriptive statistics, it was found that female students scored higher in FC settings for extraversion, and male students had higher scores for openness than other structures. In addition, it was found that the motivation scores of women and engagement scores of men were prominent. It was observed that the openness personality of the students with low motivation and the agreeableness of the students with high motivation is more dominant than the other personality structures. Students with the low level of engagement had the highest openness, and those with high agreeableness scores were the highest. The students with the low level of interaction had the highest openness scores, while those with high levels of interaction had the highest conscientiousness. While personality traits and academic achievements of students differed significantly according to gender, motivation and interaction levels, no significant difference was found according to engagement levels. The results reached in this study will guide the applicators about how the students become more ready to learn based on the personality traits of the classroom in which the FC model was utilized.
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Psychological factors have a significant role in better understanding mechanisms that affect students' academic performance. The intense and long-term stress of the pandemic process has made it necessary to rethink the components which effect the academic achievement of pupils. The purpose of this study is to examine the variables that predict the academic achievement of university students during the pandemic process and to present a model on these variables. The study group has 241 students who continue their undergraduate education in Turkey. The data were collected with a self-description form and 6 scales. The partial Least Squares (PLS) Structural Equation Model was used to analyses the developed research model. In consequence of the study, a relationship was obtained between academic procrastination (AP) and multi-screen addiction (MSA). Covid-19 burnout has a crucial effect on AP, multiscreen addiction, and psychological well-being variables. Motivation and self regulation-attention variables are explanatory of AP. This study contributes to expanding the nomological network regarding the effects of Covid-19 on the psychological well-being and behavior of individuals.
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Social media usage has been popular for the last decade. Individuals use their social media environments for various reasons such as to socialize, play games, have fun and share posts. Overuse of these environments may lead to negative psychological and behavioral consequences for individuals. Additionally, it increases the worries about potential addicted/problematic use of social media. In this study, it is aimed to determine the level of problematic social media usage of participants who are active social media users and to analyze the relationships between problematic social media usage and various personal characteristics and social variables. Study in relational screening model is carried out with the participation of 580 volunteers. Partial least squares (PLS) structural equation modeling is used to analyze the data obtained through various scale according to the research model. The structural equation modeling analysis shows that there is a significant relationship between problematic social media usage and the daily time of social media usage, the use of frequency of social media for recognition, publicity, communication/interaction and education, loneliness, and social anxiety. The variable which shows higher correlation between problematic social media usage is social anxiety.