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Volume 3, Issue 1 (6-2016)
Background and Aim: Nowadays, Internet is known as an attractive source of health information to manage individual's health. Given the importance of it, this study examined the role of Internet in health information seeking behavior among young people in Shiraz.
Method: This research was a survey which target population were youth Internet users in the city of Shiraz. A sample of 400 were randomly selected using, multi-stage cluster sampling. Data were collected by a questionnaire.
Results: Most of respondents used the Internet to search health information. Young women were more likely to seek online health information than young men. As well as level of education, the experience and self-efficacy to search the Internet, showed a significant correlation with searching OHI, too. The main goal of respondents to search OHI was to understand their health condition or disease, better understanding of health information provided by physicians and self-medication. The results also showed that respondents have positive attitude towards health information retrieved via the Internet.
Conclusion: There is a high demand of OHI among young people to manage personal health. Undoubtedly, foresight and planning to improve the quality of OHI, efforts to create a reliable health information database and public education to care about assessing the quality of OHI can herald the development of individual health and consequently the health of our community.
Volume 3, Issue 4 (3-2017)
Background and Aim: This study tends to investigate the reasons of interpersonal trust and the results of trust in online scientific social networks.
Methods: The applied Research has been used cluster sampling to collect data. The study population consisted of Shiraz university and Persian Gulf university faculties. A sampling of 269 person was determined by Morgan table according to whole population (900 person). In order to gathering data it was used Wu, Chen and Chang (2010) questionnaire. SPSS version 21 was used to analyze data.
Results: Results showed that Among the reasons that create trust among scientific social networks members, Satisfaction (Mean score= 27.2 and T score= 53./6) is the most effective. According to the obtained correlation coefficient between two variables commitment and trust (0.798), commitment is the result of trust in online scientific social networks. Furthermore, the correlation coefficient between two variables Stickiness and trust (0.744) showed that the stickiness is the results of trust between members of online scientific social networks.
Conclusion. Due to high impact of satisfaction on creating trust between members of online scientific social networks, we should create consent and satisfaction of members, in order to provide a place that researchers think these networks are good places to present their specialized knowledge and experience and they can exchange their information and knowledge.
Volume 12, Issue 1 (5-2025)
Given the important impact of information literacy in today's societies and in line with the efficiency of individuals, especially students, information literacy can be predicted and planned for its management through indicators. Therefore, the present study aims to examine the relationships between the variables of cognitive flexibility and openness to experience with the level of information literacy by examining students of Shiraz University, a university that enjoys a distinguished scientific position in the country and the results of this study may contribute to its scientific growth through further understanding of the factors affecting the information literacy of its students, and to test the extent of the impact of the two variables in predicting the level of information literacy of the said society, if a relationship exists.
Methods and Materoal
This research is descriptive in terms of data collection and quantitative in terms of data nature. The statistical population also includes students of Shiraz University in the academic year 1400-1401, about 17,000 people, and the sample size was calculated as 375 people using the Cochran formula. The members of the research sample were selected using convenience sampling. Data collection was carried out through a questionnaire. To measure the level of information literacy, the research questionnaires of Seng et al. (2020), Pinto et al. (2020), and Lee et al. (2020) were used, based on the classification of the Information Literacy Framework for Higher Education (2016). To measure face and content validity, the questionnaire was sent to seven information science and knowledge experts, and the final version was obtained based on their opinions. The reliability of the research tool was obtained using Cronbach's alpha coefficient of 0.937. To measure cognitive flexibility, the cognitive flexibility questionnaire developed by Dennis & Vander Wal (2010) was used, whose validity was measured by these researchers, and its convergent validity with the cognitive flexibility scale of Martin and Robin (1995) was 0.75. The reliability of this questionnaire was also obtained using Cronbach's alpha, which was 0.787. To measure openness to experience, the Big Five Personality Factors questionnaire by Goldberg (1999) was used, whose validity was proven in the Khormai study (2006) using factor analysis. The reliability of this questionnaire was obtained using Cronbach's alpha, which was 0.788. Pearson correlation tests, linear regression, and stepwise regression were also used to analyze the data.
Resultss and Discussion
in order to examine the power of each variable in predicting the level of information literacy, the correlation between the variables was first calculated through the Pearson correlation test, and the results showed that cognitive flexibility, openness to experience, and information literacy have a positive and significant relationship with each other.
Then, a simple linear regression test was used to examine the role of cognitive flexibility in predicting the level of information literacy of the subjects, and the cognitive flexibility variable was entered as a predictor variable and information literacy as a criterion variable in the regression equation. The findings showed that the regression model of the predictive power of the cognitive flexibility variable on information literacy (F(1/278)=(43/682 p=0/000) with a coefficient of determination R2=/136 is significant. For each unit increase in cognitive flexibility, the information literacy score increases by 58/567 units. In other words, according to the calculated standard regression coefficient, cognitive flexibility explains 36/8 percent of the variance in information literacy (Table 2). Then, a simple linear regression test was used to examine the role of openness to experience in predicting the level of information literacy of the subjects, and the openness to experience variable as a predictor variable and information literacy as a criterion variable was entered into the regression equation and the findings showed that the regression model of the predictive power of the variable of openness to experience on information literacy is significant F(1/ 298) = (97/167 p = 0/000) with a coefficient of determination R2 = /246. For each unit increase in openness to experience, the information literacy score increases by 112/313 units. In other words, according to the calculated standard regression coefficient, openness to experience explains 49/6 percent of the variance in information literacy (Table 3). Finally, the stepwise regression test was used to predict the level of information literacy of users based on the variables of cognitive flexibility and openness to experience. The results of the stepwise regression test showed that among the predictor variables in the first step, the component of openness to experience was able to be the strongest The variable was significantly able to predict the level of information literacy of the subjects (p= /000). This variable alone was able to explain about 50/9 percent of the variance in the level of information literacy. In the second step, the variable of openness to experience explained about 43/1 percent of the variance in the level of information literacy, and cognitive flexibility was able to enter the model and explained 19/5 percent of the variance in the level of information literacy (p= /000). Accordingly, in total, the two variables of openness to experience and cognitive flexibility were able to explain 62/6 percent of the variance in information literacy (Table 4).
Conclusion
The results of this study can be an effort to improve the existing knowledge about information literacy and identify more factors that influence it. Also, the results of this study can help universities, with the help of information literacy experts, design curricula and training workshops to strengthen these components and improve the level of information literacy and to develop students who have higher information literacy and are prepared for future life and careers. Students, also aware of the important role of openness to experience and cognitive flexibility, can overcome the potential problems associated with their lack of information literacy by improving their level of openness to experience and cognitive flexibility by participating in workshops related to these components and also by increasing their information literacy skills by participating in workshops and information literacy training courses.
Volume 12, Issue 1 (5-2025)
Purpose: Studying the role of cognitive flexibility and openness to experience in predicting the information literacy level of Shiraz University students in the academic year 1401-1402.
Methods: The present research method is descriptive-correlation. The number of Shiraz University students is about 17,000people, of which 375 people were selected as the statistical population of the study by calculating Cochran's formula through available sampling. To collect data, three questionnaires were used, including Goldberg's Big Five Personality Factors (1999), Cognitive Flexibility Questionnaire made by Dennis and Vanderwaal in 2010, and Information Literacy Questionnaire, which was created using the research questionnaires of Seng et al. (2020), Pinto et al. (2020) and Lee et al. (2020) and based on the classification of information literacy framework for higher education (2016) prepared and used. For data analysis, Pearson correlation test, linear regression and multiple regression were used in SPSS software.
findings: the findings of the research show that by adding cognitive flexibility and openness to experience , the level of information literacy of subjects increases . also , openness to experience ( higher rate ) and cognitive flexibility were able to predict information literacy of subjects .
originality / value: the relationship between cognitive flexibility , openness to experience and level of information literacy as well as the ability of cognitive flexibility and openness to experience in students " knowledge literacy level will lead researchers to know what aspects of cognitive features should be considered in information literacy . also , students can overcome the difficulties associated with the lack of literacy education by promoting the level of openness to experience and cognitive flexibility and increasing their skills through participation in workshops and training courses.
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