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Showing 6 results for Users

Reza Basirianjahromi, Zahed Bigdeli, Gholamreza Haidari, Alireza Hajiyakhchali,
Volume 3, Issue 2 (9-2016)

Background and Aim: Gamification refers to the use of game elements in non-game contexts to motivate engagement. This definition is the most comprehensive one presented so far. The term was proposed first in 2002 but it has been prolonged 8 years to attract individuals’’ attention. Gamification has been applied in various contexts according to its capabilities. The current study aims to investigate the concept of gamification and its dimensions in library environment.

Methods:  This study used review method as well as comprehensive and systematic study to assess the concept of gamification in accordance with library environment.

Results: The results showed that gamification dimensions could improve the library functions and users’ loyalty. This could help libraries to solve the “engagement crisis”.

Conclusion: Playful engagement is an important approach to help librarians to attract maximum audience in the new information landscape. To achieve this, gamification and its elements can play an important role.

Dr. Saleh Rahimi, , ,
Volume 6, Issue 2 (8-2019)

Background and Aim: Technologies such as social networks have provided new opportunities for health and social interactions, and the promotion of attitudes such as the attitudes of health control and improving the health literacy in society. The purpose of this study is to determine the relationship between the use of social networks with the health literacy of Ilam public library users.
Methods: The present study has used questionnaire based survey method. The statistical population of this study is 4696 users of public libraries in Ilam. Based on Morgan's table, 351 individuals were selected as sample size. The questionnaire was distributed by using of stratified random sampling method. To analyze the data, descriptive and inferential statistical tests were used by SPSS 19 software.
Results: The Findings showed that the components average of users in receiving health literacy information was at a sensible level and, due to the importance of those components, users began to utilize social networks in the field of health literacy. Also, the findings showed that there was a significant relationship between users' use of social networks and health literacy and the components (access, reading, understanding, assessment, application), so that by increasing the use of social networks, the health literacy of users increases as well.
Conclusion: According to the findings, it can be concluded that public libraries, universities and centers related to health cooperate so that held suitable conditions in social networks with the aim of experience sharing and expanding the level of health literacy of users by taking into account issues related to user information confidentiality and so that new facilities and conditions can be provided library users, institutions and planners in this field.
Mrs Fariba Mirzaei, Dr Maryam Sarrafzadeh, Dr Mohammad Khandan,
Volume 7, Issue 3 (12-2020)

Aim: today, digital literacy, as a set of skills that enable people to use digital space effectively for success in personal, educational and professional life, has become a necessity in all societies and public libraries are one of the most important providers of digital literacy education in the world. Digital literacy education has not been considered in public libraries in Iran. The first step in promoting digital literacy education in Iran`s public libraries is to design courses and topics that can cover a variety of this aspects of the phenomenon. Now, the boundaries of this content art not clear, and this research seeks to design a comprehensive framework to meet this need. The purpose of this study is to present a content framework for digital literacy education to Iranian public libraries users.
Methodology: this research is a qualitative research and it`s method is qualitative content analysis. at first, the courses provided by the public libraries of Iran Were reviewed and then content analysis of digital literacy courses was conducted in public libraries of developed countries. 16 libraries were selected from English speaking countries that hold digital literacy courses and share information on their websites by cluster sampling with probability proportional to size. To perform Delphi, Experts from the fields of library and information science and information technology, and public libraries professionals were selected.
Findings: 9 courses were identified and after compiling a questio0nnaire and preforming two Delphi rounds, these courses were reduced to 8 main courses and 37 sub-courses. These courses were included computer, internet, job management, information literacy, financial literacy, learning skills, effective communication skills and how to work with smartphones. Software courses were not considered suitable by specialists. This seems to be due to the different groups of society and the heterogeneous community of public libraries users and the experts do not see this as a readiness in the society to receive software related courses.
Conclusion: digital literacy education in Iran has generally neglected. Generally, digital literacy education in universities and educational institutions is provided in formal computer training courses. Libraries in general have paid very little attention to the issue of education.  the first step in advancing digital literacy education in public libraries is designing courses that can covers the various aspects of this phenomenon. Educational content is also one of the sides of the education triangle (learner, educator and educational content). However today the boundaries of this content are not clear and this study try to design a comprehensive framework to meet this need.
Mr Ahmad Majlesara, Dr Fatemeh Fahim Niya, Dr Nader Naghshineh,
Volume 8, Issue 2 (9-2021)

Background and Objective: The study aims to develop and validate a model for analyzing the textual feedback of users in social networks in the face of environmental events and actions with emphasis on identifying the factors affecting the presentation of text messages by users in social networks.
Research Methodology: Heuristic mixed method has been used. In the first stage, the meta-combined method was applied with a qualitative basis. In the second stage, to inspect, validate the identified factors and prepare the final research model, the survey method via questionnaire and forming conveyor group was combined. Population consisted of: 1) Selection and analysis of written documents related to the analysis of textual feedback and users' feelings, including 60 articles and works based on valid criteria from among 198 articles and works; 2) Experts in  information technology, sociology, behaviorism, etc., which 15 people were selected, but as a result and limitations of the corona pandemic comments and suggestions were remotely submitted.
Results: Using the seven steps of meta-combination, a conceptual pattern was obtained in six conceptual layers, categories and codes. In each layer, concepts and topics were included, and to end 27 components were identified. For qualitative validation, the obtained model was found based on the opinions of experts in the form of focus groups and the conceptual model was approved by the research experts.
Conclusion: The conceptual model - obtained from the hybrid stages and focus groups – which has been approved and accepted by experts could be used as a basis for future research to guide, and direct the behavior of users in social  networking in order to provide strategies and executive policies for officials and decision makers in relevant organizations and institutions.
Hoda Khodashenas, , Zobeideh Khodashenas,
Volume 8, Issue 3 (11-2021)

Background and Aim: The purpose is to identify the components of health literacy amongst University library users.
Methodology: This purpose-based research is a qualitative-quantitative survey study. The qualitative part concentrates on the individuals with background in health literacy and research. In the quantitative part students at the libraries of the University of Tehran were surveyed. The research instrument was a structural questionnaire on health literacy of individuals in the community. Reliability of  more than 0.7 was obtained via Cronbach’s alpha
Findings: It is important to mention that understanding health information stood at the desirable level and other components stood at a comparatively appropriate stage among the elements of health literacy of users at the University Library of Tehran. Although there is a significant relationship between health literacy skills with income, there is no significant relationship among gender, age, faculty, and level of education with health literacy skills.
Conclusion: It is necessary to measure health literacy practically and apply the results in the community and other comparable communities. The level of health literacy could increase considerably by using programs to promote the health literacy of the community.

Nosrat Riahinia, Farzaneh Shadanpour, Keyvan Borna, Gholam Ali Montazer,
Volume 9, Issue 3 (10-2022)

Purpose: This study investigates the automatic keyword extraction from the table of contents of Persian e-books in the field of science using LDA topic modeling, evaluating their similarity with the golden standard, and users' viewpoints of the model keywords.
Methodology: This is mixed text-mining research in which LDA topic modeling is used to extract keywords from the table of contents of scientific e-books. The evaluation of the used approach has been done by two methods of cosine similarity computing and qualitative evaluation by users.
Findings: Table of contents are medium-length texts with a trimmed mean of 260.02 words, about 20% of which are stop-words. The cosine similarity between the golden standard keywords and the output keywords is 0.0932 thus very low. The full agreement of users showed that the extracted keywords with the LDA topic model represent the subject field of the whole corpus, but the golden standard keywords, the keywords extracted using the LDA topic model in sub-domains of the corpus, and the keywords extracted from the whole corpus were respectively successful in subject describing of each document.
Conclusion: The keywords extracted using the LDA topic model can be used in unspecified and unknown collections to extract hidden thematic content of the whole collection, but not to accurately relate each topic to each document in large and heterogeneous themes. In collections of texts in one subject field, such as mathematics or physics, etc., with less diversity and more uniformity in terms of the words used in them, more coherent and relevant keywords are obtained, but in these cases, the control of the relevance of keywords to each document is required. In formal subject analysis procedures and processes of individual documents, this approach can be used as a keyword suggestion system for indexing and analytical workforce.

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