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Elmira Karimi, Mahmoud Babaee, Moloukosadat Hosseini Beheshti,
Volume 5, Issue 3 (12-2018)

Background and Aim: Information systems cannot be well designed or developed without a clear understanding of needs of users, manner of their information seeking and evaluating. This research has been designed to analyze the Ganj (Iranian research institute of science and technology database) users’ query refinement behaviors via log analysis.   
Methods: The method of this research is log analysis. In this research, the Ganj users’ query refinement behaviors were analyzed. User’s logs during 3 months between May and June 2016 were analyzed for semantic features. The study tool was a researcher-made checklist of semantic features. The total searches were 10 milion records which were limited to information science domain. About 106641 records were selected for analysis. 
Results: The semantic relationships (based on thesaurus relationships) were revealed between pair’s terms in user’s searches. The results showed that users refined their searches based on some semantic relationships.    
Conclusion: The results of this research can be used to improve the Ganj results and for term suggestion for users, so that they be able to choose proper terms while there are several related terms.
Ms Maryam Babaee, Dr Hassan Rastegarpour,
Volume 6, Issue 4 (3-2020)

Background and Aim: With the advent of technology and the use of social networks such as Instagram, Facebook, blogs, forums, and many other platforms, interactions of learners with one another and their lecturers have become progressively relaxed. This has led to the accumulation of large quantities of data and information about students' attitudes, learning experiences, opinions, and feelings about the teaching-learning process. Opinion mining is one of the growing applications of data mining knowledge which by discovering patterns and models in users' opinions could help higher education to well plan, make well-versed policies, and to have fruitful management. Therefore, the purpose is to describe the applications of opinion mining to advance the excellence of higher education in Iran.
Methodology: Research method is an applied qualitative one.    Population comprises of all the research and books associated with opinion mining that were available in reputable databases of  IEEE, SSCI, Elsevier, CIVILICA, and Science Direct during the research data collection period in the spring of 2019. Using the convenience sampling method, 35 articles were selected with the aim of reviewing and describing educational opinion mining and analyzing its application in higher education.
Results: Based on the studies, it was found that opinion mining can be used as an effective tool in three parts: 1. Improving student performance; 2. Designing better online courses; and 3. Evaluating the efficiency of the educational activities of universities, professors, and various programs. Therefore it can also help to recognize the existing shortcomings, strengths, and weaknesses.
Conclusion: Higher education can scrutinize the sentiments, opinions, and ideas generated by students through opinion mining. Exploring this valuable information enables educational institutions, principals, and educators to make more appropriate decisions in education and improve the quality of educational services which leads to the improvement of academic performance and better career choices for individuals.
Mazhar Babaee, Hedyeh Azagh, Shima Yazdanpanah,
Volume 9, Issue 4 (1-2023)

Introduction: Information literacy is the ability to identify and critically evaluate information to solve problems in a specific field. The use of this procedure in the environment of universities and for students depends on their awareness of the many angles of information measurement in this field.
Methods: this study was to investigate the information literacy status of students and teachers of the Farhangian University of Kurdistan Province From six perspectives: information review, information source recognition, information dissemination, information recognition, flexibility, and information search. This research is practical and of a survey type and was carried out between January and March 2022. The study population consisted of all students of Farhangian University of Kurdistan Province in the academic year 2021-2022, which numbered over 1500 people. Using random sampling, 350 student-teachers were selected as a statistical sample. The data collection tool was a researcher-made 66-item information literacy questionnaire based on a 3-point Likert scale. The reliability of the questionnaire was 86% using Cronbach's alpha method. And for its validity, the views of university professors were used. Multivariate analysis of variance, one-way analysis of variance, and Pearson torque correlation coefficient test was used to analyze the data using SPSS software.
Results: The results showed that there is a significant relationship between the components of information literacy of male and female student teachers (P = 0.0001). Therefore, in this study, gender has a small effect on the components of information literacy. Also, there is no significant difference between information literacy in its 6 components and the different educational disciplines of Farhangian University (P> 0.05). Finally, there is no significant relationship between information literacy in its 6 components and the age of Farhangian University students and teachers. Therefore, the information literacy situation of the students of the Farhangian University of Kurdistan is at an Intermediate level.
Conclusion: Information literacy is the set of skills and qualifications needed in the information society for teachers, therefore, by considering factors such as review, knowledge of sources, dissemination, recognition, flexibility, and search for information, it can be enriched. Building information literacy skills.

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