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Showing 2 results for زین العابدینی

Saeed Malekmohammadi, Mohsen Zainolabedini,
Volume 5, Issue 3 (12-2018)
Abstract

Background and Aim: This study attempted to investigate Khouzestan Institute for Higher Education students' viewpoints on librarians' nonverbal communication skills and their roles to attract the audience.
Methods: This is an analytical survey which used a researcher-made questionnaire to measure librarians’ communication skills in five dimensions by 39 statements. It also measured students’ satisfaction of librarians’ performance through one question. The population consisted of 3500 bachelor students enrolled in second semester of 2016-2017 academic year. According to Krejcie and Morgan Table, 346 students were determined as the sample. Using SPSS v.20 software, descriptive and inferential statistics were applied.
Results: From the students point of view the total score of nonverbal communication skills of librarians was 4.58±0.71. The highest means belonged to “facial expression” (4.70±.30) and “their situations and hints (4.64±.468). The score of students’ satisfaction with librarians was 4.68±0.47, accordingly.   
Conclusion: There are a lot of research on non-verbal communications skills in general; however, there was no sufficient research on librarian's non-verbal communication skills. Library in academic institutions, where librarians interact with the youth, non-verbal communication skills may prevent many unnecessary encounters.
Ph.d Student Nahid Amiri, Dr Nosrat Riahinia, Dr Sholeh Arastoopoor, Dr Mohsen Haji Zeinolabedini, Dr Dariush Alimohammadi,
Volume 6, Issue 3 (10-2019)
Abstract

Background and Aim: The object of the  study was to Analyze IFLA Library Reference Model (LRM) Entities and Attributes for Iranian Traditional Music Resources, Case Study: Morq-e Sahar Song.
Method: The  study inherits an applied content analysis method. All Entities and Attributes of  IFlA LRM Model based on  two checklists include:  Final report of IFlA LRM on August 2017 and Transition Mappings User Tasks, Entities, Attributes, and Relationships in FRBR, FRAD, and FRSAD mapped to their equivalents in the IFLA Library Reference Model Analyzed for Morq-e Sahar Song data elements. The research sample size involves Fifty different performances of Morq-e sahar Song.
Results: The results show that all the eleven Entities and the Thirty -Seven Attributes of IFLA-LRM except for Cartographic scale attribute parallels  in Morq-e sahar  song data elements.
Conclusion: As a first step,  the results of  the study  in identifying conveniences of this model for organizing traditional Iranian music resources, realizing IFlA LRM Model’s Entities and Attributes which is  appropriate in Iranian traditional music organization is operational.  The results are also practical for experts of Information organization and designers of Information retrieval system.

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