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Identifying Factors Affecting Electronic Learning in Information Retrieval | ||
| Journal of Digital Content Management | ||
| دوره 5، شماره 8، 2024، صفحه 247-271 اصل مقاله (1.02 M) | ||
| نوع مقاله: Original Article | ||
| شناسه دیجیتال (DOI): 10.22054/dcm.2023.72057.1188 | ||
| نویسندگان | ||
| Marziyeh Fallah Kordabadi1؛ Sayed Ali Asghar Razavi* 2؛ Safiyeh Tahmasebi Limooni2 | ||
| 1PhD Student, Department of Information Science and Knowledge, Babol Branch, Islamic Azad University, Babol, Iran | ||
| 2Assistant Professor, Department of Information Science and Knowledge, Babol Branch, Islamic Azad University, Babol, Iran | ||
| چکیده | ||
| Purpose: The field of providing information and the method of publishing information has permanently been subject to modification and alteration, and as we know, with the introduction of computer technology in the field of librarianship and the change in the way of providing services, the imperative task of information dissemination has been reserved for librarians. The dissemination of information technology into the education system has led to the emergence of a new concept called e-learning. The task of libraries is to provide infrastructures for information retrieval through the production of integration, organization, and distribution of knowledge. The methods that libraries employ for e-learning include learning collections, tools, and facilities necessary for studying, improving the quality of reference services, and ensuring universal access to books. Therefore, this research aims to identify the factors influencing e-learning in information retrieval. Method: This current research is developmental was conducted using a qualitative approach and grounded theory. The population of the study consisted of 20 experts in the field of information technology in public libraries across the country, who were selected through purposive non-probability sampling. Data were collected through interviews and analyzed through three stages of open, axial, and selective coding, based on which the research model was designed. Findings: The findings showed that e-learning in information retrieval contains of six main dimensions, 45 sub-dimensions, and 85 concepts, which are presented in a paradigm model including causal factors (quality of e-learning website design, quality of education in e-learning environments, employees' enthusiasm for developing knowledge capabilities, employees' belief in continuous training), contextual factors (suitable technical equipment (hardware, software, and network), availability of necessary infrastructure, high accessibility, periodic purchase of required equipment, ease of learning and simplicity of teaching platforms (instructors)), interveners (competence of instructors in course delivery, course development based on indigenous data, organizational culture and atmosphere), central factors (strategies for enhancing the quality of e-learning in information retrieval, processes for improving the quality of e-learning in information retrieval, infrastructures for improving the quality of e-learning in information retrieval), strategic factors (existence of an appropriate incentive system for promoting knowledge sharing (systemic strategy), security of software used (educational approach), efficient support and feedback mechanisms (responsiveness strategy)), and consequences (consistency of goals and plans, adequate understanding of e-learning, formulation of standards, capability in information retrieval). Conclusion: Based on the dimensions, main factors, and sub-factors, the impacts of e-learning in information retrieval can be measured and managed in the studied community. | ||
| کلیدواژهها | ||
| Educational System؛ Effective Factors؛ Electronic Learning؛ Information Retrieval | ||
| مراجع | ||
|
Abtahi, H. (2017). Training and human resource development. Tehran: Institute of Education Studies and Planning, Organization of Development and Modernization of Industries of Iran.
Al-Fraihat, D., Joy, M., & Sinclair, J. (2020). Evaluating E-learning systems success: An empirical study. Computers in human behavior, 102, 67-86.
Amado-Salvatierra, H. R., Hilera, J. R., Tortosa, S. O., Rizzardini, R. H., & Piedra, N. (2016). Towards a Semantic Definition of a Framework to Implement Accessible e-Learning Projects. J. Univers. Comput. Sci., 22(7), 921-942.
Beiraghipanah, E., Askari, A., Naami, A., & Rousta, A. (2020). Presenting a local marketing model with emphasis on consumers' attitudes to buying Iranian products with a customer information behavior approach. Human Information Interaction, 7(2), 46-58.
Corbin, JM. & Strauss, AL. (2008). Basics of Qualitative Research: Techniques and Procedures for Developing Grounded Theory: Sage Publications, Inc.
Daneshvar, M. (2014). Supporting Faculty Members in E-Learning Interdisciplinary, Journal of Virtual Learning in Medical Sciences, 4(4), 25-41.
Dinari, S., & Andishmand, V. (2021). Examining the integration of higher education curriculum with information technology with a virtual education approach, Quarterly Journal of New Advances in Educational Management, 1(3), 101-116.
Ehsanifar, F. (2016). Mapping, visualization, and determination of subject areas in information retrieval using co-authorship network analysis of authors in the Scopus citation database (2005-2017). Master's thesis. Regional Information Center for Science and Technology, Shiraz.
Ghalyan, S., & Zalpour, A. (2019). Identifying Factors of Success in E-Learning Case Study: Physical Education Students at Shahid Chamran University of Ahvaz .Educational Development of Judishapur. 10(2), 135-143. https://doi.org/10.22118/edc.2019.90842
Ghanbari, S., Rezghishirsavar, H., Ziyaeei, M. S., & Mosleh, M. (2019). Presentation of an e-learning assessment model-Islamic Azad Univesity E-Campus. Educational Administration Research, 11(41), 75-100.
Ghasemi, M., Fardanesh, H., Hatami, J. & Ahmady, S. (2018). Evaluation of the Electronic Learning System of Medical Education (Case Study of Shahid Beheshti Medical School). Educ Strategy Med Sci, 11 (4), 39-52.
Guo, j., Huang, Q & Lu, X (2017). Design and Implementation of a Subject Librarian Training Program for University Libraries in China. 54(2), 323–374,
Hariri, N. (2010). Principles and Methods of Qualitative Research. Tehran: Islamic Azad University Science and Research Branch
Kiyaei, SZ. Shirzad Kebria, B. & Hamidi Far, F. (2023). Providing an e-learning pattern for Tejarat Bank managers. Quarterly Journal of Training and Development of Human Resources, 34(34), 331-350.DOR: 20.1001.1.24233277.1401.9.34.7.4
Landis, C. (2018). Librarians in Learning Management Systems: Strategies and Suggestions. Journal of Academic Librarianship, 39(6), 528-534.
Lincoln, Y. S. & Guba E. G. (1985), Naturalistic Inquiry. Thousand Oaks, CA: Sage. P: 124.
Mohammadi Fard, D. (2015). Understanding and implementing digital and virtual libraries. Tehran: Chapar.
Najmul Islam, A.K.M. (2016). E-learning system use and its outcomes: Moderating role of perceived compatibility. Telematics and Informatics, 33, 48–55.
Ohani Zonouz, V., Yari Haj Ataloo, J., Adib, Y, & Daneshvar, Z. (2022). Designing Quality Evaluation Model in the Electronic Curriculum in Higher Education. Education Strategies in Medical Sciences (ESMS), 15(4), 389-400.
Pahlavi Farahani, P. (2017). The place of e-learning, solutions, advantages, and disadvantages. Skill magazine. 61.
Rafiei, M., Ghaffari, H., & Khorami, M. (2017). Evaluating the effectiveness of e-learning method in human resource education (Case study of Markazi Province PNU). Research in School and Virtual Learning, 4(16), 71-84.
Seyyeddokht, N. & Emami, F. (2021). Status of scientific productions in the field of information retrieval in the science web citation database. Knowledge Retrieval and Semantic Systems, 8(27), 105-125. doi: 10.22054/jks.2020.50022.1368
Shahbazi, F., Norouzi, Y., & Alipour-Hafezi, M. (2015). Evaluation of Using Expert System Features in Information Retrieval in Iranian Digital Library Software. International Journal of Information Processing & Management, 30(3), 823-851.
Shirazi, A., Poor Ahmad, AK., & Hassani, M. (2016). The Effectiveness of the Educational Workshops Held by the Iranian Library and Information Science Association of Khorasan Branch Based on Kirk Patrick Model. Library & Information Science Research, 6(2), 244-260.
Tavakoli, S. (2011). Evaluating the reaction of learners from the short-term librarian training courses of Astan Quds Razavi public libraries based on the first level of the Kirkpatrick model. Shamseh: electronic publication of the Organization of Libraries, Museums and Documents Center of Astan Quds Razavi. 6(2). 1-16.
Thongmak, M. (2021). A model for enhancing employees’ lifelong learning intention online. Learning and Motivation, 75. https://doi.org/10.1016/j.lmot.2021.101733
Yarmohamadzadeh, P., Yarigholi, B., & doostI Alvanegh, M. (2021). Examining teachers' Perceptions of Virtual In-Service Training. Quarterly Journal of Training and Development of Human Resources, 30(30), 134-160.
Ziaei, S., Amiri, M.R., Sharif Moghadam, H., Fayyazi, M. (2017) Identifying Dimensions of Organizational Culture Affecting Job Motivations in Public Libraries in Iran: A Qualitative Research. J Ergo. 25(2):26-33. DOI: 10.21859/joe-05024. | ||
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