The penetration of information technology into the educational system has formed a new concept called e-learning. The task of libraries is to provide infrastructure with the purpose of retrieving information from the production of integration, organization and distribution of knowledge. The way that libraries use for e-learning includes learning collections, tools and services necessary for studying, increasing the quality of reference services and worldwide accessibility of books. Therefore, the aim of the research is to identify the factors affecting electronic learning in information retrieval. The current research is of the development type that was carried out with a qualitative approach and using the data base theory method. The statistical population of the research consists of 20 experts in the field of information technology in public libraries of the country, who were selected by non-probability sampling method. The data were collected through interviews with them and analyzed during three stages of open, central and selective coding, and based on them, the research model was designed. The findings showed that e-learning in information retrieval has 6 main categories, 45 subcategories and 85 concepts, which in the form of a paradigm model include causal factors (4 factors), contextual factors (6 factors), intervening factors (3 factors), central factors (3 factors). factor), strategy (4 factors), and consequences (4 factors) are presented. Therefore, based on dimensions, main categories and subcategories, the effects of e-learning in information retrieval in the studied society can be measured and managed.