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      • Open Access Article

        1 - Presenting a model for extracting information from text documents, based on text-mining in the field of e-learning
        AhmadAgha kardan Mina Kaihani nejad
        ۱٬۵۸۱ / ۵٬۰۰۰ When computer networks became the mainstay of science and economics, a large amount of documentation became available. For this purpose, text mining methods are used to extract useful information. Text mining is an important research field in discovering More
        ۱٬۵۸۱ / ۵٬۰۰۰ When computer networks became the mainstay of science and economics, a large amount of documentation became available. For this purpose, text mining methods are used to extract useful information. Text mining is an important research field in discovering unknown information, hypotheses, and new facts by extracting information from various documents. Also, text mining is revealing hidden information using a method that shows the ability to deal with a large number of words and structures in natural language on the one hand, and allows the management of ambiguity and doubt on the other hand. In addition, text mining is defined as data mining of text, which is equivalent to text analysis and deals with the process of extracting information from text and extracting high quality information from patterns and processes. It is also known as text data mining or knowledge discovery from text databases and is defined as the process of extracting patterns or knowledge from text documents. The research method in this work is as follows: firstly, the research conducted in the field of text mining was investigated with an emphasis on its methods and applications in electronic education. During these studies, related researches were classified in the field of e-learning. After classifying the researches, issues and solutions related to the issues raised in those works were extracted. In this regard, in this article, the definition of text mining will be discussed first. Then the process of text mining and the fields of application of text mining in e-learning are examined. In the following, text mining methods are introduced and each of these methods is discussed in the field of electronic education. At the end, while deducing the important points of the conducted studies, a model for extracting information for the use of text mining methods in e-learning is proposed. Manuscript profile
      • Open Access Article

        2 - Identifying and Explaining the Dimensions, Components and Indicators of the Electronic Learning Management System at the Maskan Bank
        ali reza nasirinia Amir hossein Mahmoodi yalda delgoshaei ali reza badeleh
        The purpose of this study was to identify and explain the dimensions, components and indicators of the electronic learning management system in the Maskan Bank. The research method is applied in terms of purpose, and in terms of how information is collected, it is quali More
        The purpose of this study was to identify and explain the dimensions, components and indicators of the electronic learning management system in the Maskan Bank. The research method is applied in terms of purpose, and in terms of how information is collected, it is qualitative. In this research, after the purposeful sampling, the process of interviewing with key and informed experts until the identification and full description of the dimensions, components and indicators, and the achievement of theoretical saturation persisted. To determine the logical framework of the total collected data, the steps were taken to identify, note and classify the concepts. For this purpose, the collected data were aggregated and the texts were re-examined and categorized as major categories. Finally, the categories were reviewed, repetitive deletions, similar and smaller mergers, and the dimensions of the specified topic were ranked within the framework of the components and indicators. Based on the results, the extracted model has 4 dimensions, 5 components and 30 indicators for assessing the electronic learning management system. After finalizing the data analysis and extracting the conceptual model, in order to measure the validity of the model with 10 experts and experts of the bank in the form of a focal group about the dimensions, components and indicators of the model of consensus and agreement. Manuscript profile