List of Articles یادگیری الکترونیکی

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  1 - An Information Architecture Framework for Utilizing Social Networks in Iranian Higher Education System
  mehrab ali golshani rosta مهرابعلی  گلشنی‌روستا
  Management of social networks, has become a strategic challenge for different applications including education due to its growing importance. Enterprise Architecture (EA), uses a holistic specification of information technology functions in organizations to decrease the More

  Management of social networks, has become a strategic challenge for different applications including education due to its growing importance. Enterprise Architecture (EA), uses a holistic specification of information technology functions in organizations to decrease the complexity of using information technology and to increase its efficiency. As regards, using social networks in education in most countries of the world has not yet finished its preliminary stages, so for this reason there is no standard framework and model. The aim of this paper is to design an appropriate architecture framework for utilizing social networks in higher education system in Iran. To do this,first the concept of social networks and its applications at educational environment have been investigated.Then the concept of enterprise architecture and information architecture framework are studied, Zachman framework has been selected as the main tool and then using questionnaire the vital aspects of implementing social networks in higher education have been identified from the views of experts. The findings of study indicate the main reasons for the use of social networks in higher education (strategy), the most important actors in this field (people), the infrastructure needed (infrastructure), the data and information required in this environment (data) and also the processes required to fulfill the social network of learning (process). The main characteristic of the final framework is a presentation of a comprehensive framework for using social network in education system with attention to local considerations. Manuscript profile
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  2 - A New Approach to Extract and Utilize Learners Social Relationships through Analyzing Forums Structure and Contents
  Somayeh Ahari
  Collaborative learning tools play important roles in communications and knowledge building, among learners in a virtual learning environment. They demand appropriate grouping algorithms as well as facilitating learners’ participations mechanisms. This paper has utilized More

  Collaborative learning tools play important roles in communications and knowledge building, among learners in a virtual learning environment. They demand appropriate grouping algorithms as well as facilitating learners’ participations mechanisms. This paper has utilized some information retrieval techniquesto investigate the relevance of discussion posts to their containing forums, and extract learners’ most frequent topics. Trying to explore students online interactions, researchers have applied social network analysis, which has led to a new representation of social networking. They have proposed a new grouping algorithm based on the provided representation of social relationships. The mentioned approaches have been evaluated in some academic courses in Department of Electrical and Computer Engineering, and ELearning Center, University of Tehran. The results have revealed some considerable improvements in comparison to the traditional approaches. Research outcomes may help tutors to create and guide groups of learners more effectively. Manuscript profile
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  3 - Proposing a Model for Extracting Information from Textual Documents, Based on Text Mining in E-learning
  Somayeh Ahari
  As computer networks become the backbones of science and economy, enormous quantities documents become available. So, for extracting useful information from textual data, text mining techniques have been used. Text Mining has become an important research area that disco More

  As computer networks become the backbones of science and economy, enormous quantities documents become available. So, for extracting useful information from textual data, text mining techniques have been used. Text Mining has become an important research area that discoveries unknown information, facts or new hypotheses by automatically extracting information from different written documents. Text mining aims at disclosing the concealed information by means of methods which on the one hand are able to cope with the large number of words and structures in natural language and on the other hand allow handling vagueness, uncertainty and fuzziness. Text mining, referred to as text data mining, roughly equivalent to text analytics, refers to the process of deriving high-quality information from text that high-quality information is typically derived through the patterns and processes. Moreover, text mining, also known as text data mining or knowledge discovery from textual databases, refers to the process of extracting patterns or knowledge from text documents. In this research, a survey of text mining techniques and applications in e-learning has been presented. During these studies, relevant researches in the field of e-learning were classified. After classification of researches, related problems and solutions were extracted. In this paper, first, definition of text mining is presented. Then, the process of text mining and its applications in e-learning domain are described. Furthermore, text mining techniques are introduced, and each of these methods in the field of e-learning is considered. Finally, a model for the information extraction by text mining techniques in e-learning domain is proposed. Manuscript profile
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  4 - An Investigation on the Effect of Multifactor Model of Improving Critical Thinking in E-learning Environments
  mohammadreza nili jamshid heydari hossein moradi
  In the third millennium, people deal with multiple, diverse, and complicated problems as they cannot possess full control over the information, which is constantly produced and accumulated. Having a high skill of critical thinking for assessing the results of different More

  In the third millennium, people deal with multiple, diverse, and complicated problems as they cannot possess full control over the information, which is constantly produced and accumulated. Having a high skill of critical thinking for assessing the results of different issues and decision making about them based on evidences is an unavoidable necessity. The researchers of this work proposed a model with seven factors (components) for critical thinking in e-learning environments. The statistical group of this work is the M.Sc. medical education students of  AZAD university e-learning environments, and the students of the same field from Islamic Azad University traditional education system studying during 2011-2012. Among the research community, 47 members were selected based on a simple random method and divided into two trial (with 23 members) and reference (with 42 members) groups. To train the trial group, the seven-factor critical thinking training scale was utilized in e-learning environments in 15 sessions with empirical sciences course. In the reference group, the same seven-factor critical thinking training scale was used in the classroom environment in lecturing in 15 sessions with empirical sciences course. The model factors and components are challenge, representation, creation of opportunity, creation of motivation, logical analysis, encouragement, responsibility, and commitment. Both groups were subject to two pretest and posttest steps within two trial groups, which were considered as reference to each other. Both groups responded to the Watson- Glaser™ Critical Thinking Appraisal within two pretest and posttest steps, while the covariance analysis statistical test was used for analysis of the results. The results indicate significant difference between the scores between trial and reference groups in improving the critical thinking of the students in terms of inferential, assumption detection, deduction, interpretation, and logical reasoning evaluation components (p=0.001). According to the results, in terms of improving critical thinking, the trial group trained in the e-learning environment indicates higher scores as compared to the group trained in the traditional classroom environment. Manuscript profile
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  5 - Content and structural analysis of online forums in order to extract users' social relationships and use them in grouping mechanisms.
  Fatemeh  Orojie fataneh taghiyareh
  Today, thanks to the growth and development of communication and information technologies, online learning systems have been able to provide group learning facilities and space for interaction and exchange of ideas between learners. This requires the formation of effect More

  Today, thanks to the growth and development of communication and information technologies, online learning systems have been able to provide group learning facilities and space for interaction and exchange of ideas between learners. This requires the formation of effective learning groups and the provision of learner participation tools in online learning environments, which is rarely seen in existing systems that use virtual learning centers. In this article, the content and structure of the discussion forums have been examined. Content analysis has been done in order to match the content of the discussions with the objectives of the forum and to extract the areas of interest of the participants. While expressing the achievements of the social network analysis of an academic learning environment, the researchers have presented a solution for extracting the social relationships of people through the structural analysis of discussion forums in an online learning environment. Also, they have presented a method to use the extracted relationships in the mechanisms of grouping learners and evaluated its efficiency. Different parts of this research have been conducted in different courses in consecutive semesters and its achievements can be used to improve collaborative learning activities in online and blended learning environments. Manuscript profile
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  6 - 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