نشریه فناوری اطلاعات و ارتباطات ایران
سال چهارم شماره 11 (بهار و تابستان 1391)

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.

Increment of complexity and costs of information technology systems have made many problems about infrastructure and manpower for organizations which have been decreased by the use of outsourcing. All organizations try to increase the success of outsourcing projects by using different ways. One of the important reasons for failure of these projects especially in IT area- because of its major role in acquisition of competitive advantage- is selecting inappropriate contractor. In order to existence of different and contradictive criteria، this selection is complex. The purpose of this research is to determine important criteria and specify the weights of each criterion and finally design a fuzzy expert system for selecting the best contractor in IT outsourcing. The method of knowledge acquisition from experts-which are managers and experts of IT- is a questionnaire. Also in order to evaluate the validity of system، it was used in an IT company. The results show the favorable performance of contractor selection expert system.

The purpose of this study was the evaluation of e-learning in Iran higher education by using benchmarking approach. The population was all of students in four universities which presented e-learning. By multistage clustered sampling method، 702 students were selected. The research instrument was a researcher made questionnaire included e-learning (organization and management affair، technology، educational aspects، interface design، support services، evaluation and ethical and legal considerations). After calculating validity and reliability، the questionnaires were distributed among sample students and data was analyzed by ANOVA and Scheffe post hoc. Results showed: the university D with higher mean in all of seven dimensions had the best position among three other universities. Furthermore، the university B in five dimensions and the university C in two dimensions was the best. While benchmarking can be tested processes and models from other universities and implementing techniques and approaches used them more.

In this study، in order to assess the e-service quality of Payame Noor University based on E-SERVQUAL model، the service superiority gap score was measured. The research methodology was quantitative، in terms of main strategy; applied، in terms of research objective; descriptive–survey، in terms of analytical technique and library and field study، in terms of implementation strategy. The research population consisted of about 20000 undergraduate and postgraduate sophomores and above studying in Payame Noor University of Ardebil during spring semester of academic year 2010-2011. A multi-stage cluster sampling method was used for the study. Among the universities، the Payame Noor University of Ardebil، another university and a unit were selected randomly. According to Krjci-Morgan table، assuming error α = 0. 05 and using cluster method of sampling، the overall sample size was determined 500 and 476 questionnaires were finally analyzable. For data collection، the e-service quality questionnaire (E-SERVQUAL with alpha reliability coefficient. 97 for the perceptional level and. 95 in for the expectation level) was used. Results from Kolmogorov-Smirnov test (z =. 704، p =. 703 > 0. 05) showed that the data distribution is normal. Data collected was analyzed by using single-sample t-test. Results showed that e-service quality was significantly low in all aspects and components of services. In other words، there was a service superiority gap in electronic service in Payam Noor University and students were unsatisfied with the quality of electronic services.

Nowadays، organizational portals hold a key role in disseminating organizational information at different layers. Within their scope، educational portals are particularly significant، due to their ability in upgrading users’ knowledge and skill in realizing entrepreneurship business. Considering the geographical distributed-ness as well as job variation in entrepreneurship and the parameters which are influential in the process of designing these portals، developing a mechanism that can offer a high capability to portals in upgrading entrepreneurship skill، is of high priority. This necessitates the very features which are essential to designing efficiently these sorts of portals. In this paper، an approach is suggested according to which the features expected for designing an educational portal are represented in terms of an ontology، and it is subsequently explained how and in what way these features can on the one hand help realize entrepreneurship business and on the other hand help entrepreneurship training/education come true in a reasonable way. At the end، the capability of the proposed approach will be discussed in terms of two practical scenarios being used frequently.

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.

Today the world is moving toward a virtual space. Whereas the business، health، education، and many of the other activities would devote time and money in the past، by appearing the virtual space most of them have suitable function today. Educating is an inseparable part of human which is entered to electronic world as individuals and organizations are gradually moving towards this type of educating. In this research، the relationship between emotional intelligence and trends of e-learning in organizations has been studied. The purpose of this study is applied and the research method is descriptive- survey. The questionnaire method was used to collect data. The Cronbach’s Alpha coefficient of the first questionnaire was obtained 0. 76 and the second questionnaire was 0. 83 which confirm the validity of the questionnaires. The content validity to test questions was used and for this purpose، experts، academics and experts were used. The population of this research is all the Alborz Province Bank Employees which 80 individuals were selected as sample size and sampling is done randomly. To analyze data the Spearman correlation coefficient and multiple regression was used. Finally all the theories proved. Self-motivation and self-awareness variables were determined as predictor variables which can entry into the ultimate regression equation to describe the tendency of employees to accept changes in their electronic education.