• Home
  • یادگیری الکترونیکی
    • List of Articles یادگیری الکترونیکی

      • Open Access Article

        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
      • Open Access Article

        2 - Personalized E-learning Environment Using Fuzzy Recommender System base on Combination of Learning Style and Cognitive Trait
        nafise saberi  
        Personalization needs to identify the learners’ preferences and their characteristics as an important part in any e-learning environment which without identify learners’ mental characteristics and their learning approaches, personalization cannot be possible. Whatever t More
        Personalization needs to identify the learners’ preferences and their characteristics as an important part in any e-learning environment which without identify learners’ mental characteristics and their learning approaches, personalization cannot be possible. Whatever this identifying process has been done more completely and more accurately, the learner model that based on it will be more reliable. Using the combination and relation of effective theories in learning approaches detection such as learning style and cognitive trait, have been used in this research. Also for reducing ambiguity in learners’ opinions and their feedbacks, have been used fuzzy logic. This study was conducted during one semester on some e-learning students in engineering field based on fuzzy recommender system in two phases. This recommender is part of Intelligent Tutoring System as prepared some recommendations based on learning style in first phase and on half of courses and in second phase and on remaining courses, prepared recommendations based on combination of two mentioneed theories. Learners’ ability have been monitored and evaluated based on fuzzy item response theory in all steps. Measures of Intelligent Tutoring System have been optimized after this combination that clarifies the presentation of accurate recommendations in appropriate time. The time of effective learning and amount of referee to tutor have decreased, learner’s and tutor’s view to e-learning that define such as learners’ success rate and the learner’s satisfaction have improved increasingly. Manuscript profile
      • Open Access Article

        3 - 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
      • Open Access Article

        4 - 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
      • Open Access Article

        5 - Optimal LO Selection in E-Learning Environment Using PSO Algorithm
        gholamali montazer
        One of the key issues in e-learning is to identify needs, educational behavior and learning speed of the learners and design a suitable curriculum commensurate to their abilities. This goal is achieved by identifying the learners’ different dimension of personality and More
        One of the key issues in e-learning is to identify needs, educational behavior and learning speed of the learners and design a suitable curriculum commensurate to their abilities. This goal is achieved by identifying the learners’ different dimension of personality and ability and assigning suitable learning material to them according these features. In this paper, an intelligent tutoring system is proposed which optimizes the LO selection in e-learning environment. In order to evaluate the proposed method, the designed system has been used in a web-based instruction system in different conditions and the results of the "Academically success", "Satisfactory learning achievement" and "Time of the learners’ attendance" have been analyzed. The obtained results show a significant efficiency compared to other applied methods. Manuscript profile
      • Open Access Article

        6 - 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
      • Open Access Article

        7 - Automatic Sepration of Learnrs in Learning Groups Based on Identifying Learning Style from Their Behavior in Learning Environment
        mohammad sadegh rezaei gholamali montazer
        Automatic identification of learners groups based on similarity of learning style improves e-learning systems from the viewpoint of learning adaptation and collaboration among learners. In this paper, a new system is proposed for identifying groups of learners, who have More
        Automatic identification of learners groups based on similarity of learning style improves e-learning systems from the viewpoint of learning adaptation and collaboration among learners. In this paper, a new system is proposed for identifying groups of learners, who have similar learning style, by using learners’ behavior information in an e-learning environment. Proposed clustering method for separation of learners is developed based on ART neural network structure and Snap-Drift neural network learning process. This artificial network enables us to identify learners groups in uncertain group separation parameters, without knowing appropriate number of groups.  The results of an empirical evaluation of the proposed method, which are based on two criteria, “Davies-Bouldin” and “Purity and Gathering”, indicate that our proposed method outperforms other clustering methods in terms of accuracy. Manuscript profile
      • Open Access Article

        8 - 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
      • Open Access Article

        9 - 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

        10 - Matched grouping of learners in e-learning environment using council clustering method
        malihe kamareiy gholamali montazer
        Despite the individual differences of learners such as their abilities, goals, knowledge, learning styles and backgrounds, most of the electronic learning systems has presented an equal learning content for all of the learners. This is happening while producing a specia More
        Despite the individual differences of learners such as their abilities, goals, knowledge, learning styles and backgrounds, most of the electronic learning systems has presented an equal learning content for all of the learners. This is happening while producing a specialized content for the individuals. Increasing appliances of artificial memory in teaching the adaptation learning systems will require recommended teaching methods which are appropriate to the learner’s individual differences. In order to grouping learners based on their learning styles in their own similar groups, we are presenting a new method in this text. This method is mainly about combining the result of clustering methods which is certainly reducing choosing an unreliable method. Meanwhile it is preventing method`s complication which is because of using simpler and more useful clustering algorithms that subsequently will cause a better result and it may happen due to the fact that different methods will overlap each other’s defections. In this article we are using Felder- Silverman learning style which consist of 5 dimensions: processing (active-reflective) , input (visual-verbal) , understanding (sequential-global) , perception (sensing-intuitive) and organization (inductive-deductive). Firstly, proper behavioral indicators to different learning style dimension of Silverman-Feedler will recognize and then based on these behaviors learners will be able to be groups by one of these 5 methods. In the case of evaluating the proposed method, utilizing the c++ programming electronic teaching period information is necessary. Learner members of experiment environment were 98 ones which were extracting the expressed indicators connected to their network behaviors in 4 dimensions of Perception , process , input and understanding of Felder- Silverman model. On the other hand students were asked to fill the questionnaire forms and their learning styles were calculated between 0-11 and then based on the behavioral information they were being grouped. We are using 5 clustering grouping methods : k-means , FCM , KNN , K-Medoids and SVM to produce ensemble clustering in generation step and co-occurrence samples or majority votes were used in Integration step. Evaluating the results will require the followings : Davies-bouldin index , Variance index , and gathering purity index. Due to the fact that the expressed methods are not able to indicate automatically the best cluster, clustering 3,4,5,6,7 clusters were using this method. And with calculating Davies-bouldin index the best cluster in each method were selected. In FCM each data were contributed to the cluster which has the most dependence to that . Numerical results of Davies-bouldin index have shown that ensemble clusters have the exact accumulation clusters among the others. Clustering variance in different size is indicating that ensemble clustering has the most accumulation and the least dispersion and also purity-gathering results has shown that proposed grouping method has the ability to gather learners with the similar style in each cluster and has a better efficiency compared to the others. So with this idea while maintaining simplicity, more accurate results based on the Davies-bouldin index , Variance index , and gathering purity index is obtained. Due to the importance of high accuracy and high speed and low computational complexity in the clustering methods, instead of a more complex approach, combining the weaker and easier clustering methods, better and more accurate results reached. Manuscript profile
      • Open Access Article

        11 - Designing a personalized e-learning system using learners' characteristics and implementing it with the gamification elements
        Mohammadhassan Abbasi gholamali montazer zahra alipour fatemeh ghorbani
        In this paper, a new personalized system based on learners' motivation with utilization of game elements have been implemented for the e-learning environment. Learners' motivation is measured by AMS questionnaire and then by finding the player's type based on AMS result More
        In this paper, a new personalized system based on learners' motivation with utilization of game elements have been implemented for the e-learning environment. Learners' motivation is measured by AMS questionnaire and then by finding the player's type based on AMS results, appropriate game elements are selected for each learner and added to their webpage. To implement the designed system, the intelligent tutoring system has been designed with 117 participants in a math course. To measure the performance of the designed system, academic performance and the time spent on learning management system (LMS) in the control and test groups, before and after personalization have been compared. The results show that personalization based on individual motivation by utilization of gamification leads to a significant improvement in learners’ academic performance compared to pre-personalization and compared to the control group. Manuscript profile
      • Open Access Article

        12 - Learners Assessment Tools in E-Learning
        hamed abbasi kasani gholamreza shams mourkani farhad seraji morteza rezaeezadeh
        With the development of electronic learning, Assessment has become a major challenge in this area. Assessment is a critical element in the Teaching - Learning Process and it can affect teaching and learning. Actually, assessment is an integral part of any education syst More
        With the development of electronic learning, Assessment has become a major challenge in this area. Assessment is a critical element in the Teaching - Learning Process and it can affect teaching and learning. Actually, assessment is an integral part of any education system; therefore, assessment tools are also very important. The focus of this research is on the synthesis of Learners Assessment tools in electronic learning environments. The research approach is qualitative and its method is synthesis research. In this regard, the statistical population of the study included documents and research related to assessment tools in electronic learning environments that 21 study units were studied by available sampling method. The findings of the research show that 24 tools for assessing learners in electronic learning environment are used, which were placed in two categories of assessment tools: 1. Synchronous Communication and 2. Asynchronous Communication. In the meantime, assessment tools with Synchronous Communication such as tests, chat and online discussion groups, and joint group assignments; and Asynchronous Communication assessment tools such as self-assessment, projects, electronic work folders, peer assessment, and articles have the most usage for assessing learners in e-learning environments. Also tests and joint group assignments were common in both synchronous and asynchronous tools. In the end, it is suggested that several assessment methods applied in the electronic learning environment, to increase the credibility of the assessment. Manuscript profile
      • Open Access Article

        13 - Learners Grouping in Adaptive Learning Systems Using Fuzzy Grafting Clustering
        M. S. Rezaei Gh. A. Montazer
        Quality of adaptive and collaborative learning systems is related to appropriate specifying learners and accuracy of separation learners in homogenous and heterogeneous groups. In the proposed method for learners grouping, researchers effort to improving basic clusterin More
        Quality of adaptive and collaborative learning systems is related to appropriate specifying learners and accuracy of separation learners in homogenous and heterogeneous groups. In the proposed method for learners grouping, researchers effort to improving basic clustering methods by combination of them and improving methods. This work makes the complexity of grouping methods increased and quality of result’s groups decreased. In this paper, new method for selection appropriate clusters based on fuzzy theory is proposed. In this method, each cluster is defined as a fuzzy set and the corresponding clusters are determined. So the best cluster is selected among each corresponding clusters. The results of an empirical evaluation of the proposed method based on two criteria: “Davies-Bouldin” and “Purity and Gathering” indicate that this method has better performance than other clustering methods such as FCM, K-means, hybrid clustering method (HCM), evolutionary fuzzy clustering (EFC) and ART neural network. Manuscript profile
      • Open Access Article

        14 - Social Media Application in E-Learning Process Management
        مهدی شامی زنجانی   زهرا تقی‌نیا آهنگری
        The current research aimed to offer a conceptual framework for utilization of social software in e-learning process management. In this research, after reviewing the relevant literature, social software were identified based on their relevancy with subject and frequency More
        The current research aimed to offer a conceptual framework for utilization of social software in e-learning process management. In this research, after reviewing the relevant literature, social software were identified based on their relevancy with subject and frequency of usage and an initial conceptual framework was offered based on the application of social software in each stage of e-learning process management and the validity of proposed framework was surveyed by polling experts. This is an applied research in which descriptive survey was used as the data collecting method. Eight Web 2.0 applications including Blog, Wiki, Social Networks, RSS, Podcast, Mesh-up, Social Bookmarking and IM were identified, with reviewing the literature. The findings resulted from the analysis of the data collected from experts showed that in e-learning process planning, three Web 2.0 applications including Wiki, Social Networks and Social Bookmarking, in e-learning process control, four Web 2.0 applications including Social Networks, RSS, Social Bookmarking and IM, and in e-learning process organizing and improvement, all identified Web 2.0 applications were respectively verified from the application viewpoint. Manuscript profile
      • Open Access Article

        15 - Blended Learning Development in Iranian Banks: A Step toward Improving the Quality or Escaping from E-Learning Requirements
        دکتر فرهاد سراجی
        The current research seeks to study effective factors on banks’ attitudes towards holding blended learning courses. After developing the e-learning, the new form of learning environments has been formed that organizations are leading to maintain these environments to bl More
        The current research seeks to study effective factors on banks’ attitudes towards holding blended learning courses. After developing the e-learning, the new form of learning environments has been formed that organizations are leading to maintain these environments to blend the traditional and e-learning capacities in order to blend techniques and abilities of learning and e-learning. Statistical population included 27 private and public banks in which two public (Meli and Tejarat Banks) and two private banks (Parsian and Pasargad Banks) have been chosen by cluster sampling. Then among staff of four banks, 285 respondents have been chosen. The research tool was a researcher-made questionnaire and its validity was confirmed by ten e-learning scholars and academicians and also its reliability was estimated 0.82 after performing among 55 samples. Factor analysis shows that five following factors explain 40.427 percent of all variations of factors respectively: the structural and organizational factors, the difficulties in producing the e-material, the inability in reaching the qualified e- content, the special advantages of blended learning environments and lack of enough knowledge and skills. In addition, for determining the amount of the fitting of the recognized coefficient AMOS program was used which shows the propriety of the recognized factors for the determined criteria. Manuscript profile
      • Open Access Article

        16 - Blended Learning Development in Iranian Banks: A Step toward Improving the Quality or Escaping from E-Learning Requirements
        دکتر فرهاد سراجی
        The current research seeks to study effective factors on banks’ attitudes towards holding blended learning courses. After developing the e-learning, the new form of learning environments has been formed that organizations are leading to maintain these environments to bl More
        The current research seeks to study effective factors on banks’ attitudes towards holding blended learning courses. After developing the e-learning, the new form of learning environments has been formed that organizations are leading to maintain these environments to blend the traditional and e-learning capacities in order to blend techniques and abilities of learning and e-learning. Statistical population included 27 private and public banks in which two public (Meli and Tejarat Banks) and two private banks (Parsian and Pasargad Banks) have been chosen by cluster sampling. Then among staff of four banks, 285 respondents have been chosen. The research tool was a researcher-made questionnaire and its validity was confirmed by ten e-learning scholars and academicians and also its reliability was estimated 0.82 after performing among 55 samples. Factor analysis shows that five following factors explain 40.427 percent of all variations of factors respectively: the structural and organizational factors, the difficulties in producing the e-material, the inability in reaching the qualified e- content, the special advantages of blended learning environments and lack of enough knowledge and skills. In addition, for determining the amount of the fitting of the recognized coefficient AMOS program was used which shows the propriety of the recognized factors for the determined criteria. Manuscript profile
      • Open Access Article

        17 - Identifying the Competencies of Teacher Assistants the Process of Online Learning- teaching: A Qualitative Research
        Khodayar Abili Zeinab Sadat Mostafavi Fatemeh Narenji thani
        The purpose of this study was to identify the dimensions and competency components of teacher assistants in electronic learning context. It was an applied research with exploratory qualitative Methodology. The statistical population of the study was specialist assistant More
        The purpose of this study was to identify the dimensions and competency components of teacher assistants in electronic learning context. It was an applied research with exploratory qualitative Methodology. The statistical population of the study was specialist assistants with experience in the e-learning environment. To achieve the goal of research, the theoretical and empirical literature of the research were studied. The data were collected, using a semi-structured interview method with 22 experts in the subject area, and analyzed using content analysis method. Based on the results of the research, the competency model of the assistants in four dimensions was as follows: professional-professional competencies (educational, research, subject knowledge, class management), interpersonal communication competencies (teamwork and interactivity), competencies related to information and communication technology (thinking Information and communication technology, ICT knowledge, ICT skills) and general and individual competencies (perceptual, creativity, innovation, ethics and behavior) were identified and designed. Manuscript profile
      • Open Access Article

        18 - Providing a Model for Continuing the Use of E-learning in Work Environments (Case study: Headquarters of the State Tax Administration)
        Hanieh Shami zanjani Mostafa Niknami Nadergholi Ghorchian Amir hosein Mohammad davoudi
        This research aims to provide a model for the continued use of e-learning in work environments (Headquarters of the State Tax Administration). The present study is a descriptive survey type in terms of the applied purpose, in terms of the type of mixed data. For collect More
        This research aims to provide a model for the continued use of e-learning in work environments (Headquarters of the State Tax Administration). The present study is a descriptive survey type in terms of the applied purpose, in terms of the type of mixed data. For collecting data, a library method, a semi-structured interview, a researcher-made questionnaire, and factors affecting continuity were used. The formal validity of the questionnaire was obtained through pilot implementation, content validity through comprehensive literature review and judgment of experts, and construct validity using a confirmatory and exploratory factor analysis. The reliability of the questionnaire was estimated to be 0.93 by calculating the Cronbach's alpha coefficient. Qualitative data analysis was done through coding. Quantitative data analysis was performed using SPSS and LISREL software. Descriptive statistics and inferential statistics including exploratory factor analysis to determine the factors and components of the model and the confirmatory factor analysis using the structural equation modeling technique for presenting the model through LISREL software have been used. The findings showed that the quality of the system experts, organizational support and expected performance with frequency 12, have the first priority, respectively, in system factors, organizational factors and individual factors. Also, the age of 7 is among the demographic (demographic) factors of the first priority. The share of "system factors", "organizational factors", "human factors" and "demographic factors" was 48%, 36%, 28% and 19% respectively for continued use of e-learning. Finally, a model for continuing use of e-learning in the headquarters of the State Tax Administration was presented based on its effective factors and its components. Manuscript profile
      • Open Access Article

        19 - 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
      • Open Access Article

        20 - The Role of Continuing E-Learning on Professional Development: A Case Study of the Telecom Industry
        Farnoush Aalami Reza Sajady Mohammad Khalajghasemabadi
        Learning is the only source of sustainable strategic advantage for companies. New technologies, including e-learning, have created a variety of training opportunities for corporate employees. But the continuity of these courses is of great importance. The main purpose o More
        Learning is the only source of sustainable strategic advantage for companies. New technologies, including e-learning, have created a variety of training opportunities for corporate employees. But the continuity of these courses is of great importance. The main purpose of this research is the effect of continuing e-learning on the professional development of employees. The research method is descriptive and correlational. The statistical population of this research was 924 employees of Communication Services Company, 272 people were selected by random sampling and completed 260 standard electronic questionnaires. To analyze the data, independent t-test, ANOVA, correlation coefficient, and linear regression were used. The mean score of e-learning and professional development of the staff of Communication Services Company is higher than the average. The interest in the continuity of e-learning (4.61) shows that perceived applicability and integrity have the highest score and perceived merit lower score. Also, e-learning in the three subscales of user satisfaction, perceived intimacy, and interest in continuing learning has had the most significant impact on the increase of professional development of employees. The continuity of e-learning in communication services company has relatively high effectiveness. Perceived communication component, usability, internal motivation, interest in perceived self-retention e-learning, user satisfaction, information quality, and perceived competence have the highest mean. Manuscript profile
      • Open Access Article

        21 - Identification and evaluation of factors influencing the culture of E-learning for adoption of IT and implementation of SCRM
        میثم کیوانی Mehdi Zrak hossein momeni mahmouei Ali Hosseinzadeh
        The purpose of this study was to identify and evaluate the effective factors of e-learning culture for IT adoption and SCRM deployment in Shargh Cement Company. The qualitative and objective research approach is a thematic exploratory study in which 25 managers of sharg More
        The purpose of this study was to identify and evaluate the effective factors of e-learning culture for IT adoption and SCRM deployment in Shargh Cement Company. The qualitative and objective research approach is a thematic exploratory study in which 25 managers of shargh cement and experts in this field were selected through semi-structured interviews through simple random sampling method. Findings The research identifies seven major themes, or factors, affecting e-learning culture for IT adoption and SCRM deployment. The seven themes are structural factors, behavioral factors, environmental factors, processes, outputs, effects and outcomes. 146 codes were extracted from these main themes in the context of the interviews.From these main themes, 75 concepts were extracted based on conceptual similarity, categorization, and composition. Then, the role of each of the subcategories in creating an e-learning culture for IT adoption and SCRM deployment was examined. Manuscript profile
      • Open Access Article

        22 - Interactive video or video? Which one is more effective on learner engagement
        Hamed Hoseini zarrabi Abasalt Khorasani Morteza Rezaeizadeh Mohammad ali Mazaheri
        Digital technologies have become an important part of education and educational activists pay special attention to these technologies in order to increase learners' engagement in three dimensions: cognitive, emotional and behavioral. Video is the most popular e-learning More
        Digital technologies have become an important part of education and educational activists pay special attention to these technologies in order to increase learners' engagement in three dimensions: cognitive, emotional and behavioral. Video is the most popular e-learning medium, but with the development of interactive video technology and the possibility of more learner interaction with content, it is important to examine the effects of interactive video on learners' engagement. The purpose of this study is to answer the question which of the linear video and interactive video have the greatest impact on learners' engagement and whether this effect is different in learning styles. For this purpose, in an experimental design, a training course was designed, half of which was presented as a linear video and the other half as an interactive video. The statistical population was educational specialist and training and development specialist who were selected by purposive and available sampling of 55 people. After completing the course, learners completed an engagement questionnaire and answered the four-choice test questions of the course. The internal validity of these two instruments was calculated using Cronbach's alpha coefficient, which was the participation evaluation form (0.878) and test (0.824). Using repeated measures design and paired t-test, the results showed that interactive video compared to linear video is significantly more effective on learners' engagement in three dimensions of cognitive, emotional and behavioral and is recommended to training and development specialists to use interactive videos. The theoretical and practical effects and applications of these findings in the field of organizational training and development are discussed. Manuscript profile
      • Open Access Article

        23 - Identifying methods of creating Learner-content interactions for developing learner engagement in online learning environments
        hamed hosseini zarrabi Abasalt Khorasani morteza rezaei zadeh
        Training is a employee developmental tool. Due to the expansion of e-learning in organizations, the learner engagement is a very important issue that through learning interaction, it is possible. Learning interaction concept is a crucial component in any learning envi More
        Training is a employee developmental tool. Due to the expansion of e-learning in organizations, the learner engagement is a very important issue that through learning interaction, it is possible. Learning interaction concept is a crucial component in any learning environment and also in e-learning the importance of interaction had been accepted. Despite numerous studies on the types of interactions and the effects of each of them on different variables, a small share of research is devoted to identifying methods of creating interactions especially learner-content interactions. The purpose of this study is identifying methods of creating Learner-content interactions in online learning environments because the lack of interactions in online learning environment is one of the most important problems. The methods of this research are phenomenological focus group, semi-structured interview and qualitative content analysis which have been used in order to provide a systematic review of the previous research from the website of web of science from 2009 to 2019. For validity of data we used triangulation in research methods. The results showed nine way for creating interactions between learner and content. Manuscript profile