Electronic learning- virtual
S. M. Jafari; J. Babashahi; N. Eskandary; M. Zandi Nasab
Abstract
Background and Objectives: Today, with the development of mass communication tools and computers, the penetration and expansion of the Internet in various areas of life is undeniable. One of the most pervasive phenomena that has emerged on the Internet in recent years is the emergence of social ...
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Background and Objectives: Today, with the development of mass communication tools and computers, the penetration and expansion of the Internet in various areas of life is undeniable. One of the most pervasive phenomena that has emerged on the Internet in recent years is the emergence of social media. Social media has affected social and economic life. The spread of social media has attracted the attention of various segments of society, including educational administrators. From the perspective of educational administrators, social media provides unique opportunities for teaching and learning. Social media is a group of Internet-based applications that rely on the basics of Web technology to create and share user-generated content. Social media, in addition to the entertainment aspect, is used to access and disseminate learning information, and their use to achieve educational goals has been studied in detail. One of the applications of social media is learning, in which the learning process takes place through knowledge sharing. With the development of social media, proper and efficient use of it is inevitable. Social media is a good tool for learning. In order to have a better and more advanced society, special attention should be given to the role of learning through social media. One of the issues that promotes the development of learning through social media is the loyalty of users to learning through social media. Therefore, in the present study, the antecedents of learning loyalty through social media have been studied. Methods: The present study is a descriptive study in terms of objective and applied in nature. The data gathering instrument was a questionnaire and the population of this research was the users of the Telegram group of Qom IT Centre. In the current study, convenience sampling was used to collect 364 questionnaires. Data were analyzed using SPSS and LISREL software. Findings: The findings of the study showed that more than 95% of the statistical population were university educated and all the research hypotheses were confirmed. Conclusion: The results of the research show that two indicators for measurement of learning loyalty through social media (behavioral intention to continue using and willingness to recommend to others) are affected by satisfaction, and satisfaction is also affected by self-efficacy of learning and interest to learning through social media. The results also showed that the cognitive disability of the Internet has disadvantages and causes a decrease in self-efficacy and interest in learning through social media. When a person feels the self-efficacy of learning through social media, they find interest and satisfaction in learning through it. Also, the interest in learning through social media leads to the satisfaction of learning through it, and finally, if a person finds satisfaction in learning, they have a behavioral tendency to continue using social media and a tendency to advise others.Through the above, the development of social media as a learning tool is possible, and this brings many benefits, including reducing learning costs, reducing learning time, expanding learning fairly, and improving learning.
E-Lerning
F. Zarrin; Gh. Montazer
Abstract
Background and Objective:One of the features used to personalize the e-learning environment is self-efficacy. This feature refers to people's belief in their ability to do tasks. Experts believe that academic self-efficacy is one of the important factors that has a positive effect on effective learning ...
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Background and Objective:One of the features used to personalize the e-learning environment is self-efficacy. This feature refers to people's belief in their ability to do tasks. Experts believe that academic self-efficacy is one of the important factors that has a positive effect on effective learning and academic achievement of learners. The concept Self-efficacy began with the work of Albert Bandura. According to Bandura, self-efficacy is a person's beliefs or judgments about his or her ability to perform tasks and responsibilities. This concept is not about having a skill or ability, but about believing in the ability to do work in different situations. The purpose of this article is to design an intelligent tutoring system. The learning model of the proposed system includes features of academic self-efficacy and learning style. Methods:Academic self-efficacy has been automatically identified by designing of a fuzzy system based on learners' behavior and learning style through the questionnaire of Felder-Silverman which contains 44 question. After identification of these features, Proportional education strategies are presented and implemented in tutoring system in a real environment. The effectiveness of the proposed tutoring system is evaluated in terms of learners' operation by investigation of their satisfaction from system. Findings: The results show that considering functional characteristics in learning model, presenting some learning objects and proportional recommendations to the characteristics, results in 75% learners' educational progress and their educational satisfaction. Moreover, evaluation of the time passed in the e-Learning environment before and after using Perles does not show a significant difference. Results show that the designed intelligent tutoring system based on the learner model and educational strategies, has led not only to the educational success of the learners but also to increase in their enthusiasm in using the system. Considering other effective and cognitive features in learning is highly recommended in order to provide a personalized environment. Conclusion:The purpose of this study was to personalize the e-learning environment. For this purpose, the characteristics of academic self-efficacy and learning style, which are two effective characteristics in learning, were selected to model learners in a networked environment. Learning style was obtained through a questionnaire and an attempt was made to identify academic self-efficacy indirectly by using learner behaviors in the e-learning environment. To do this, the self-efficacy identification system was designed and evaluated using fuzzy set theory. Comparison of the output results of the identifier system with the academic self-efficacy questionnaire shows that the accuracy of the system is 88.2%. This indicates that the learner's behaviors in the e-learning environment can be an acceptable indicator of his/her academic self-efficacy and these behaviors can be considered as a basis for identifying academic self-efficacy. It is suggested that in future research, other effective features in education such as cognitive style, emotion, and personality be considered in order to provide a personalized environment for learners.
