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.
Electronic learning- virtual
H. Fardanesh; I. Ebrahimzade; M. R. Sarmadi; S. Omrani
Abstract
Abstract Background: Education is one of the fundamental pillars of developing capabilities, skills and competencies in various sectors of society. Results of studies e-learning compared with conventional teaching methods Help teachers and education stakeholders in designing, developing and implementing ...
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Abstract Background: Education is one of the fundamental pillars of developing capabilities, skills and competencies in various sectors of society. Results of studies e-learning compared with conventional teaching methods Help teachers and education stakeholders in designing, developing and implementing appropriate Learning courses for learners. The purpose of this study was to compare of conventional teaching methods (lecture-based) and e-learning methods using models, strategies and techniques of instructional design on learning and motivation of physicians and assistants on the topic of acute respiratory failure. Methods: In a quasi-experimental study, 60 General physician and assistant were assessed in two 30- staff groups by available sampling method based on the two instructional methods. Instructional material in the first group was based on traditional Continuing Medical Education on programs written syllabus and e-learning content development was based on the same programs with the integration of the instructional design and motivational design models. Results: Data were collected by pretest, posttest, and assessing motivation questionnaires. Based on the findings, There was no significant difference between pretest and posttest scores of the two groups (P>0.05) But after educational programs the motivation of physicians in the both groups had significant differences (P<0/05). Conclusion: The results of this study indicate a significant relationship of using instructional strategies and techniques designed to increase participants' motivation in electronic medical continuing education.
Electronic learning- virtual
S. Ayat; F. Bananzadeh
Abstract
Abstract: The importance of physician’s access to the latest findings reveals the need for studying about more efficient infrastructures based on the potential of new educational technologies. In this paper, a practical model to optimize the process of medical education has been presented. This ...
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Abstract: The importance of physician’s access to the latest findings reveals the need for studying about more efficient infrastructures based on the potential of new educational technologies. In this paper, a practical model to optimize the process of medical education has been presented. This model is based on the knowledge obtained through questionnaires completed by faculty members and clinical assistants from Medical school of Shiraz University. The questionnaire reliability using Cronbach's alpha was (α=0.71). Research findings show that there is no optimal continuing educational method for updating the knowledge of studied population and more than 82% of the target audience access to the latest resources by a delay more than one month. Furthermore, 68% of them believe that treatment algorithms are the fastest methods of training. Therefore, based on these results, by employing web 2, a new model, is proposed to achieve faster and continues method for education. Functional assessment of the proposed model approved by IT professionals and its effectiveness evaluated through a descriptive study of the respondent population.
