Leily Ghomashchi; Mohammad Reza Motadel; Abbas Toloee ashlaghi
Abstract
Due to the lack of direct communication between teacher and learner in the e-learning environment, learners in this environment need education with good support and personal redemption. Using this research, you can have new technology in e-learning on the emotions and moods of learners. The statistical ...
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Due to the lack of direct communication between teacher and learner in the e-learning environment, learners in this environment need education with good support and personal redemption. Using this research, you can have new technology in e-learning on the emotions and moods of learners. The statistical population of Farzanegan 7 high school math students is 75 people. In order to find 5 different types of learners' emotions, students are divided into 5 groups of 15, each of which is specifically exposed to different conditions. You have to experience happiness, anger, fear, frustration and hatred, and their face information is posted through the webcam. Your videos are recorded and the learners' emotions are measured and detected in different situations according to the neural network's deep learning algorithms by the Face Reader incremental software system. There has been a research method of designing a fuzzy expert system and a fuzzy inference system. And makes learners discover. And reject. Created within ranges. This change indicates that it increases the feeling and increases the negative feeling. Keywords: Internet of Things, e-learning, learners' emotions.
Ebrahim Rajabpour; Sara Babaahmadi
Volume 2, Issue 5 , June 2004, , Pages 19-40
Abstract
E-learning is not restricted by time or place and can provide teachers with a learning environment that is flexible and convenient, enabling them to efficiently learn, quickly develop their professional expertise, and advance professionally. The overall objective of this study was to investigate the ...
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E-learning is not restricted by time or place and can provide teachers with a learning environment that is flexible and convenient, enabling them to efficiently learn, quickly develop their professional expertise, and advance professionally. The overall objective of this study was to investigate the possibility of implementation of E-Learning system in the Persian Gulf University of Bushehr. Statistical population of this study included students at 90-91 semester in Bushehr University. Sample size was 360. The method for selection of statistical sample size was stratified random sampling method. To confirm the validity of questionnaire content validity was used. Therefore, the opinions of teachers and experts were obtained. The reliability of the questionnaire was measured by Cranach’s alpha. The coefficients of different sections of questionnaire are between 0/90 to 0/97. For data analysis, descriptive statistics and inferential statistics (ANOVA one-way and t-test) was used. The results showed that the students of Persian Gulf University have relative readiness to participate in E-learning. In addition, analytical data indicated that the faculty of Literature and Humanity Science and Engineering had the highest score, but the read in ess to participate ine-learning between these faculties with others has no meaningful difference.
