List of Articles Mobile learning

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  1 - IMPLEMENT THE SMART TRAINING SYSTEMS IN THE MOBIL LEARNING WAY
  manzar ezzati abarghani
  This research was carried out to consider the effects of the implementation of the smart training systems in the mobile learning way. The research method was semi-experimental. The statistical society of this study was all first boy students in third grade at smart high More

  This research was carried out to consider the effects of the implementation of the smart training systems in the mobile learning way. The research method was semi-experimental. The statistical society of this study was all first boy students in third grade at smart high schools in Garmsar. The academic year was the first term of 96-97 academic year.                                                                                             The statistical sample was chosen from the high school third grade first students based on the Morgan table and regarding with the society volume. 102 students were chosen in the cluster random method. At first 2 regions were chosen from Garmsar training regions then 2 first high schools was chosen and finally 102 students were selected from the third grade students of these schools.                                                                                                These 102 students were divided randomly into 2 groups (each group had 51 students). The groups were experimental group and control group. Several lessons from English Book were chosen as the training material and before the training, 2 groups gave the pre-test. The control group as usual were trained based on the smart training systems ( smart board , the computer facilities and the technologies related to the electronic management and control) but the experimental group was trained using the smart training systems ( mobile devices such as Tablet and cell phone). After training, the post-test was performed.                                                                                                       The obtained data were analyzed using Spss version 18 software in description statistical level (the average and standard deviation) and deductive              statistical level (independent T statistical test).                                                              The research results showed that the marks of the English lesson for experimental  group ( who had been trained using the smart training systems in the mobile learning way) were higher than the marks of the English lesson for control group ( who had been trained using the smart training systems) ( t: 3/353 , sig: 0/001)                                                                                                                           So we can say that implementing the smart training systems in the mobile learning way have possible effects on the training. Manuscript profile
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  2 - Investigating the Effect of Implementation of Interactive Mobile Learning System on Personal Performance of Drivers
    Ghasemali Bazaee Hasan Asadzadeh
  The use of information and communication technology tools has provided new solutions to the development and improvement of the educational system, which is an e-learning and mobile learning outcome. Among the important issues of the education sector in the railways are More

  The use of information and communication technology tools has provided new solutions to the development and improvement of the educational system, which is an e-learning and mobile learning outcome. Among the important issues of the education sector in the railways are certain conditions for some occupations, including operation, fleet, track, communications, and signaling, which diminish the possibility of their presence in specific periods of time. This research was carried out using a semi-experimental research and a pretest-posttest with the control group. The aim of this study was to investigate the effect of interactive mobile learning system on the personal performance of drivers. In order to investigate the research problem and hypothesis testing, a quasi-experimental research method was used and a pre-test post-test design with the control group was used. The groups were selected through a purposeful sampling method from drivers in Tehran station and randomly divided into experimental and control groups. The statistical population consisted of all locomotives in Tehran station with 420 people. Purposefully, 45 people were selected as a sample of their job burnout score in their personal performance component below 32. Using random sampling method and randomly divided into three groups of 15, two groups of participants with adult education (andragogy) and interactive mobile learning system (IMLS) with a heutagogy approach and a control group. According to the test results, learning by interactive learning method was effective in increasing the frequency and intensity of the individual performance of the drivers. Manuscript profile
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  3 - 1. Nori Y.]Intelligent Learning Units will bring mobile learning and technology together. Congratulations from the top e-creator of the electronic content of Guilan province. 2012. available at: http://shabestan.ir/detail/News/227973. 2. Liu X , Toki E I , Pange J. The use of ICT in preschool education in greece and China: A Comparative study. Procedia - Social and Behavioral Sciences,.112,.7,.1167- 76 available at http://www.sciencedirect.com. 2014. 3. Chaharband E. Intelligence of schools on the first subfamily . availableat: http://ijvlms.ir/online/browse.php?a_code=A-10-6-69&sid=1&slc_lang=fa 2017. 4. Sharifi A, Davoudi AH, Islamiyah F. The relationship between the use of information and communication technologies and the performance of teachers in the teaching and learning process , Information and Communication Technology in Educational second year. 4(8). . 2012. 5. HakimZadeh R, Abolghasemi N M, Nejati F. Comparison of the feeling of belonging to the school, the motivation for academic achievement and academic achievement among the students of intelligent schools (ICT) and ordinary schools of the year Third high school in Isfahan. Education Journal. 2013. 6. Noahi S, Hosseini S M, Rokhsarizadeh H, Sabouri A, Alishiri, Gh. ] Evaluation of Achievement Motivation and its Relationship with Academic Achievement in Medical[. Nursing and Health Care Students in a Medical University, Military Medicine14 (3). 200-204. . 2012. 7. Rajabi M. Comparison of the motivation of progress, self-regulation and academic achievement of third-year students of mathematics in ordinary and intelligent schools of Hamadan in the academic year 1392-1391. Master's thesis for educational technology.Arak University. Faculty of Literature and Humanities. 2013. 8. Beheshti Z. The Role of Information and Communication Technologies in Mobile Learning.4 thNational Electrical Engineering Conference on. Islamic Azad University. Najaf Abad branch. Iran, March 15, 16. 2007. 9. Barzegar R, Dehghanzadeh H, Moghadamzadeh A. From E-learning to Mobile Learning Theoretical Foundations. MediaSummer. Volume 3. Number 2. . 2012. 10. El-Hussein N. O , Cronje J. C. Defining mobile learning in the higher educatoin landscape.Educational Technology&Society , 12-21. 2010. 11. Trinder J. Mobile learning evaluation: the development of tools and techniques for the evaluation of learning exploiting mobile devices through the analysis of automatically collected usage logs-an iterative approach .PhD Thesis . Glasgow, Scotland: University of glasgow. 2012. 12. Hashemi M, Ghasemi B. Using Mobile Phones in Language Learning/Teaching. Procedia Social and Behavioral Sciences 15 Internet. p. 2947–51. Available from: http://www.sciencedirect.com. 2011. 13. Lai C. H , Yang J C, Chen F C, Ho Chant T W. Affordances of Mobile Technologies for Experiential Learning: The Interplay of Technology and Pedagogical Practices. Computer Assisted Learning, Vol. 23, PP. 326-37. 2007 14. Zarnagar M. The role of mobile on learning. Available at http://vestasoftware.com/fa/blog/item/11-mlearning.2018. 15. Kashki H, Baghani M. Comparison of the role of teachers in synchronous and non-synchronous environment in e-learning. 2011. Fourth National Conference on Electronic Learning in Medical Sciences. 15-20. 2011. 16. Attewell J. From research and development to mobile learning: Tools for education and training providers and their learner . Retrieved from http://www.mlearn.org.za/cd/papers/Attewell.pdf. 2005. 17. Wang Y S, Wu M C ,Wang H Y. Investigating the determinants and age and gender differences in the acceptance of mobile learning .British Journal of Educational Technology , 92-118. 2009. 18. Jacob S M , Issac B. Mobile learning culture and effects in higher education. 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ShahMohammadi A M, Kohi F A. Mobile Application and Text Messaging in Science Education. 8th Seminar on Chemistry of Iran. 6th and 7th of September. Semnan University. 2014.
  mahmod ekrami manzar ezzati abarghani
  Aim: The study is aimed to investigate the ways that implementing intelligent educational systems can inform mobile learning. Method: The research method was quasi-experimental. The statistical population is composed of male students of the third-grade secondary school More

  Aim: The study is aimed to investigate the ways that implementing intelligent educational systems can inform mobile learning. Method: The research method was quasi-experimental. The statistical population is composed of male students of the third-grade secondary school of Smart in the city of Grammar of the academic year 97-96. According to Morgan schedule, in this study, 102 students of third grade high school from intelligent schools were selected using multistage cluster sampling and were randomly assigned into experimental and control groups. Several lessons from the English language book were selected as the content of the training, and before the training, they were done on both groups of pre-tests. The control group was trained on an intelligent learning system as usual. But the learning group was experimenting with intelligent learning systems through mobile devices (tablets and mobiles). After training, the post-test was performed on both groups. Analyzee: Data were analyzed using SPSSv.18 software in two levels of descriptive and inferential statistics (independent t-test). Results: The results of the study showed that the English language test grades of the experimental group, which were trained using intelligent educational systems in the field of mobile learning, were more than the English language test grades that were taught using intelligent educational systems. So, we can say that the implementation of intelligent educational systems in the context of mobile learning has a positive effect on education. Manuscript profile