List of Articles سیستم&#172

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  1 - The Analysis of Implementing the Objectification of Subsidy Plan on Drug Supply Chain: A System Dynamics Approach
  محدثه  کلانتری زهرا  حیاتی هانی  شاهمرادی مقدم mir saman pishvaee
  Objectification of subsidy plan could be described as one of the best government plans and policies. According to perspective document 2025 that consider the first place in economy for Iran and regarding to government financial limitation on national economy, the reform More

  Objectification of subsidy plan could be described as one of the best government plans and policies. According to perspective document 2025 that consider the first place in economy for Iran and regarding to government financial limitation on national economy, the reform of economic policies is a part of economic necessity for Iran. In this paper, by establishing a suitable system dynamics model, we plan to represent the efficacy of the direct subsidy distribution on level satisfaction of people from drug price changes and also consider the efficacy of this subsidy distribution on total profit of drug supply chain. First, a system dynamics of drug supply chain by considering the direct subsidy distribution have modeled. Then, the model is simulated. To do this, the casual loop diagram is depicted and then with its help, the stock and flow diagram constructed. The simulation results show the unsuitable performance for implementing the subsidy objectification. As a result, two strategies have been suggested to improve the situation. Manuscript profile
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  2 - 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. Ieee Multidisciplinary Engineering Education Magazine, 2 (2). 2007. 19. Rau P P, Gao Q, Wu L M. Using mobile communication technology in high school education: Motivation, pressure, and learning performance. Computers & Education, 50(1), 1-22. 2008. 20. McConatha D, Matt P, Michael J L. Mobile learning in the classroom: An empirical assessment of a new tool for students and teachers. The Turkish Online Journal of Educational Technology, TOJET, 7 (3), 2. 2008. 21. Dewitte C M. Integrating cell phones into the secondary Montessori classroom Doctoral dissertation, Walden University. Retrieved from http:// udini.proquest.com/view/integrating-cell-phones-intothe- goid:305229558/. 2010. 22. Nyamba S Y, Mlozi M R S. Factors influencing the use of mobile phones in communicating agricultural information: a case of kilolo district, iringa, Tanzania. International Journal of Information and Communication Technology Research, 2(7), 558-63. 2012. 23. Bullock A Does. technology help doctors to access, use and share knowledge? Medical education. 48(1): 28-33.2014. 24. Naderi F, Porshafei H. Mobile Learning: Opportunities and Challenges. Third International Conference on Psychology; Educational Sciences and Lifestyle. Torbat Heydarieh University. https://www.civilica.com/Paper-ICPE03-ICPE03_252.html.2016. 25. Moradi I, Dideban H. The Position of Mobile Learning in Medical Sciences Universities: Opinions, Consequences and Challenges, Teb va Tazkiyeh. Summer. Volume 27. Issue 2. Pages 145-313. 2018. 26. Jahaniyan R, Etebar sh. Evaluation of the Situation of Virtual Education in E-Learning Centers of Universities of Tehran from Students' Perspectives. Information and Communication Technology in Education. 2 (4) 53-65. 2012. 27. Shohel M, Mahruf C, Power T. Introducing mobile technology for enhancing teaching and learning to the English language classroom in Bangladesh. Department of Education, The Open University.2010. 28. 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