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:: Volume 8, Issue 3 (July-August 2015) ::
Educ Strategy Med Sci 2015, 8(3): 179-185 Back to browse issues page
Perceptual Characteristics of Students in e-Content of the Curriculum Mashhad University of Medical Sciences
Ali Abadi Kh1 , Moradi Doliskani M 2, Moradi R1 , Mohammadi Galedar A3
1- Educational Technology Department, Psychology & Educational Sciences Faculty, Allameh Tabataba'i University, Tehran, Iran
2- Educational Technology Department, Psychology & Educational Sciences Faculty, Ferdowsi University of Mashhad, Mashhad, Iran , Moradi_master2011@yahoo.com
3- Educational Sciences Department, Human Sciences Faculty, Khorram Abad Branch, Islamic Azad University, Khorram Abad, Iran
Abstract:   (9641 Views)

Aims: Alongside the development of newfound technologies and also the advent of e-learning into so many areas, educational system generally and medical education specifically, have encountered too many new needs in the field of curriculum and educational materials. The aim of this study was to evaluate the students’ cognitive and perceptual characteristics of the electronic content.
Instrument & Methods: This descriptive survey study was performed in 250 e-learning students (164 girls and 86 boys) of Mashhad University of Medical Sciences in 2013-14 academic year who were selected through random stratified sampling method. The used instrument was van der Laan and Vanberk perceptual features questionnaire that measured the perceptual characteristics in relative advantage, compatibility, complexity, testability and visibility components. Data analysis was performed using one-sample T test.
Findings: The average score of perceptual characteristics of students (68.28±6.14) was significantly (p=0.0001) less than the 80% cut-off point of hypothetical average (75). The average score of relative advantage subscale (17.23±2.44) was significantly (p=0.0001) more than the 80% cut-off point of hypothetical average (16), But the average scores of compatibility (11.63±2.48 p=0.0001), complexity (13.53±1.72 p=0.0001), testability (11.37±1.33 p=0.0001), and visibility (15.09±2.36 p>0.05) were lower than the hypothetical mean (16).
Conclusion: Perceptual characteristics of students in the field of electronic content has no desirable status in the curriculum of Mashhad University of Medical Sciences regarding its subscales and only relative advantage subscale has a desirable condition.
Keywords: Learning [MeSH], Curriculum [MeSH], Medicine [MeSH]
Full-Text [PDF 482 kb]   (2099 Downloads)    
Article Type: Original Research | Subject: Theories of Learning and Teaching in Medical Sciences
Received: 2015/05/23 | Accepted: 2015/08/15 | Published: 2015/08/16
References
1. Nam CW, Zellner RD. The relative effects of positive interdependence and group processing on student achievement and attitude on line cooperative learning. Comput Educ. 2011;56(3):680-8. [Science Direct]
2. Chen C, Liu M, Chang M. Personalized curriculum sequencing utilizing modified item response theory for web-based instruction. Exp Sys App. 2006;30(2):378-96. [Science Direct]
3. George PP, Papachristou N, Belisario JM, Wang W, Wark PA, Cotic Z, et al. Online eLearning for undergraduates in health professions: A systematic review of the impact on knowledge, skills, attitudes and satisfaction. J Glob Health. 2014;4(1):010406. [PubMed]
4. Link TM, Marz R. Computer literacy and attitudes towards e-learning among first year medical students. BMC Med Educ. 2006;6:34. [PubMed]
5. Rovai AP, Wighting MJ, Baker JD, Grooms LD. Development of an instrument to measure perceived cognitive, affective, and psychomotor learning in traditional and virtual classroom higher education settings. Int High Educ. 2009;12(1):7-13. [Science Direct]
6. Pundak D, Herscovitz O, Shacham M, Wiser-Biton R. Attitudes of face-to face and e-learning instructors to ward active learning. J E-Learn Learn Obj. 2009; 5:215-32. [File]
7. Pragnell MV, Roselli T, Rossano V. Can a hypermedia cooperative e-learning environment stimulate constructive collaboration?. Educ Technol Soc. 2006;9(2):119-32. [File]
8. Huang LK. Planning and implementation framework for a hybrid e-learning model The context of a part-time LIS postgraduate programe. J Lib Inf Sci. 2010;42(1):45-69. [Homepage]
9. Karahoca D, Dulda KA, Yucel A, Gulluoglu B, Arifoglu E. Interactive e-content development for vocational and technical education. Procedia-Soc Behav Sci. 2010;2(2):5842-9. [Science Direct]
10. Sakiroglu U, Cebi A, Bezir C, Akkan Y. Views of the instructors through dynamic education content design in web environment. Procedia-Soc Behav Sci. 2009;1(1):1012-6. [Science Direct]
11. Majidi A, Zandian F, Hasanzadeh M. The Evaluation of Digital Library academic expectations of the user interface screen. J Inf Sci Technol. 2010;2(4):695-720. [Persian] [Homepage]
12. El-Deghaidy H, Nouby, A. Effectiveness of a blended e-learning cooperative approach in an Egyptian teacher education programme. Comput Educ. 2008;51(3):988-1006. [Science Direct]
13. Orvis KA, Brusso RC, Wasserman ME, Fisher SL. E-nabled for e-learning? the moderating role of personality in determining the optimal degree of learner control in an e-learning environment. Hum Perform. 2010;24(1):60-78. [DOI]
14. Cross J. The future of eLearning. Horizon. 2004;12(4):150-6. [DOI]
15. Malekian F, Narimani M, Sahebjami S. The role of cognitive and metacognitive strategies to motivate learners to advance the education system based on information and communications technology. Curr Knowl Res Educ Sci. 2009;7(25):21-38. [Persian] [Homepage]
16. Riahi GH, Abedi M. Design and software development e-learning (e-learning) to learn how wind turbines renewable energy system. J Eng Educ. 2008;10(38):119-35. [Persian] [Homepage]
17. Safavi GH, Abedi M. The Education from idea to action. Tehran: Res academic pub; 2009. [Persian]
18. Ninoriya S, Chawan PM, Meshram BB. CMS, LMS and LCMS For eLearning. IJCSI. 2011;8(2):644-7. [File]
19. Mirzabeygi M, Kharazi SK, Mousavi SA. Design an approach based on cognitive development of electronic content for academic courses with an emphasis on the humanities in higher education. J Curr Stud. 2009;3(12):12-71. [Persian] [Homepage]
20. Fathivajargah K, Kashtiaray N, Foroghi A, Zimitat K. Supervisor selection and student-supervisor relation: PhD graduates perspective. J Curric Stud. 2009;4(3):281-308. [Persian] [File]
21. Mehrmoohamadi M. Curriculum Theories, Approaches and Perspectives. 2nd edition. Mashhad: Astan Quds Razavi Publication; 2010. [Persian] [Homepage]
22. Khosravi M, Fathi Vajargah K, Maleki H, Nourozi D. An analysis of Acceptance of Curriculum Innovations in the Higher Education System: A Case Study of the Iranian Universities Curriculum Revision Bylaw. J Educ Psychol. 2013;9(27):135-66. [Persian] [Homepage]
23. Dooley KE. Towards a holistic model for the diffusion of educational technologies: An integrative review of educational innovation studies. Educ Technol Soc. 1999;2(4):35-45. [Homepage]
24. Ellsworth JB. Surviving change: A survey of educational change models. New York: Clearing House on Info & Tech; 2000. [Homepage]
25. Rogers EM. Diffusion of innovations. 5th edition. New York: Free Press; 2003. [Homepage]
26. Amipour F. The e-learning in universities and institutions of higher education. Q Book. 2007;2(69):217-28. [Persian] [File]
27. Taghiyareh F, Seyadati M. Key selection criteria of e-learning authoring tools. Q J Res Plan High Educ. 2007;13(1):75-89. [Persian] [Homepage]
28. Cook DA. Where are we with Web-based learning in medical education?. Med Teach. 2006;28(7):594-8. [PubMed]
29. Dadgostarnia M, Changiz T, Vafamehr V. Constructing a clinical curriculum evaluation tool based on community orientation strategy (a guide for application). Iran J Med Educ. 2011;10(5):755-66. [Persian] [Homepage]
30. Choules AP. The use of elearning in medical education: A review of the current situation. Postgrad Med J. 2007;83(978):212-6. [PubMed]
31. Zandi S, Abedi D, Yousefi A, Changiz T, Yamani N, Kabiri P. The electronic learning as a new educational technology and its integration in medical education. Iran J Med Educ. 2004;61(11):58-65. [Persian]
32. Moradidoliskani M. Identify the components and standards of professional ethics for teachers to teach Islamic Studies [Dissertation]. Ferdowsi University of Mashhad; 2014. [Persian] [Homepage]
33. Vanderlinde R, van Braak J. A new ICT curriculum for primary education in Flanders: Defining and predicting teachers\\\\\\\\\\\\\\\' perceptions of innovation attributes. Educ Technol Soc. 2011;14(2);124-35. [File]
34. Kazemigharechi M, Aminkhandaghi M. Evaluate the quality of electronic content from the perspective of Mashhad university of Medical Sciences. J ICT Educ. 2014;4(4):75-93. [Persian] [Homepage]
35. Latifnejad Roudsari R, Jafari H, Hosseini BL, Esfalani A. Measuring students\\\\\\\\\\\\\\\' knowledge and attitude towards e-learning in Mashhad university of medical sciences (MUMS). Iran J Med Educ. 2011;10(4):364-73. [Persian] [Homepage]
36. Akbaryborng M, Jafarisuny H, Ahanchian MR, Kareshki H. Curriculum orientations among faculty: The role of gender, academic level and learning approach (face-to-face and virtual) in Mashhad university of medical sciences. Iran J Med Educ. 2012;12(3):210-9. [Persian] [Homepage]
37. Alavi Sh, Shariati M. Investigating Employees Satisfaction with E-learning Courses in Tehran University of Medical Sciences. Iran J Med Educ. 2010;10(3):200-10. [Persian] [Homepage]
38. Mohammadi A, Mohammadi J. Survey of lecturers\\\\\\\\\\\\\\\' opinions about the learning environment at Zanjan university of medical sciences. J Med Educ Dev. 2014;7(15):117-26. [Persian] [Homepage]
39. Mousavi F, Saeydipour B, Rostami M. The factors affecting the adoption and use of ICT among rural youth based on innovation diffusion theory of Rogers. J Soc Sci. 2012;6(17):165-84. [Persian] [Homepage]
40. Seyednaghavi MA. Study of teachers and students attitude toward e-learning: Surveying in Iran’s e-learning universities. Q J Res Plan High Educ. 2007;13(1):157-76. [Persian] [Homepage]
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Ali Abadi Kh, Moradi Doliskani M, Moradi R, Mohammadi Galedar A. Perceptual Characteristics of Students in e-Content of the Curriculum Mashhad University of Medical Sciences. Educ Strategy Med Sci 2015; 8 (3) :179-185
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Volume 8, Issue 3 (July-August 2015) Back to browse issues page
دوماهنامه علمی- پژوهشی راهبــردهای آموزش در علوم پزشکی Education Strategies in Medical Sciences
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