Strides in Development of Medical Education

Document Type : Original Article


1 Department of Knowledge and Information Science, Shahid Bahonar University of Kerman, Kerman, Iran

2 Department of Knowledge and Information Science, Bam University of Medical Sciences, Bam, Iran


Background Data visualization refers to the methods of data presentation in visual formats using specific technologies, which can present data through a visual process with better understanding and recognition. The current study aimed at evaluating the rate of data transfer, learning, and ease of access to data through data visualization in virtual learning systems. Methods The current survey was conducted on 131 students and teachers of virtual medical courses at Shahid Beheshti University of Medical Sciences as the statistical population in the academic year 2015 - 2016. Of the study population, 79 subjects were selected using the simple random sampling method. Data collection tool was a 28-item researcher-made questionnaire, which its reliability was confirmed by the Cronbach’s alpha 0.82. Results Based on the results of the current study, data visualization could significantly affect virtual learning in the students. In addition, data visualization improved productivity indices as well as rate of data transfer, learning, and ease of access to data among students and teachers. Conclusions Based on the results of the current study, it is recommended that data visualization be used in educational programs at all grades and courses in order to benefit from its advantages in improving productivity, rate of data transfer, learning, and ease of access to data among students and teachers of universities and institutes.


  1. Azadi Ahmadabadi G. [Information Visualization and its Usability in the Field of Knowledge and Information Science]. Q J Knowl Inf Manag. 2015;1(4):97–111. Persian.
  2. Doroudi F. [Illustrating information]. J Nation Stud Librar Inf Organ. 2008;18(4):213–32. Persian.
  3. Doroudi F. [A study on the application of techniques and methods of visualization and the impact of visual literacy on educational activities]. J Educ Innovat. 2009;8(30):105–38. Persian.
  4. Chen C, Hardle W, Unwin A. Handbook of data visualization. Berlin: Springer; 2007.
  5. Chen C. Information visualization and virtual environments. London:Springer; 2013.
  6. Shahbeigi F, Nazari S. [Virtual education: Benefits and limitations]. J Med Educ Dev. 2012;6(1):47–54. Persian.
  7. Kheyrandish M. [Feasibility pattern of executing virtual education]. Educ Strategy Med Sci. 2012; 4(3): 137–42. Persian.
  8. Doroudi F, Soleimani Nejad A. [Visual communication and visual information processing: An introduction to the theoretical foundations of visualization]. J Nation Stud Librar Inf Organ. 2012; 22(2): 6–24.Persian.
  9. Keim DA. Information visualization and visual datamining. IEEE Trans Visual Comput Graphics. 2002; 8(1):1–8. doi:10.1109/2945.981847.
  10. Liao Z, Gao M, Yan F. Application study of information visualization in digital library. National Conference on Information Technology and Computer Science (CITCS 2012). Lunzhou. Atlantis Press; 2012.
  11. Spencen R.Information visualization: Designforinteraction. 2nd ed. London: Pearson Education Ltd; 2007.
  12. Sadeghi A. Virtual reality and its application in medicine [dissertation]. Tehran: Amir Kabir University; 2015. Persian.
  13. Nikrevesh MR, Jalali M. [A survey on the application of information technology and virtual education in promoting medical education]. Proceedings of the First National Information Technology Congress in Health System. Bandar Abbas, Iran. 2010. Persian.
  1. Naderifar M, Ghaljaie F, Jalalodini A, Rezaie N, Salalr A. [Challenges of e-learning in medical sciences: A review article]. J Med Educ Dev. 2016;9(23):102–11. Persian.
  2. Hakimzadeh R, Afandideh N. [Qualification of e-learning medical education courses of Tehran University of Medical Sciences]. Educ Strategy Med Sci. 2014;7(4):257–64.