The Correlation between Effective Factors of E-Learning and Demographic Variables in a Post-Graduate Program of Virtual Medical Education in Tehran University of Medical Sciences
-
Farnoosh Golband
,
Agha Fatemeh Hosseini
,
Rita Mojtahedzadeh
,
Fakhrossadat Mirhosseini
,
Shoaleh Bigdeli
Abstract
E-learning as an educational approach has been adopted by diverse educational and academic centers worldwide as it facilitates learning in facing the challenges of the new era in education. Considering the significance of virtual education and its growing practice, it is of vital importance to examine its components for promoting and maintaining success. This analytical cross-sectional study was an attempt to determine the relationship between four factors of content, educator, learner and system, and effective e-learning in terms of demographic variables, including age, gender, educational background, and marital status of postgraduate master's students (MSc) studying at virtual faculty of Tehran University of Medical Sciences. The sample was selected by census (n=60); a demographic data gathering tool and a researcher-made questionnaire were used to collect data. The face and content validity of both tools were confirmed and the results were analyzed by descriptive statistics (frequency, percentile, standard deviation and mean) and inferential statistics (independent t-test, Scheffe's test, one-way ANOVA and Pearson correlation test) by using SPSS (V.16). The present study revealed that There was no statistically significant relationship between age and marital status and effective e-learning (P>0.05); whereas, there was a statistically significant difference between gender and educational background with effective e-learning (P<0.05). Knowing the extent to which these factors can influence effective e-learning can help managers and designers to make the right decisions about educational components of e-learning, i.e. content, educator, system and learner and improve them to create a more productive learning environment for learners.
Seraji F, Attaran M, editors. E-learning: foundation, design, implementation & evaluaton. 1st ed. Tehran, Iran: Buali Sina University Press; 2011; p. 24-26
Samadi V, Bazargan A, Montazer GH. Identify the key success factors of e-learning systems in Iranian universities. Proceedings of the Second International Conference on E-learning and E-teaching. 2010 Dec. 10-11, Tehran, Iran. Tehran: Amirkabir University (Tehran Polytechnic), 2010; p. 1-8.
Chen NS, Lin KM. Factors affecting e-learning for achievement. (Accessed in Apr 10, 2014, at http://lttf.ieee.org/icalt2002/proceedings/t502_icalt148_End.pdf).
Hong KS. Relationships between students’ and instructional variables with satisfaction and learning from a Web-based course. Internet High Educ 2002;5(3):267-81.
Yukselturk E, Bulut S. Predictors for Student Success in an Online Course. Educ Technol Soc 2007;10(2):71-83.
Colorado JT, Eberle J. Student demographics and success in online learning environments. Emporia State Res Stud 2010;46(1):4-10.
Marti´nez-Caro E. Factors Affecting Effectiveness in E-Learning: An Analysis in Production Management Courses. Comput Appl Eng Educ 2011;19(3):572-81.
Ong C-S, Lai J-Y. Gender differences in perceptions and relationships among dominants of e-learning acceptance. Comput Human Behav 2006;22(5):816-29.
| Files | ||
| Issue | Vol 52, No 11 (2014) | |
| Section | Original Article(s) | |
| Keywords | ||
| Virtual education Electronic learning Effective e-learning Demographic variables | ||
| Rights and permissions | |
|
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
